Running & Staffing Machine Learning Projects
We are a team of passionate and experienced engineers revolutionizing Data Science & Machine Learning.
Focused solely on Data-Centric AI & Machine Learning in Staff Augmentation.
We redefined the model of traditional cooperation with Sigmoidal DNA, comprised of unique Design Authority, Production-focus methods, Deployment Strategy, and Reproducibility in a maximum of 3 steps.
📩 Send an email: hi@sigmoidal.io
📞Talk to an Expert: https://calendly.com/sigmoidal
Want to know more? ⤵️
✔️Staff Augmentation
Designated for long-term projects. Sigmoidals’ production-focused, engaging beyond traditional partnerships with Sigmoidal DNA while understanding your business KPIs.
Our expertise lies in Object-oriented Programming, MLOps, Data-centric AI, NLP, and Predictive Analytics and Forecasting. Sigmoidal effectively increases performance by 29% with Sigmoidal DNA & proven machine learning experts.
✔️Data-centric AI & Machine Learning Consulting
Sigmoidal understands how to bring relevance to the forefront. With comprehensive engineering experience and innovative techniques like Event Storming, we recognize different business perspectives and technological shifts to aid your efforts.
More than 40+ Fortune 500 Companies, including HP, Novartis, and VC-backed Startups like Zynga, hired developers with FlairHub.
Having “a few data scientists” is not enough. Leverage new technological capabilities with Sigmoidal.
📞Talk to an Expert: https://calendly.com/flairhub/meeting

headquarters
other locations
Recommended Providers
Focus
Portfolio
Novartis AG, Signal, T-Mobile, SkyCatch, Baillie Gifford, BP, JEI Corporation, TDNet, Allianz SE, Mercedes-Benz Group AG, Infineon Technologies AG

AI-based ARD tracking system in Pharma
Sigmoidal provided Novartis with 5 machine learning specialists and delivered an AI-based system for tracking and analyzing opinions on drugs and their side effects on social media. A Natural Language Processing solution, including a feature to automatically generate an executive summary. Sigmoidals’ system empowered the client with the following capabilities:
✔️Monitor the long-term side effects of drugs and opinions on social media.
✔️Automatically generate executive summary containing all found ADR and insights.
✔️More efficient identification of novel adverse drug reactions.
✔️Reducing the cost of drug safety surveillance systems.
Thanks to our solution, drug safety surveillance systems can be easily improved by incorporating the knowledge extracted from social media into them. Our system enables fast scanning of various data resources, such as Twitter, Facebook, or forums posts.
💻Full Case Study: https://sigmoidal.io/case-studies/ai-in-pharma-drug-side-effects/

AI Sentiment Analysis - Investment Signals
Baillie Gifford - an investment management firm challenged Sigmoidal to automate the process of sentiment tracking and analysis. Provided by Sigmoidal engineers designed and developed a solution that uses Sigmoidal’s proprietary AI engine for real-time tracking and analysis of users’ sentiment across social media. To achieve the best result Sigmoidal utilized paCy, Docker, and TensorFlow among others. Everything is packed in a user-friendly front-end, which does not require any technical knowledge. Assets delivered by Sigmoidal:
✔️The automatically generated high-level report, allows managers to react to market behavior fast.
✔️Significantly augmented and automated the process, reducing the workload needed for research and analysis.
✔️Cloud-based ML system core, enhancing decision-making process by getting additional investment signals directly from users.
Sigmoidal’s solution enabled clients to make better-informed decisions concerning investment and asset allocation across their portfolio.
💻Full Case Study: https://sigmoidal.io/case-studies/baillie-gifford-ai-investment-management/

60% Time Reduction - Supplier Risk Assessment
SDI wanted to create a platform that would allow him to compare and choose suppliers, maintain them, then continuously assess and manage risk in a more informed manner. Sigmoidal enabled SDI halve the time spent on research and supplier selection. Engineers provided by Sigmoidal had leveraged a hybrid approach to reduce risk - the most complicated cases were automatically flagged for manual verification. Assets delivered by Sigmoidal:
✔️ Research and risk assessment was cut down from 5 hours to 3 hours a day.
✔️ Flexible system, choosing the most important factors of potential supplier (e.g. tariff and taxes, Geographic location, product price) for each specific scenario.
✔️ Platform, enabling client to compare much higher number of suppliers - helpful, non-obvious patterns can be found.
The solution allows our client to predict outcomes based on historical data, enabling him to make better-informed decisions.
💻 Full Case Study: https://sigmoidal.io/case-studies/machine-learning-supplier-selection/

AI-based System in eCommerce
Our client, a fairly new home decor eCommerce business, wanted to create a product recommendations engine to achieve better sales and make the buying process more convenient for its customers. Sigmoidals’ team of experienced Machine Learning specialists developed a system, based on an extensive predictive analysis methodology. Sigmoidal technique, while designing the recommender systems was an innovative mix of Collaborative filtering & Content-based filtering. Assets delivered by Sigmoidal:
✔️ Thanks to our individualized content, the client managed to achieve over 32% increase in CRR in Q1 2020 (compared with Q1 2019).
✔️ Sigmoidal new system resulted in Net Promoter Score increasing after implementation (as of Q1 2020).
✔️ After the implementation of Sigmoidal’s solution, customers, through engaging with product recommendations, had generated much higher revenue per visitor.
Sigmoidals’ new recommendations engine had reached the ultimate goal that resulted in retaining more customers and engaging them through individual recommendations.
💻 Full Case Study: https://sigmoidal.io/case-studies/ai-ecommerce/

300% rise in document processing rate
Sigmoidal automated Document Management System for the Cordoba municipality (Spain). Sigmoidal ML Engineers optimized the business processes for its staff and the citizens. Sigmoidal implemented the solution in three areas of document management: Classification and processing, Data extraction, Advanced Security. Assets delivered by Sigmoidal:
✔️ Security enhancement – automatically detecting and protecting sensitive information. Prevention from unauthorized access
✔️ Document processing up to 3x faster for selected cases.
✔️ The system allows to track errors more efficiently, preventing costly errors made by the staff.
Sigmoidal’s solution freed up the time of office workers and increased citizens' satisfaction, in addition greatly reducing the labor costs.
💻 Full Case Study: https://sigmoidal.io/case-studies/ai-document-management/

90% reduction in inquiry response times
For years, queries sent to finance departments had to be processed manually. This was extraordinarily time-consuming, extremely prone to human error, and often took employees away from more business-critical tasks. Our client, approached us to aid in the development of a tool that helps finance departments provide fast, reliable answers to the most common queries they receive.
✔️ Sigmoidals’ tool utilizes natural language classification (NLC) to assist in the data extraction process.
✔️Sigmoidals’ tool was able to identify when important information is missing, and quickly email a request to fill in the blanks when needed.
✔️ We utilized architecture for reproducible research to repeatedly analyze large, complex datasets, achieving impressive levels of accuracy.
Sigmoidals’ tool utilizes natural language classification (NLC) to assist in the data extraction process – providing relevant data points to a variety of finance-related questions. This ensures questions are always sent to the right person or department within a matter of minutes – not days.

92% accuracy in weapon detection
Weapon detection is challenging due to the various subtleties associated with it. The most important problems in weapon detection are self-occlusion and the similarities between objects and background structures. Self-occlusion occurs when a part of the gun is blocked on one side. The similarity between objects occurs when different objects such as hands and clothes look like weapons.
Our client needed a software solution that detects humans on a video stream in real-life which will be as lightweight as possible to be run on a low-cost, small device equipped with an Nvidia GPU.
✔️ We establish a proactive system, that enabled our client to pre-emptively alert the security immediately after detecting threatening objects
✔️ Due to the usage of VGGNet architecture, our client could detect and classify weapons in various images and real-time videos.
✔️ We performed metrics definition and monitoring to assess our model performance every step of the way. Our method consists of the calculating distance between predicted and baseline data.
The hardware capabilities of Nvidia Jetson made challenging to utilize Deep Learning’s full range of abilities. We managed to provide a performance-optimized, OpenCV-based algorithm that worked in real-time, with very low latency and with the required precision. To speed up computations, we’ve used the C++ OpenCV library in our Python code. The official Python version didn’t provide access to CUDA algorithms, so we created a dedicated library to provide appropriate bindings.

12% more accurate forecasts for Sales
Sales forecasting adds value across an organization. Finance, for example, relies on forecasts to develop budgets for capacity plans and hiring. Production uses sales forecasts to plan their cycles. Forecasts help sales ops with territory and quota planning, supply chain with material purchases and production capacity, and sales strategy with channel and partner strategies.
Our client, a giant from the pharmaceutical industry, challenged us to create a forecasting and analysis system, to accurately predict their sales and financial performance over dozens of countries they operate in.
✔️ Sigmoidals’ team engineered a new code structure, allowing to shorten model training time by 20%
✔️ Our object-oriented programming refined the organization of the software design around data.
✔️ We utilized among other Arima, Prophet, and ETS family for Forecasting Time Series forecasting to create a robust system
Sigmoidal solution aided our client to closely monitor and react upon market shifts across many countries, which resulted in higher revenue and improved supply chains with material purchases.

91% accuracy in answering medical questions
With the multitude of medical-related websites and portals, the quality and safety vary widely, and some users are reluctant to access mainstream sites. People are vulnerable to misinformation and exploitation: there is evidence that online medical-related unscientific articles have caused severe health issues among the population.
Our client, a highly innovative medical start-up, wanted to develop a platform, providing physicians, nurses, practitioners, and general personnel of hospitals with precise and validated medical data.
✔️ Sigmoidal delivered a market-ready platform designated for medical-related professionals, providing them with speedy access to information.
✔️ Our solution offered a unique and cost-effective discovery package for medical libraries, increasing our clients’ sales by roughly 3.2 mln in Q1 and Q2 2021 (compared with Q1 2020).
✔️ Sigmoidals’ platform puts authoritative and reliable scientific and health content at the disposal of professionals, effectively helping them be more informed and effective, with 91% answering specialized medical queries on average.
Sigmoidal came up with a very adaptable design, of a platform, with a live HTTP engine, that leveraged Natural language processing solutions. That was able to answer a wide range of medical queries.

Generating an 8% annualized return in Trading
Financial risk management systems specializing in specific assets are ill-equipped in analyzing complex, multi-asset class portfolios. Furthermore, many managers do not provide security-level transparency, rendering security-based solutions nonviable.
Our Client, a Singapore-based Hedge fund, wanted Sigmoidal to design and develop an intelligent asset allocation system.
✔️ We utilized the Blue-Green deployment method driving towards the ability to rapidly put software into production.
✔️ We used metrics definition and monitoring, which sets the gold standard for monitoring machine learning models and tracking accuracy in real-time. We expanded the model performance, adding a 3+ year lifespan of the product.
✔️ Sigmoidal employed the model-centric approach, developing experimental research to improve the machine learning model performance.
By leveraging the novel AI-based approaches, our client was able to create an investment strategy that generated an 8% annualized return, which was 23% higher than any other benchmark strategy tested over a two-year period.

15% Reduction - rate of credit risk management
Many potential borrowers look good on paper and are classified as creditworthy, but are in fact risky. This is because traditional methods can give credit to consumers who, e.g., have a large number of reward credit cards but sign for them to get bonuses (the so-called “card churners”), and are not, in fact, profitable for the issuer.
✔️ The credit scoring process has been sped up by more than 45% with fewer cases going to manual verification.
✔️ The system allowed our client to detect high-risk borrowers more effectively, reducing the default rate by almost 15%.
✔️ After each iteration, the client got a detailed performance report, so that he could regularly track insights and statistics.
The accuracy improvement in risk mitigation helped better assess risky borrowers, who look good at first sight, effectively increasing clients’ revenue.
Reviews
the project
Staff Augmentation for Real Estate company
"Their ability to switch expertise to match customer needs has stood out to me."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am the CEO of one of Germany's leading real estate companies.
For what projects/services did your company hire Sigmoidal?
We have been developing AI-based solutions to automatize our internal processes for a while now. In 2020 we started developing a system to help find buyers the perfect mortgage and suitable apartments. However, designing and development proved tedious and time-consuming for our internal team, so we started looking for a partner to help us speed up the process.
How did you select Sigmoidal and what were the deciding factors?
We found Sigmoidal while researching potential partners. They seemed to have the experience we needed, and we were impressed with their idea of Sigmoidal DNA and active engagement while cooperating with their previous clients. We scheduled a meeting with their representative, and after a few calls, we were positive about our cooperation.
They presented us with a comprehensive plan for the projects and a complete proposal for our partnership. It assured us that Sigmoidal would actively participate throughout the project and help us reach our ultimate goal. Shortly after that, we signed an agreement a started working together.
Describe the project in detail and walk through the stages of the project.
After our first few meetings, we set up a kick-off conference when our team met their Sigmoidal counterparts. Together with our project manager, they established a structure and communication channels as we advanced. Then Sigmoidal performed Event Storming, which enabled us to see future challenges and deal with possible issues before they manifested.
Sigmoidal shared their proprietary infrastructure and shared their expertise with our team. Knowledge sharing that Sigmoidal provides is what makes them a perfect partner. In the production stage, Sigmoidal team complemented ours in every way possible. They obtained and structured all the real estate data - land records, title documents, purchase price, and even mortgage liens.
In addition, sigmoidal performed data exploration, feature engineering, and predictive modeling as they delivered parts of the software. We ended up with a product currently used by our employees and is still evolving, with Sigmoidal help.
Describe the recruitment process in detail.
We worked with 4-6 machine learning specialists from Sigmoidal, depending on the stage of the project.
Can you share any outcomes from the engagement that demonstrate progress or success?
Software that we developed with sigmoidal utilizes Compass AI. It can evaluate the price of a property compared to other properties in the market, search for specific types of homes in ultra-specific locations, input desired square footage of indoor and outdoor spaces, and then get immediate alerts when something hits the market.
How effective was the workflow between your team and theirs?
Communication and time management is definitely one of Sigmoidals strengths. In any project with a tight timeline, there are often corners you have to cut at specific points of time. To do so, you have to identify them early enough to make the right decisions, and the Sigmoidal did this very well. Their communication is robust, which is essential when working with a contractor.
Their lead engineer communicates with our stakeholders and project manager, guaranteeing excellent results.
What did you find most impressive or unique about this company?
All of the engineers at Sigmoidal are very comfortable communicating through our internal channels and quickly adjust to our way of work. I am impressed by their willingness to apply new tools and technologies to work within the confines of our organization's existing setup. Their ability to switch expertise to match customer needs has stood out to me.
Their flexibility in both skill and scope to adapt to the customer's ever-changing needs.
Are there any areas for improvement or something they could have done differently?
They are absolute experts in the machine learning field. I do not see any areas they could improve upon.
the project
Staff Augmentation for Crypto Trading Platform
"Sigmoidal helped us develop a phenomenal product that will give us a competitive advantage for a long time."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am a Managing Partner of an innovative and fast-growing company specializing in blockchain technologies and cryptocurrency.
For what projects/services did your company hire Sigmoidal?
After our successful release of the blockchain token, we decided to expand our platform capabilities further. Soon we found out that our internal machine learning engineers could not develop all the desired functionalities within the deadlines. So we decided to reach out to companies specializing in that area. We wanted to expand the platform's functionalities and include an option to track and analyze different tokens, providing our customers with better investment opportunities.
How did you select this agency and what were the deciding factors?
We were doing well on the frontend part of the application, but soon we found out that our current team of data scientists, as good as they were, did not possess the expertise that we required to develop the functionalities that were needed. Our application is a complex system connecting deep learning components and other AI-based technologies. We reviewed many companies along the way, but their focus and dedication to machine learning were what got us to Sigmoidal. We scheduled a meeting and explained our vision for the project. At this point, Sigmoidal acquainted us with their experience and background in ML & Deep Learning technologies. You could immediately feel the professionalism and enormous understanding of the AI field. The deciding factor came down to Sigmoidal's unique ability to understand clients' products and genuinely apply their deep knowledge and technical expertise.
Describe the project in detail and walk through the stages of the project.
First, we arranged an online meeting. It was very efficient and quick but still intense. The representatives really understood our challenge and had a ton of ready-made, proven solutions. It took us several conversations to work out all the details, discuss our requirements and their responsibilities, and then we could all get to work. The ultimate goal was designing and developing an operational AI-driven safety audit with many functionalities. Next, we held extensive weekly meetings. Sigmoidal understood our deadlines and always delivered with the required quality and on time. We started working together in 2021, and our engagement is ongoing. The product we’re currently expanding with Sigmoidal is relatively new to the market. Sigmoidal has proven as a professional and experienced partner. We are thrilled to be working with them.
Describe the recruitment process in detail.
During the partnership with Sigmoidal, we have cooperated with 10 additional staff engineers on average, working simultaneously with our team on the project. The size of the team and the team members fluctuated based on the stage of the production process we were in.
Can you share any outcomes from the engagement that demonstrate progress or success?
We have a properly functioning platform for our customers with all the requested functionalities.
How effective was the workflow between your team and theirs?
The entire project went smoothly, and we were impressed by how well organized the Sigmoidal team is. They are very transparent and constantly shared with us all the project information. Sigmoidal team was a perfect match for our internal team. We could reach out to them anytime, and we always received an answer almost instantly. Their data scientists were very experienced and confident with what they were doing. We used the encrypted online chat and a Kanban-style list-making application, which allowed both teams to communicate effectively - not a single task was missed or overdue.
What did you find most impressive or unique about this company?
Their transparency and proactive approach. From a management perspective, they were cooperative, understanding, and responsive. All the questions they received from us were promptly answered. The Sigmoidal team is very well organized in the way that they work. Communication and procedures stood out to us, while a clear status and results are always available. Development quality and pace were outstanding, and overall we’re genuinely blown away by the quality of their services. Sigmoidal helped us develop a phenomenal product that will give us a competitive advantage for a long time.
Are there any areas for improvement or something they could have done differently?
Their performance is consistent, always demonstrating their exceptional professionalism and expertise.
the project
Custom Software Dev for Jewelry Seller
"Sigmoidal’s team had a fresh and modern approach."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am a CEO of a company that manufactures and sells through various online platforms silver and gold jewelry. We are located in Poland, founded back in the 1990s.
For what projects/services did your company hire Sigmoidal?
My company was going through a massive scaling process. We expanded our manufacturing capacities and online presence, resulting in more orders than ever coming through. Additionally, we signed a long-term contract to deliver jewelry with one of the biggest European retail companies.
We had our small internal team, about three developers. We were looking for a partner to help us develop an AI-based system to forecast our demand for raw materials like silver based on our sales results and analyze the best option for a supplier.
How did you select this agency and what were the deciding factors?
We found Sigmoidal through detailed online research. Many companies advertise themselves as experts in the AI field. Therefore, the challenge was to find a company that could potentially become our long-term partner. Another factor was discovering a company with genuine expertise in AI-based projects, and after our research, we concluded that Sigmoidals could be a perfect match for us.
Their proposal looked very promising. After an email exchange and a few online conversations, where their representative explained to us in detail their proposal, we started to work together.
Describe the project in detail and walk through the stages of the project.
Our collaboration began with two or three online meetings and email exchanges. Our conferences proved very useful, as our internal team did not have the experience needed for this kind of project. The conversations themselves were very concrete, to-the-point, and efficient. Michał from the sales team and Andrzej from the engineering team were well prepared and easily able to find a solution to our problem.
During our conversations, I learned about their past projects. They showed us how they could embed their infrastructure and pre-existing patterns into our solution, making the design and development process much faster. In the early stages of the project, their team synched up with our internal developers and thoroughly designed the action plan for the project, including deadlines, features, and all structures.
Then their team focused on the production stage to deliver a product that we could immediately utilize in our efforts to scale, sell and manufacture jewelry more efficiently without incurring unnecessary costs.
Describe the recruitment process in detail.
Sigmoidal provided us with 4 data scientists to extend our already existing team. Andrzej from sigmoidal took the initiative as the lead engineer/project manager.
Can you share any outcomes from the engagement that demonstrate progress or success?
Our level of service has definitely increased. Sigmoidal utilized data cleaning and data exploration to create a clear and functional database we could then use in further project stages.
In addition, their team performed a series of event storming sessions and Predictive Modeling, so the result was a great piece of software with a scalable architecture. Sigmoidal team had a fresh and modern approach, showing the ability to lead and engineer great features every step of the way.
The software we created proved to be crucial in the coming months. We significantly reduced the time spent on research and risk assessment of our suppliers. Sigmoidal gave us the ability to predict our demand for raw materials accurately. We avoided the unnecessary manufacturing of jewelry which resulted in lower operational costs.
How effective was the workflow between your team and theirs?
The collaboration was exemplary. I’m delighted with Sigmoidal. We had never used an outside company and were skeptical, however, Sigmoidal changed our perception. Sigmoidal data scientists were very engaged, proactive, and communicative, always displaying their high level of expertise.
We had a more comprehensive meeting every week, but they were in close contact with our internal team every day of the week. We were amazed by their level of expertise and ability to work in a cross-functional environment.
What did you find most impressive or unique about this company?
What separates Sigmoidal from other companies is that they had a clear and reliable plan for the project from the beginning. The amazing thing is that they immediately comprehended our market needs and were ready to suggest novelty technical solutions.
The sigmoidal team implemented technologies that perfectly matched our requirements, constantly coming up with valuable conclusions and ideas. Software sigmoidal delivered, defined our infrastructure for years to come, lowering our operational costs.
Are there any areas for improvement or something they could have done differently?
I’m delighted with Sigmoidal. No field for improvement that I see.
the project
Custom Software Development for AI Consulting Company
"It is truly impressive how fast they adapted their methodology, architecture, and infrastructure for our exact needs."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am a CTO of an innovative startup. Recently, we have been working with US-based companies struggling to adapt their solutions to new digital realities.
For what projects/services did your company hire Sigmoidal?
My company was hired by a US-based one, working in the retail sector and expanding their e-commerce presence. We were tasked with creating software to automatically extract, categorize, and process their customer reviews to reduce the number of unpopular products from the store and promote the favored ones. We were looking for a skilled team of data scientists to join our efforts, as the project and data involved proved too big for us to comprehend. In addition, we needed expertise and new solutions to deliver on our deadlines.
How did you select this vendor and what were the deciding factors?
I discovered Sigmoidal while searching for a company providing staff augmentation services. The search was challenging because many companies offer engineers starting from the frontend and going further to blockchain ones. This kind of solution was not working for us. What was unique for me in the Sigmoidal proposal was their focused and innovative approach to AI & ML. I’ve contacted a few of my colleagues working in the same area of interest and ended up receiving glowing recommendations on Sigmoidal previous work.
In addition, I’ve researched the information about Sigmoidal on my own and found that they possess the relevant experience to aid our efforts. We exchanged a few e-mails and scheduled a call to describe our challenge. I was simply impressed by the individual approach of Sigmoidal and how they immediately understood both our technical and business goals. Immediately they started suggesting new methods and technologies that we could leverage.
Describe the project in detail and walk through the stages of the project.
During the first two weeks, we had daily meetings, and the Sigmoidal team was able to comprehend our approach and prepare the entire project scope with financial and time estimates. Shortly after, we put Sigmoidal engineers alongside our in-house data scientists, trusting them to lead the project due to their previous experience. Their exceptionally experienced data scientists were able to adapt their infrastructure, taking our requirements into account and working them into the architecture they had created. Their efforts ended up in us completing the project much quicker, from an estimated 8 months to a little more than 6.
Moreover, they were always proactive, supplying us with the knowledge of state-of-the-art NLP models like BERT, RoBERTa. The result was great software capable of automatically extracting, categorizing, and processing customer reviews. It enabled our client to get extensive reports and manage their enormous base of thousands of products by advertising more popular products and removing or reducing the number of offers gaining bad reviews. Also, it can automatically generate vast reports containing data gathered on multiple products and examine their performance over a set period.
How many resources from the vendor's team worked with you, and what were their positions?
Our team worked with 5 Senior Data Scientists, one of them taking the lead role, and acting as the secondary project manager of the whole project.
Can you share any outcomes from the project that demonstrate progress or success?
Within the first month or so, we overcame our pre-existing technical issues, which enabled us to later implement the most recent technological solutions and extend our project’s scope, which ended up in our client providing us with a similar project shortly after.
How effective was the workflow between your team and theirs?
In my opinion, it was the most effective and tailored management style I had ever had a pleasure to experience. Sigmoidal engineers were always available, and the communication was done exceptionally fast. At all times, I knew exactly what was being worked on.
Our in-house engineers were impressed by Sigmoidal's ability to perform that efficiently on the project with a pre-existing team, all on a remote basis. Sigmoidal proved to be a fantastic partner, transparent about its progress, providing us with the existing architecture and expertise we needed. In the end, the crucial factor that enabled us to deliver was Sigmoidal.
What did you find most impressive or unique about this company?
It is truly impressive how fast they adapted their methodology, architecture, and infrastructure for our exact needs. Working in sprints pushed the progress forward at an extreme pace, and at the same time, they found the time to share their knowledge and experience with us. The communication was on point, and their additional input was always there.
Are there any areas for improvement or something they could have done differently?
No, I don’t think there is. I enjoyed every aspect of our cooperation.
the project
Staff Augmentation for AI Startup
"Their team was well-organized and comprised of true experts in such a niche field of deep learning."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am the CEO and founder of a startup focusing on custom AI solutions. We specialize in niche/innovative products, based on broadly defined AI technologies.
For what projects/services did your company hire Sigmoidal?
My company had recently acquired a new client - a prominent e-commerce company, based in Germany with a worldwide presence. They tasked us to development of a system, that would scrape free advertisements from other platforms, forums, websites etc. Ads that we collected were unstructured and written for native users in non-english speaking countries - Greece, Spain, Germany or Poland.
Our software had to extract main named entities from the advertisements, label it, and structure by standards provided by our client. In addition, our software had to have the ability to self-learn over time and provide our client with predictions and estimations concerning different products included in the advertisements.
How did you select this agency and what were the deciding factors?
The contract we had secured had proven to be more labor-intensive than we had anticipated, so we had to look for a company specialing in staff augmentation. I found Sigmoidal while researching US-based companies specializing in both staff augmentation and AI-based solutions. I scheduled a meeting with their account manager, we talked about possible work on their side, and he presented me with their case studies.
It turned out that they had already done similar projects, which have perfectly fit my expectations. They offered not only to aid in software development but also consulting services, which was a perfect solution for me.
Describe the project in detail and walk through the stages of the project.
During the first week or so, the Sigmoidal account manager provided me with their initial estimate and timeline for the project. During the subsequent talks, developers were also present - they showed me their vision of the project and gave many tips and ideas on the latest solutions and technologies.
After initial kick-off meetings with the engineering team from our side, they got to work at a rapid pace. In a matter of a few months their team, cooperating with our engineers were able to develop a proprietary AI-based engine, based on deep learning and natural language processing solutions. The end result was an innovative piece of technology, that could automatically scrape the advertisements, all in different languages, process them by converting and structuring in a matter expected by our clients.
Additionally, Sigmoidal team enabled us to develop some features meant for later phases, adding our software the ability to extract main entities, analyze them, and forecast data like pricing.
Describe the recruitment process in detail.
In total, we worked with five different people from Sigmoidal’s side. Sometimes more, depending on the project phase. Data Scientists provided to us were all at the Senior/Lead level. Additionally, they engaged an MLOps specialist to work in all software onto the production stage. All of them were highly qualified professionals, with expertise in Deep Learning.
Can you share any outcomes from the engagement that demonstrate progress or success?
I was thrilled with the solutions and the technologies utilized by Simoidal during this project. Because of them, we were able to finish the project about 1.5 months before the deadline and secured another contract with the same client, additionally being tasked with maintenance and future development of this one. Also, by finishing earlier than expected, my company received a hefty bonus, which in return allowed us to scale the company, and engage with more clients.
How effective was the workflow between your team and theirs?
We felt good about our collaboration. They were good people to work with, full of energy, creative, and proactive. Our team was always up to date with their progress, and the information was given to me immediately. We had weekly meetings, and separate channel on slack for more urgent cases. It was enjoyable, and you could feel the professionalism, so I was calm about every stage of the project, end result being finishing 1.5 months before our deadline.
What did you find most impressive or unique about this company?
Time was a crucial factor, and Sigmoidal delivered earlier then everyone, including our client expected. Their team was well-organized and comprised of true experts in such a niche field of deep learning. Also, I think that knowledge and substantive approach to the topic was my essential requirement when choosing a partner; Sigmoidal has mastered it at the highest level.
Are there any areas for improvement or something they could have done differently?
I think not. It's a pleasure to work with them. They are my first choice when it comes to Deep Learning-based projects.
the project
Custom Software Development for IT Staffing Agency
"What surprised me was their ability to adapt their methods to my ideas and work with my in-house developers."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am a COO and Co-Founder of an IT Staffing Agency. We are working with a number of clients providing them with candidates in different positions, ranging from back-end developers and going further into more niche ones like Deep Learning specialists.
For what projects/services did your company hire Sigmoidal?
My company had gone through a massive scaling process, and with a lot of new clients on board, we needed to automate some of our processes. Our main challenge to overcome was the amount of manual labor we had to do in order to pre-screen candidates and find the right insights/technologies they had on their CVs.
We came up with an idea to create a system that would automate the whole process by labeling desirable data, and flagging pieces of information that, we knew, were unacceptable by our clients.
How did you select this agency and what were the deciding factors?
I found them through a friend’s recommendation, we had a meeting where they presented me with their portfolio and relevant experience. We discussed the main points concerning the scope of work. Shortly after, we held another meeting, that also included their CTO, where they presented us with specific time and budget estimations. In addition, at this early stage, they had prepared the infrastructure, and architecture that would prove to be crucial during the development stage.
Describe the project in detail and walk through the stages of the project.
In the first weeks of the project duration, Sigmoidal, working closely with our in-house front-end engineers designed a cohesive roadmap for the development cycle. They explained to me their choice to build the solution using Natural Language Processing techniques, and Computer Vision technologies. We had weekly meetings, to stay on top of all processes.
Sigmoidal worked out a timeline for every feature, so we could be realistic on the release of the full-fledged platform. The end result was an application with a complex backend that converted the CVs into text and saved it onto a global database.
From there it labeled our desired points from the CVs, flagged the most concerning data, and provided us with a short report on every single candidate. Profiles of specific candidates that included some unresolved concerns were marked for the manual check, which reduced the possibility for an error while enabling a small amount of human work to improve the system.
What’s unique is that the system had the ability to learn over time, so we could re-apply it to the different recruitment processes, without much input from our side. All was packed into an easily accessible frontend, enabling our recruiter to work on it without any additional training.
Describe the recruitment process in detail.
Sigmoidal provided us with 4 Data Scientists, experts in NLP and Computer Vision. Three of them were at the senior/lead level, and one was a late mid engineer. All in all great mix of people with a fresh outlook on my case.
Can you share any outcomes from the engagement that demonstrate progress or success?
As of 2022, my business relies greatly on a platform developed in cooperation with Sigmoidal. After the application was launched, we finally had the ability to accommodate more clients. We were able to reduce the manual workload on the employees linked with pre-screening and the whole discovery process while focusing on interviewing the candidates, a system flagged as a fit for specific recruitment processes. All in all, by our estimates we were able to speed up the discovery process by about 30%.
How effective was the workflow between your team and theirs?
On my end, there was me and my front-end engineers. At first, our whole interaction was me communicating my vision for the platform to Sigmoidal’s team. They understood me perfectly, even helped me improve on my initial plan. They were able to work side by side, with my developers, and communicate their progress, so everyone included knew exactly where do we stand. We had weekly meetings, and a channel on slack. The whole process was very transparent, I knew exactly what part of the implementation is now underway.
What did you find most impressive or unique about this company?
People from Sigmoidal were great at their work, open for cooperation, creativity, and most of all, they have a lot of experience in the field, which they turned into amazing solutions. What surprised me was their ability to adapt their methods to my ideas and work with my in-house developers. They are very communicative and involved in the project from the beginning till the end. Their consistency in delivering high-quality results ensures a long-term partnership.
Are there any areas for improvement or something they could have done differently?
Not that I can think of. I am happy with their performance.
the project
Mobile App Dev for Healthcare Startup
"Their resourcefulness, ability to meet deadlines, and communication were impressive."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I’m a founder and CEO at Jutro Medical - primary care clinics powered by technology.
For what projects/services did your company hire Sigmoidal, and what were your goals?
Our goal was to build a mobile app in React Native for our clinic - both Android and iOS.
How did you select this vendor and what were the deciding factors?
I stumbled upon their website, while looking for advice on AI implementation in another project. It turned out that they provide a much wider range of services, including full-stack and mobile app development. We had three exploratory calls, then they prepared a detailed roadmap and proposal. I was really impressed with their professionalism and how they managed to explain everything in a simple manner. They used InVision for some design sessions, which was really helpful. These factors sealed the deal for me.
Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.
Sigmoidal prepared a detailed roadmap and outline of the project, which we accepted. We started with a few brainstorming sessions on Google Meet, where we discussed how we envision the app to look like. They suggested using InVision, which helped a lot, as we could see the design progress in real-time. The next phase was the development. They were concurrently working on Android and iOS versions. After each milestone of development, they invited us to a longer feedback session, where we could both share our thoughts. They finished the development ahead of schedule and left the last 2 weeks for minor changes. I really liked this approach.
How many resources from the vendor's team worked with you, and what were their positions?
Four employees from Sigmoidal worked with us. 1 Senior PM, 2 React developers, 1 UX designer.
Can you share any measurable outcomes of the project or general feedback about the deliverables?
We launched the updated version of the app a few weeks ago and have been collecting positive user feedback since then. So far, we have managed to get a 4.8 rating on the App Store.
Describe their project management style, including communication tools and timeliness.
We had two weekly meetings and received a detailed report every four weeks (with deliverables). In the last couple of weeks we managed to finally meet in person as the pandemic situation has gotten much better. The overall workflow was great.
What did you find most impressive or unique about this company?
The design is top-notch. Their resourcefulness, ability to meet deadlines, and communication were impressive.
Are there any areas for improvement or something they could have done differently?
The app looks and works great. I hope to work with Sigmoidal in the future.
the project
Web Dev & Design for Fashion Marketplace
"The business-focused approach was impressive."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I’m a Managing Partner & Founder at stwear.pl - a streetwear fashion marketplace startup, operating on the CEE market.
For what projects/services did your company hire Sigmoidal, and what were your goals?
We wanted to build a solid website for our marketplace, putting a strong focus on intelligent analytics. The main goal was to design the backend of the website in such a way that it could efficiently track the behavior of visitors, aggregating the data. We wanted to develop the backend of the website in such a way that it could easily work together with Ahrefs and Google Analytics later down the road.
How did you select this vendor and what were the deciding factors?
Sigmoidal is a brand I've known previously as it's pretty well known in the AI communities. I scheduled a call on Zoom, which went really well. I liked the estimates and business-focused approach.
Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.
Their team was responsible for both designing the website and the analytics engine, as well as the development. We started with a few days of workshops remotely on Zoom due to the pandemic. We established that the best way to move forward will be to work in 1-week sprints. After each sprint, we received a detailed report on the progress, suggestions for improvements. Apart from that, we had weekly calls on Mondays.
How many people from the vendor's team worked with you, and what were their positions?
We hired a team of 3 people in total (2 FTE). Full-Stack developer full-time, Senior AI engineer half-time, Project Manager half-time.
Can you share any measurable outcomes of the project or general feedback about the deliverables?
The project has just launched, yet we already acquired our first customers. With the custom-built analytics engine, we can easily get to know which products we should focus on more. As for the graphic design part - we wanted to go for an early 2000s’ style of the website and it was accomplished wonderfully.
Describe their project management style, including communication tools and timeliness.
The workflow was great. We had weekly calls on Mondays. We started the project from a few days of workshops, which helped a lot. We had a few ad-hoc sessions in the meantime. The availability of their team was great. They were responsive even in late evening hours.
What did you find most impressive or unique about this company?
The business-focused approach was impressive. Instead of asking “which CSS version should we use” and similar technical things, they started with “Ok, but why do you want to do this in the first place? What are your goals? Who will be your customers?”. We really liked it.
Are there any areas for improvement or something they could have done differently?
In hindsight, I think a few of our meetings were unnecessary - they could just send a few emails. Apart from that, they really did their job well.
the project
Recommendation System for Software Development Company
"Their outstanding technical skills and a good understanding of our business goals were impressive."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am the owner of a software development company, headquartered in Warsaw, Poland. We develop custom web and mobile apps. I am responsible for managing the team and handling the most important business relationships.
For what projects/services did your company hire Sigmoidal?
We had been developing a web application for one of our clients in the retail industry, who asked if we could add a recommendation system. As ML is not our main line of work, we hired Sigmoidal to help us with that challenge.
How did you select Sigmoidal and what were the deciding factors?
We wanted to hire somebody from our area and searched online for experienced ML engineers in Warsaw. I found the Sigmoidal profile and was happy to find out that it's run by people from Warsaw's University MIM faculty which guarantees great scientific skills. I scheduled a call thourgh their website through Calendly.
The call went well, so two of my engineers visited their office to discuss the details of the project.
Describe the project in detail and walk through the stages of the project.
After we signed the contract, we had a 3-day workshop to align on the priorities and discuss how we envision the recommendation system to look like. Sigmoidal showed an excellent understanding of the business side of the project. After the workshop, we had a few two-week sprints with different iterations of the solution. We've seen promising results soon after the project start.
The final accuracy of the recommendation system was around 85%, which we found great, considering the relatively short time of the project
How many resources from the Sigmoidal team worked with you, and what were their positions?
Two machine learning engineers. One senior and one mid-level.
Can you share any outcomes from the project that demonstrate progress or success?
Very good accuracy of the system (85%). Our client was very satisfied as well. They achieved a significant increase in sales after introducing the new web app.
How effective was the workflow between your team and theirs?
The workflow was great. We had daily standups and a demo after each sprint (every two weeks). We used emails and slack for communication and JIRA as an issue tracking system.
What did you find most impressive or unique about this company?
Their outstanding technical skills and a good understanding of our business goals were impressive. They had Impressive ML skills as well.
Are there any areas for improvement or something they could have done differently?
The project went really smooth, no major concerns.
the project
iOS Development and AI Stealth Project
“Sigmoidal built out a modern, user-friendly app that includes a complex backend and beautifully designed frontend.”
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I'm the CEO of Redbrick Partners. We build websites and apps for other companies.
What challenge were you trying to address with Sigmoidal?
We needed help building an app for iOS.
What was the scope of their involvement?
Sigmoidal built an iOS app that allows users to find unclaimed property throughout the U.S. The project was complex, requiring a backend built on Amazon Web Services (AWS). We provided designs of the frontend, but their team built it out and provided additional suggestions.
What is the team composition?
I worked with two to five people, depending on where we were with the project.
How did you come to work with Sigmoidal?
We posted our project online and Sigmoidal reached out to us. I was impressed by their team. They understood our problem well and presented candidates on their team I could choose from for the project.
What is the status of this engagement?
We've been working with them for about 16 months and they're working on a second project with us now.
What evidence can you share that demonstrates the impact of the engagement?
Sigmoidal built out a modern, user-friendly app that includes a complex backend and beautifully designed frontend. In addition to meeting our specs, they provided invaluable suggestions to help improve the end product.
How did Sigmoidal perform from a project management standpoint?
In addition to delivering the app on time and within budget, their team is consistently easy to work with. Responsive in communication, they're available to us both on Slack as well as through some shared agile project management tools.
What did you find most impressive about them?
They communicate well and are very honest. Even if they don't have the best news or they run into a challenge, they don't try to hide. They're real team members in that way.
Are there any areas they could improve?
No. I'd love to see their business grow, so they could provide additional resources for other projects that we might want to work with them on in the future.
Thanks to Sigmoidal's engagement, the client is able to develop a solution using Compass AI. The team's effective communication and time management have stood out in the partnership. They are flexible and adaptive to the internal team's adjustments, requests, and business needs.