Award Winning ML & Data Science Consultancy

Bronze
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Skim is a London Based, award-winning Machine Learning, NLP and Data Science consultancy. Working with you to bring Artificial Intelligence and Automation to life in your business.

Our PhD Data Scientists and patented intelligent web scraper the Skim Engine, work together with you to accelerate the development of your products and innovation.

We provide a full lifecycle consultancy from the business case development to the AI deployment with managed services and further industrialisation of your AI.

 

Services:

 

- Exclusive AI Innovation Workshop: discover the benefits of AI in your organisation and your industry. At the end of the workshop you’ll take away an AI roadmap for current or future projects.

- Data Cleaning & Pre-Processing

- Data Aggregation (internal docs and external news or web data)

- Chatbot, and language model development

- Data Set Creation (incl Alternative Data)

- Data Extraction and Normalisation

- Custom Web scraping

- Custom Machine Learning model development

- Custom Natural Language Processing development (i.e. Classification)

 

Machine Learning Models include:

 

- Customer Segmentation & Profiling

- Churn Prediction

- Content or Product Recommendation

- Auto Lead Generation

- Price Optimisation

- Risk Analysis

- Supply Chain Risk Management

- Many more...

 

We work with clients ranging from large FTSE 100 Enterprise companies, all the way to SMB's and charities. We help you find value in your data through our Data Innovation Workshops, and will work with your IT teams to get the latest Data Innovation, and AI integrated within your organisation.

 

Contact us today to discuss your next big project.

 
$10,000+
 
$100 - $149 / hr
 
2 - 9
 Founded
2014
Show all +
London, United Kingdom
headquarters

Portfolio

Key clients: 

Enterprise, i.e. Jones Lang-Lassale 

SMB, i.e. Quant-Insight

Charity, i.e. Breast Cancer Care 

 

Reviews

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Chatbot Development for Data Analytics Company

"They did a good job originally of understanding our business and our requirements."

Quality: 
4.0
Schedule: 
4.0
Cost: 
4.0
Willing to refer: 
5.0
The Project
 
$10,000 to $49,999
 
Jan. 2018 - Mar. 2018
Project summary: 

Skim Technologies developed a web-based chatbot prototype for a data analytics company. The chatbot provides actionable investment analysis stemming from various user prompts regarding stocks and trading.

The Reviewer
 
United Kingdom
Product Manager, Data Analytics Company
 
Verified
The Review
Feedback summary: 

The delivered chatbot is functional yet limited and serves as a useful internal marketing tool to pursue new clients. Skim Technologies fulfilled all requirements, and further collaboration is planned to advance the product. The team communicated well and regularly displayed its expertise.

BACKGROUND

Introduce your business and what you do there.

I am a product manager at a data analytics company. We provide alternative data and metrics to analyze financial security. We use a unique process of analysis to determine what the main macro drivers are of any particular asset class.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Skim Technologies?

We hired Skim Technologies to develop an exploratory prototype of a chatbot that would allow our clients to receive actionable investment analysis quickly and efficiently.

SOLUTION

What was the scope of their involvement?

We relied on Skim Technologies to build a website chatbot that could be used to respond to three central interactions. We wanted the chatbot to serve users who wanted to learn more about a trade or a stock; users who, for example, thought that the price of oil was going up and wanted to know about the best expression of that trade; and users who wanted to know about the best opportunities on the market, which explores what stocks are currently over- or undervalued on our company’s radar.

To facilitate those interactions, we had to build a database of questions that would map to one of those requests. We had to come up with all of the different ways that users might ask what is essentially the same question. Further, users might refer to crude oil, for example, by any number of names. We had to build out that database as well to make it as user-friendly as possible.

What is the team composition?

I worked primarily with Jack (CEO, Skim Technologies) and a pair of coders and data scientists.

How did you come to work with Skim Technologies?

We met them through one of our partners that is involved in developing our platform API.

How much have you invested with them?

We’ve spent between $10,000–$40,000.

What is the status of this engagement?

We worked together from January–March 2018. The chatbot was an exploratory project that we have had to deprioritize in favor of our core products. Our ultimate goal is to build it out into an actual product eventually.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

Skim Technologies delivered a functional but limited chatbot that we use internally to show users, investors, and clients the power of our company in a unique way. The chatbot is not a product that we sell, but it has served us well as a marketing tool to this point. It’s sparked interest and has been a conversation starter for us when we’re pitching to clients. That chatbot is undoubtedly useful, but the real value for us will come down the line. It has huge potential.

How did Skim Technologies perform from a project management standpoint?

They fulfilled the brief and delivered exactly what we wanted. They were easy to work with—both through emails and face-to-face meetings.

What did you find most impressive about them?

We hired them for their expertise, and they delivered it.

Are there any areas they could improve?

No, nothing comes to mind. Overall, it was a productive experience. I believe that if we pick this project up again in the next few months, we’ll be speaking with them. They did a good job originally of understanding our business and our requirements.

Do you have any advice for potential customers?

As with any engagement, it’s critical to be clear about what the end goal is. We also found it valuable to have constant communication with the developers.

5.0
Overall Score
  • 4.0 Scheduling
    ON TIME / DEADLINES
  • 4.0 Cost
    Value / within estimates
  • 4.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Content Management System for Support Services Company

“We've been impressed with the quality of their work and their services.”

Quality: 
5.0
Schedule: 
5.0
Cost: 
n/a
Willing to refer: 
5.0
The Project
 
Confidential
 
May 2017 - Ongoing
Project summary: 

Skim Technologies helped build a CMS to find, aggregate, and publish relevant information on an application. The system is connected by API to a machine learning module. Their services are ongoing.

The Reviewer
 
201-500 Employees
 
London, UK
Content & Marketing Officer, Nonprofit
 
Verified
The Review
Feedback summary: 

Skim Technologies helped create a reliable CMS, and their machine learning module increased operational efficiency. As they continue to refine the system, the team remains communicative and responsive. They’re very receptive to feedback, quickly addressing any questions, concerns, or requests.

BACKGROUND

Introduce your business and what you do there.

I’m the content and marketing officer for an app which has been developed by a charity to support women after their hospital-based breast cancer treatment.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Skim Technologies?

As a charity, we know that finishing hospital-based treatment for breast cancer can be a very difficult time for many women. There’s an expectation that everything will go back to normal, but women often instead experience a decline in their emotional well-being. We created an application that provides tips, information, and inspiration on easy-to-use flashcards to help women adjust to their "new normal." Our content covers a variety of topics, ranging from symptoms and concerns to mindfulness and exercise.

Our internal content team was dedicating a lot of time to scanning forums, blog posts, and various healthcare websites for information to populate the app. To increase our efficiency, we decided to look for an outside vendor to help build a CMS for our platform.

SOLUTION

What was the scope of their involvement?

Skim Technologies helped us develop a CMS to find the right information for our app more efficiently. We can access it on any desktop, and it’s connected to the backend of the platform. It allows our content team to create diverse content and gather information from around the web.

The Skim Technologies team implemented an API that connects their machine learning model with the new CMS. The model consistently searches the internet for sources of information that are potentially relevant to our organization and pulls it into the CMS. Our internal team can view a summary of the content and either accept, reject, or hide each item. This scoring system helps Skim Technologies' machine learning model better understand the type of information we're looking for. As the model collects more data on the way we interact with the content, it will start aggregating more relevant information. Eventually, it will become a more automated process, minimizing the need for editing before publishing information on the platform. We’re still working with the Skim Technologies team to refine and enhance the process.

We're also working to personalize our content for each user, and Skim Technologies will help us collect data on different ways users interact with the information on the app. Based on that feedback, we’ll be able to provide each individual with content tailored specifically to their needs.

What is the team composition?

We have one direct point of contact who manages a team of data scientists.

How did you come to work with Skim Technologies?

Our digital innovation manager, who developed the app, was familiar with Skim Technologies and their service offering. She reached out to them when we were applying for a funding grant to make sure our project was sustainable over time.

What is the status of this engagement?

We started working with them in May 2017, and the project is ongoing.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

Skim Technologies continues to improve and refine the system. Over time, the content has become more and more relevant. They understand and properly address all of our feedback, which has been great. So far, we haven’t experienced any bugs or crashes, and if there’s a small glitch, it’s handled promptly. Overall, it’s been a smooth experience. We've been impressed with the quality of their work and their services.

​​How did Skim Technologies perform from a project management standpoint?

They’ve been excellent. We speak every two weeks, and everyone involved in the project attends. We discuss our status, and any progress updates or upcoming challenges. It’s been an interactive process, incorporating feedback in each step. In addition to those meetings, we track the project using Trello.

What did you find most impressive about them?

They’re professional in receiving feedback and responding to it quickly. Open and frequent communication has been key to our relationship.

Are there any areas they could improve?

No, I can’t think of anything.

Any advice for potential customers?

There needs to be an open dialogue regarding project goals. We identified our primary goal at the beginning—to find information quickly and efficiently for our content app, and alleviate some of the capacity demands on our internal team. By involving Skim Technologies in discussing long-term aims, they were able to help us identify solutions and structure the full scope of the project.

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • N/A Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer
Verification

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Verification Level
Bronze
VERIFIED
Business Entity
Status
Active
Jurisdiction of Formation
United Kingdom
ID
08858281
Date of Formation
Jan 23, 2014
Last Updated
Apr 18, 2019
Payment & Legal Filings
International Credit Risk Assessment
Very Low Risk
Last Updated
May 21, 2019
Client Reviews
VERIFIED CLIENT REVIEWS
2
OVERALL REVIEW RATING
5.0
Source
Clutch
LAST UPDATED
February 8, 2019