I’m Abhishek Suroiwal.
No ask today — I’d genuinely value your read. Let me show you.
of an underwriter’s time is spent on actual underwriting. The other 70% — 40% admin, 30% negotiation and sales support — disappears into assembling information across sources that don’t talk to each other. In a market that just wrote a record £57.9bn with £10.6bn profit.
UK commercial −8% (Q1 2026) · property-cat reinsurance −14.7% at 1.1.26 — the steepest since 2014.
Up from three flat years at 34.4% — acquisition costs (~22.6pts) structurally hard to cut.
On the day it announced record results, Lloyd’s sunset Blueprint Two — the market’s big-bang digitisation.
of global insurtech funding went to AI companies in Q1 2026 ($1.55B of $1.63B). Nobody yet owns London-market intelligence.
Ask it what you’d ask your sharpest analyst — a peril, a syndicate, a treaty structure, a market cycle, in plain English. A considered, referenced answer in seconds, not a research afternoon.
Every claim is sourced, and it goes quiet when the record won’t back one. The failure mode is “the evidence isn’t there” — never a confident guess. That is the line between this and a general-purpose model.
Mapping not just what was written, but how events, perils and responses connect — it can trace why a market moved, not only what changed.
Trusted, embedded — but articles and tables: no reasoning, no “who has appetite for this risk?”
Near-universal adoption — 21 of 31 Lloyd’s brokers on Whitespace — and by design they digitise process, not insight.
Well-funded proof of demand — but they automate intake, pricing and placement mechanics. “What should I price this at?” — not “where should I place it, and why?”
Already on desks — but on syndicate-level facts they guess, uncited. A confident wrong answer is worse than no answer.