Award Winning AI & Data Science Consultancy

Bronze
VERIFIED

Deeper Insights is a London Based, award-winning Machine Learning, NLP and Data Science consultancy. Working with you to find insights within data that lead to bolder decisions.

Our PhD Data Scientists and patented intelligent web crawler the Skim Engine, work together with you to accelerate your AI development and insights discovery.

Our suite of AI models and data visualisation dashboards enable you to rapidly discover new insights and share these with your colleagues or clients in a professional manner.

Types of projects we've worked on:

* Chatbot development
* Content Recommendation engine
* Pattern recognition in Big Data
* Prediction models
* Topic Network models
* Knowledge Graph development
* Semantic Role Labelling
* Much more... 

We also offer Data Science Consultancy Services. 

Our Data Science Consultancy services will help you understand, prototype and deploy at scale your data and AI projects. 

Initially, solving data problems with an AI Feasibility Study that sets a roadmap for AI and Insights in your organisation. Which then leads on to custom AI development by our professional team of ML engineers, MLOps and Data Scientists.

We work with clients from charities through to FTSE 100 clients. No project is too small.

Get in touch via [email protected] Or visit our website www.deeperinsights.com

 

 
$10,000+
 
$50 - $99 / hr
 
2 - 9
 Founded
2014
Show all +
London, United Kingdom
headquarters
other locations
  • R. de Cândido dos Reis 81
    Porto, Porto 4050-152
    Portugal

Focus

Service lines
  • Artificial Intelligence
  • BI & Big Data Consulting & SI
  • Market Research
Client focus
  • Midmarket ($10M - $1B)
  • Small business (<$10M)
  • Enterprise (>$1B)
Industry focus
  • Financial services
  • Health Care & Medical
  • Advertising & marketing
Programming & scripting
BI & big data focus
BI & big data solutions
Artificial Intelligence Focus
Market Research Focus
Business Consulting Focus

Portfolio

Key clients: 

Jones Lang-Lasalle, Deloitte, Breast Cancer Now, IAC, Muscular Dystrophy UK

Work with Deeper Insights to do more with your data Image

Work with Deeper Insights to do more with your data

Deeper Insights use a suite of AI models, their PhD data experts, and beautiful data visualisation dashboards to turn more of your data into insights that lead to bolder decisions.

Reviews

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Data Forecasting for Artists' Rights Management Group

"They quickly developed the requisite knowledge about our industry and internal processes."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
May 2019 - Jan. 2020
Project summary: 

Skim Technologies provided automated tracking and forecasting for a large number of transactions in a machine learning solution. The data helped to sourced potential leads in order to increase revenue growth. 

The Reviewer
 
51-200 Employees
 
London, United Kingdom
Ade Awonaike
Head of Data, DACS
 
Verified
The Review
Feedback summary: 

Skim Technologies has enabled to organization to leverage AI capabilities and improve internal processes. Their team led all project management and had frequent meetings with stakeholders. Skim Technologies is brilliant, knowledgeable, and quick to response. 

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

I am Head of Data at DACS. An organisation established by artists for artists, DACS is a not-for-profit visual artists’ rights management organisation. The organisation is passionate about transforming the financial landscape for visual artists through innovative new products and services, and act as a trusted broker for 100,000 artists worldwide. Founded over 30 years ago, DACS is a flagship organisation that campaigns for artists’ rights, championing their sustained and vital contribution to the creative economy. We collect and distribute royalties to visual artists and their estates through Payback, Artist's Resale Right, Copyright Licensing and Artimage. Since we were founded in 1984, we have paid over £100 million in royalties to artists and their estates – a significant source of income supporting artists’ livelihoods, their practice and legacy. In 2018, we paid £18 million in royalties to artists and estates.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Skim Technologies?

Keeping a track of the volume of transactions made on artwork produced by artist we represent (members) and those that are not yet representing is a process that has been delivered manually for years. This process is used to forecast qualifying sales based on a range of metrics and also audit the information provided by auction houses and other Art Market Professionals. Skim Technologies was engaged to create a Machine Learning solution that automates this process end-to-end.

What were your goals for this project?

Valuable time invested in sourcing forecast information for ARR qualifying sales from various websites will no longer be required. ​ Generation of potential leads to boost recruitment drive and ultimately increase revenue growth.​

SOLUTION

How did you select this vendor?

Skim Technologies was engaged on the project following on from referrals

Describe the project and the services they provided in detail.

The solution/tool comprise of Machine Learning models, Databases, Modelling APIs, Visualisation with Power BI and a third-party product (Prodigy) used for active/supervised learning​ Fully automated workflow with AI comprising of an ensemble of several models performing a range of tasks​ The models are currently being trained through supervised machine learning with outputs generated every 24 hours​ With the completion of phase 2, the question on the hosting location is yet to be confirmed however, the recommendation is that DACS subscribes to the hosting service provided by the developer as this will be more cost effective plus there are no in-house capabilities to maintain the solution.

What was the team composition?

1 x Project Lead 2 x Data Scientists 1 x DevOps

RESULTS & FEEDBACK

Can you share any information that demonstrates the impact that this project has had on your business?

DACS is now leveraging on Artificial Intelligence capabilities to improve internal processes for ARR forecasting and increase revenue generation capacity.​

How was project management arranged and how effective was it?

Skim Technologies led on the management of the project with frequent and ad-hoc engagements with stakeholders at DACS

What did you find most impressive about this company?

Apart from the fact the Skim Technologies team are absolutely brilliant and knowledgeable in their space, they quickly developed the requisite knowledge about our industry and internal processes.

Are there any areas for improvement?

No. 

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

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.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

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.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

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
Business Entity Name
Skim It Ltd
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

Per our methodology, the International Credit Risk Assessment rating is determined by our analysis of a credit report and third-party data.

Very Low Risk
Last Updated
Jul 29, 2019
Client Reviews
VERIFIED CLIENT REVIEWS
3
OVERALL REVIEW RATING
5.0
Source
Clutch
LAST UPDATED
March 30, 2020