Our AI platform gets your custom trained models into production within 30 days

Our in-house, standardised AI platform allow us to select, prepare, train, integrate and manage models to deliver the highest quality models quickly

Our subject matter experts pick the best starting model for the job, and then through an initial research process, we understand your data and your business model and our AI Platform rapidly gets you to a working business solution

The floating point AI platform brings together and optimises the 5 key stages of delivering an AI project to business


There are 40,000+ Open Source AI models and architectures with unique settings and parameters that can be applied to your business problem.

Floating Point platform enables fast iteration and testing of models to discover the best configuration for solving your specific use case.

The platform allows for repeatable and measurable experiments to determine the optimal solution for your business problem.

Matt Kidd, Senior Data Scientist, walks you through our process of selecting the correct models for your AI project
Leticia Fernandes, Senior Data Scientist, shows you how we prepare our models


During preparation, the Floating Point platform takes in your raw data sets and external data, transforming them into suitable formats for analysis and modeling.

  • Data Ingestion: We import the relevant data into the platform in the appropriate format
  • Data Processing: We understand the data to be able to put it into the correct format for training the models
  • Annotation: If necessary, we annotate the data to create a training data set for supervised learning


The Floating Point platform is both Model-agnostic and Cloud-agnostic, allowing us to choose the optimal infrastructure for your project.

We can monitor the current training process and review past experiments.

This approach enables us to replicate each step of the process, understand model improvement, and foster continuous innovation and iteration in training.

Dr Catarina Carvalho, Senior Data Scientist, explains our model training methodology
Diogo Ribeiro, Senior Machine Learning Software Engineer, walks through our model integration process


The Floating Point platform offers both Cloud and On-premise integration.

Cloud integrations are suitable for companies lacking experienced data engineers, while On-premise integrations cater to clients with specific data privacy and legal requirements.

Once we select the best model from the experiments, based on your agreed success metrics, then we promote it to production and integrate it. The platform is highly scalable, automatically adjusting to meet your business needs in high demand scenarios. This ensures fast and cost-effective model execution in production.


The Floating Point platform allows us to monitor and manage the AI solution after deployment and while it is in use in the real world. We are able to monitor for data drift over time and to check for any errors in the accuracy of our model over time.

Our dedicated support engineers can monitor, compare and prepare future versions of your model. We are able to monitor for data drift and to check for any errors in the accuracy of our model over time.

The platform enables close monitoring of usage, costs, and scalability aligned with your business needs. It ensures contracted uptime and a high level of service.

Dr Tom Heseltine, CTO, walks you through our process of selecting the correct models for your AI project

Even more features to speed up project delivery

Data investigation

Our Data Scientists use the Data Investigation tools to look for any biases or imbalances in your training data set


We when you train on the Forge you can just let experiments run without worrying about increasing Cloud costs. You get the benefit of cost control and improvement in quality due to the increased number of experiments you can run

Experiment Tracker

Experiment Tracker allows us to carry out many hundreds of different experiments with different data and models, to identify which model performs the best, before promoting it to production

Inference Watcher

Inference Watcher continuously monitors models in a live environment to ensure they are maintaining a high level of performance

Niche features to speed up project delivery

Deeper docs extracts features from your documents

Our Deeper Docs Deep Learning Models and Pipelines allow us to extract features from documents, at a previously unimagined scale. We can train our models on even small data sets, pulling data from PDF files. We can do this from any type of document - contracts, letters, agreements, Invoices and many more.

Deeper web extracts features from HTML

Deeper Web is our intelligent, machine-learning based web scraper that works on any webpage. Deeper Web allows us to extract features from URLS at scale. It comes with the ability to extract over 40 different entities out-of-the-box, including Address, Date, Author, Price, Email and many more.

Why choose Deeper Insights?


We are data science experts recognised globally with over 500+ citations and patents.

We specialise in Computational Linguistics, Natural Language Processing (NLP), Machine Learning, Deep Learning and Data Analytics.


We use the latest AI technology, tools and techniques to enable businesses to onboard data quickly and at scale and harness a variety of models and AI applications to gain fresh insights that support more informed decisions.


We work in partnership with our clients to ensure we find the best solution to solve their impossible problem and drive positive business outcomes that make a measurable impact on performance, innovation and efficiency.

A deeply trusted, expert partner

"This is ground breaking stuff.

It's never been done before and will change the category."

Smith & Nephew

"Deeper Insights have been an incredible AI and data science partner for us, picking up challenging work with ease and delivering innovative AI solutions with confidence."


Unstructured data insights on our blog

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Explore strategies for balancing privacy with AI and LLMs like ChatGPT. Learn about enterprise solutions, HIPAA compliance, Zero Data Retention, and the advantages of custom, locally-hosted AI models for optimal data security.

Contact us to start your AI journey today

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Skim it Ltd t/a Deeper Insights is a private limited company registered in England and Wales, registered number 8858281. A list of members is available for inspection at our registered office: Camburgh House, 27 New Dover Road, Canterbury, Kent, United Kingdom, CT1 3DN.