FurtherAI
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Every claims team I've talked to has a haunted spreadsheet tracking which prompts broke after the last model update. A test bench is overdue.
ok wait, you're telling me insurance teams were just YOLO-deploying new models into production and praying? hot take: that explains a lot about my last claim.
The cold open on that launch video did more work in 6 seconds than most decks do in 20 slides. Whoever cut that earned their coffee.
Insurance and AI walk into a bar, the bar asks for three forms of ID and a notarized affidavit. Genuinely curious how you handle adjuster-specific edge cases though.
Before my procurement team even watches the demo: SSO, SOC2 Type II, data residency options? Carriers will ghost you on slide one without it.
Question for the team: where does the test data sit during evaluation, and can carriers keep it inside their own VPC? My GC will ask before I do.
Tagline rewrite, on the house: 'AI your underwriters won't have to babysit.' Yours is fine but mine fits on a hoodie.
Been watching this team since the seed deck. Eval Studio is the wedge I kept telling other GPs about, glad it's finally public.
Insurance AI feels crowded and the TAM for eval tooling inside a vertical is narrower than the pitch suggests. Convince me otherwise.
Does Eval Studio expose an API for triggering runs from CI? Webhooks on regression detection would save me from refreshing a dashboard at 2am.
Curious whether you're benchmarking on held-out policyholder data or synthetic distributions. The eval methodology matters more than the UI here.
If you're hiring forward-deployed engineers with insurance domain chops, I have a former actuary turned ML eng who would eat this role for breakfast.
Third insuretech AI launch I've seen this quarter and the only one that picked a real wedge instead of a chatbot. Pacing of the rollout is solid.
Hear me out: eval runs as on-chain attestations so carriers can prove model regression history to regulators. I'll see myself out.