DataMix

Country:

UK

Category:

SaaS

Technologies:

Python, Celery, WebSocket, JavaScript, React, Redux, Next, WebPack, SCSS, AWS

Field:

Non-financial Reporting

Business Case:

International companies submit many reports annually, both financial and non-financial. One of such reports is the GRI Standard Reports that align with SDGs. It shows how this or that company affects the environment, contributes to the development of society, etc. Dozens of people are involved in writing this report. They are forced to write their parts of the report using their working machines, send them by mail or messenger and then compile them into one, analyze its integrity, edit, send them by mail again...

Our system allows all involved employees to work from one interface, to improve communication between colleagues, as communication occurs directly in the application, as well as - to work on the report simultaneously creating texts, charts, upload media to the report, build pages and design the final report before being exported.

The result is reduced resources, money, and time to complete an important task. The system is very flexible and customizable and turns report writing into a structured and enjoyable activity. 

Country:

US

Category:

CMS

Technologies:

PHP, RabbitMQ, Redis, MySQL, NodeJS, JavaScript, React, Redux, Fuse, WebPack, SCSS

Field:

Landings, Automated Publishing

Business Case:

Automation of processes and repetitive actions may be a good case when you talk about your marketing and promotion with the help of IT tools. Our client had to work with a large number of landing pages according to the approved marketing strategy. They have also decided that they want to make custom landing pages for each campaign. That meant constant work with programmers and designers, large budgets, and a lot of time spent on communication and launch. Our team proposed to create a tool that would use the already developed elements as well as to take the most successful landings in terms of conversion as a basis. As a result, the process of launching marketing campaigns was accelerated by three times and the budget decreased by 50%

A good landing page builder software will help you create effective, easy landing pages to increase your conversions. It allows you to choose from templates that have already been tested and are effective in converting with a variety of types of landing pages. It is applicable to any business. 

Country:

US

Category:

SaaS

Technologies:

PHP, Python, Go, RabbitMQ, Google Analytics API, Google Ads API, MySQL, JavaScript, React, Redux, WebPack, SCSS, Kubernetes, Redis, Docker

Field:

Digital Marketing

Business Case:

If you are running a small or medium business then you know that it is a high-competitive environment and it is challenging to find new customers. Word of mouth works, your classic advertisement may also work, but nowadays the role of digital promotion grows very fast. It is hard to understand which marketing channels are the best for you and which of them are actually ROI positive. As a businessman, you may address an agency that is quite expensive or a freelancer that is sometimes not that reliable as you would like. Neptune Solutions is the third way. It helps to choose the best channels for your specific industry and has quite an intuitive interface to handle your marketing budgets and to convert them to real orders.  

The system provides technical audit and automated digital marketing services based on an exclusive algorithm and a custom-written block of audit and analysis and for additional data integration with Google API and Facebook API services. The system operates on big data for providing optimization and forecasts using artificial neural networks.

Country:

UA, UK

Category:

SaaS

Technologies:

Python, PHP, RabbitMQ, Redis, PostgreSQL, JavaScript, React, Redux, WebPack, SCSS, WebSocket, Docker

Field:

Consultancy

Business Case:

The world of the gig economy keeps moving forward and you need to adjust your business to its needs. If your company needs a professional in the concrete sphere for a limited time then you need to address a consultant. Classic consulting agencies have quite impressive hour rates and usually, work with established businesses and aim to cover strategic aspects of the business. Other companies, founders, and CEOs have to use word of mouth, social networking, etc. Sometimes businesses do not want to get ahead of the story or want to publish all details only when all documents are signed off, so it is hard to find the right people. We have decided to solve this puzzle and created Canary Consulting MVP, a SaaS platform that connects knowledge with proper business cases to be solved.  

Also, this tool helps professionals to find relevant opportunities for their expertise, combine it with existing work, or gives a chance to work from anywhere on a project basis as an industry consulting leader.  

Country:

UK

Category:

Artificial Intelligence

Technologies:

Python, PyTorch, NLP (gensim, spacy, NLTK, transformers), PHP, Symfony, RabbitMQ, Selenium, MySQL, Elasticsearch, JavaScript, React, Redux, WebPack, SCSS, WebSocket

Field:

Fake Detection

Business Case:

The project investor wanted to create a tool to detect fake news campaigns.  The main task was to detect and group a large number of news on the same topic, from different sources. The next stage was to make an analysis of them with the help of artificial intelligence tools on the probability of this or that news in the group being fake.  

Our team took part in the project as a partner and helped to determine the parameters of the model itself, as well as help to identify ways to monetize the service and possible directions for the development of the product in the future.

Country:

UA

Category:

Artificial Intelligence

Technologies:

Python, TensorFlow, PostgreSQL, JavaScript, React, Redux, WebPack, SCSS, WebSocket, AWS

Field:

Objects Detection

Business Case:

Our client was an insurance company that works in a highly competitive market. Pricing, services packages are quite similar in the industry and their challenge was to diversify themselves with the help of technologies. In this case with the help of Machine Learning. We analyzed their services by revenue and quantity of customers. Also, we needed to understand which service grows faster than another one, so we could understand where the company generates most of its new revenue. As a result, it was car insurance. We helped to program a machine learning visual recognition system that scans documents (that are needed to take out insurance) via an image to parse all needed information. It has saved a lot of time for their customers and created a competitive advantage for a brand.