Who you are contracting with

Two entities, and it is worth knowing which one your contract names before legal asks.

The structure

SnapLine is the submission intelligence product built and sold by GenAirate Technologies. GenAirate Technologies Ltd, a company registered in England and Wales and based in London, owns the SnapLine intellectual property. It licenses that IP to GenAirate Technologies Inc., a Delaware corporation based in Dallas, Texas, which is the entity US customers contract with.

GenAirate Technologies LtdThe UK company. It owns the SnapLine intellectual property and licenses it to the US entity.

GenAirate Technologies Inc.A Delaware C-Corp, with a US address in Dallas, Texas. US customers contract with this entity.

The arrangement is deliberate rather than historical: the IP sits in one place, US customers get a US counterparty, and neither of those facts has to be explained during a procurement cycle.

What SnapLine is, briefly

Broker submissions arrive as email, PDF, spreadsheet, scan and photograph. SnapLine reads them and produces one structured record, which an underwriter reviews before it is used. Open a field and you can see the document it came from. It covers new business, renewals, endorsements and coverholder bordereaux.

SnapLine was built inside Probitas, a Lloyd’s syndicate, against the submissions that syndicate receives day to day. The product assumes the workflow underwriters actually run because it was written in the middle of one.

That is a statement about where the work was done, not an endorsement. Probitas has not endorsed SnapLine and Lloyd’s has neither developed nor approved it. GenAirate owns and sells the product.

It is in production today at a US wholesale MGA, under a commercial contract, on live submissions. We do not name customers on the website.

The people you will actually deal with

There is no account layer and no hand-off after the sale. The engineers who build SnapLine are in the room when you are shown it, and they are the ones who answer when something does not work. Behind these six is a wider team of AI researchers, engineers, designers and insurance specialists across the UK and the US.

Yogesh Joshee
Founder and CEO
Works across product strategy and architecture. SnapLine was built outwards from the London market rather than adapted to it afterwards, which is a decision he made and lives with.
James Hurrion
Chief Technical Officer
An Oxford PhD who leads engineering and platform architecture. His work is production AI in regulated, document-heavy environments, which is a narrower and more awkward problem than AI in general.
Robbie Maycock
Chief Product Owner
Came from AXA XL. He shapes the product around how underwriting actually runs, from what lands in the inbox to the enrichments an underwriter will act on.
Adnan Labib
AI Developer
Conducting PhD research in AI at King's College London. He builds the extraction and enrichment engines that turn a broker's documents into a record someone can underwrite from.
Shravan Khunti
AI Engineer and Researcher
Built Atlas, and works on the submission pipeline where the problem is extraction that holds up and workflows that run the same way twice. He has a master’s in Data Science from NYU, studied under Professor Yann LeCun, and has research published at IEEE and ACM conferences.
Roman Gurung
Forward Deployed Engineer
Sits with client teams to configure and integrate SnapLine, with a working knowledge of the submission flow from inbox to bind.

Advisors

Two people who are not on the payroll and whose judgement shaped the product anyway: one from the underwriting side, one from the AI side.

Nick I'Anson
Underwriting
Fifty years underwriting in the Lloyd’s market, latterly Head of Direct and Facultative at Zurich. He worked on SnapLine early, and the rules that decide how a submission is read came out of that work — they are an underwriter’s judgements written down rather than a model’s inference.
Ashish Umre
AI and innovation
A PhD in AI and more than twenty years applying it inside large organisations. He ran AI and innovation at AXA XL, which he joined in 2017 when it was XL Catlin, and more recently set AI strategy at one of the world’s largest gaming companies. He advises on the part that decides whether an AI system survives in a regulated business, which is rarely the model.