Case Studies
With decades of experience across a wide range of industries and challenges, Veratai's consultants have achieved spectacular results with many companies, solving hard problems under tight constraints.
A Deep Research Agent for Underwriting
By developing a deep research agent, we allowed an international insurer to dramatically reduce the time to search for and collate risks — leaving underwriters to focus on analysis and shortening time-to-bind.
Clinical terminology translation for SNOMED International
In just 11 days, we helped SNOMED International prove that an AI agent could accurately translate precise clinical terms into native languages — paving the way to increase adoption worldwide.
"Veratai are a fabulous partner for us. Not only are they highly skilled and proficient at what they do, the thing that really sets them apart is their customer-centric approach. The care, thought and empathy that they put in to solution design and build means they always deliver efficiently, accurately and with great value and utility."
More of our work
Agentic AI Design Authority
We acted as a design authority for a major US-based pharmaceutical company, providing advice, guidance and design input to their agentic AI development programme.
Our experience and advice allowed the client to successfully deliver a number of agents into production, while utilising and up-skilling their existing technical team.
Insurance Matching
We helped a global re-insurer automate the matching of prospects to known corporate entities.
Our fuzzy matching system was capable of efficient "any-to-any" matching over datasets in excess of 100,000 records each.
The successful delivery of a standalone service allowed this customer to decommission a £50k/year product, resulting in a return on investment within 2 years.
Medical Entity Linking
We helped a multinational healthcare organisation execute a machine learning challenge to advance the state-of-the-art in medical entity linking.
The competition attracted over 500 participants; winning entries included the first use of Generative AI models in the field, and the post-competition analysis was published in the Journal of the American Medical Informatics Association. The project created what is now the largest publicly available dataset of clinical annotations.
Predicting Flight Times
We developed algorithms to enable airports in Europe and the USA to accurately predict the turn-around and departure times of aircraft.
The algorithms are used to enable more accurate scheduling and resource allocation, improving the rates of on-time departures.
Revenue Management
We worked with a global ticketing platform to develop a pricing, forecasting and reporting system to optimise revenues and yields.
The result was a bespoke analytical capability to which the client has attributed a 3% revenue uplift annually.
AI Strategy
Our client sought to understand how AI technologies could increase the adoption, integration and value delivered by their market-leading data product.
We integrated findings from staff, customer and ecosystem interviews with deep industry knowledge and AI-specific research to develop structured roadmaps and benefits cases for the high-impact themes we identified.
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