Screen every deck through your thesis, evidence-backed, in minutes.
You deeply read maybe ten of the decks that reach you each month. KRTR runs every one through your own calibrated lens in minutes and gives you the score, the gaps, and the open concerns. Every claim is sourced and checked against live evidence rather than guessed by a model. Scientists built it and benchmarked it.
New to KRTR? There's no setup. Forwarding a deck signs you up automatically, and your report lands right back in your inbox. Prefer to start inside the app? Sign up manually.
We ran six now-famous seed decks through the exact pipeline that screens your inbox. The gaps KRTR flagged became each company's real story.
Start at screening. KRTR grows with the deal.
The same agent-operable system carries a deal all the way from the first cold read to portfolio. Adopt as much of it as you want, whenever you want.
Screen
Every inbound deck triaged through your own lens the moment it lands.
Pre-diligence
Evidence-backed scoring, gaps, and concerns in minutes — sourced, not guessed.
Funnel
Move deals through your own stages, with dispositions and tags that stick.
Deal vault
A private, never-indexed workspace per deal — notes, datarooms, and a running timeline.
Portfolio
Track marks, rounds, and returns across your funds once a deal closes.
This isn't AI bolted onto a CRM. KRTR was built agent-first from the start, so every operation is a typed, agent-callable verb sitting behind an open protocol. A legacy diligence tool can't reach that by adding a feature; it would have to be rebuilt. And the intelligence compounds: every deck the network screens sharpens the next read, the kind of lead a competitor can't ship in a quarter.
Why you can trust the number
An AI score is only useful if you can stand behind it in front of your partners. KRTR is built so you can.
Built and benchmarked by scientists
The scoring rubric is proprietary and calibrated per industry by the scientists who built it. That's why a biotech 78 and a SaaS 78 sit at the same peer-relative position instead of meaning two different things.
Grounded, sourced, auditable
Every claim carries its own provenance and gets checked against live evidence. When two sources disagree, KRTR shows you the disagreement instead of smoothing it into one confident-sounding answer.
A diligence engine, not a prompt
Each report is dozens of typed agent passes over a living claim ledger, with an AI Reviewer that corrects whatever the evidence contradicts. It's a lot more than one model's opinion.
Run it without opening the dashboard.
Every screen, score, disposition, vault note, and portfolio mark is agent-callable. Point Claude, Cursor, or your own agents at KRTR and run the whole deal — from the first cold read to the portfolio review — without living in the dashboard.
Batch-screen against your thesis
Drop 50 decks, set your criteria once, and get every one triaged through your lens in a single pass.
Threshold alerts
Have your agent flag every deal that clears your bar, say a 7.5 on resilience, and ignore the rest.
Act across the lifecycle
Set dispositions, drop deal-vault notes, move funnel stages, and log portfolio marks — all without leaving the tool you're already in.
Bridge your deal tools
No native CRM lock-in. Your agent can pull from KRTR and push into whatever pipeline you already run.
Your deals stay yours. An agent acts through your own authenticated access. Your pipeline and deal vault stay private to you, never indexed, and never visible to other investors on the network.
Every operation, agent-callable via MCP
The problem
200+ decks a month
You deeply read maybe 5 to 10. The rest get a gut-check pass, and you know some of them deserved better.
AI-polished noise
Every deck reads beautifully now. Telling real signal from generated polish eats the hours you don't have.
Depth doesn't scale
Real diligence is artisanal: weeks per deal. Partner attention is the scarcest thing you've got.
The best deals hide
Your next 10x is sitting in the cold pile you never opened, buried under everything that looked the same.
Why KRTR is different
Screen every deal through your lens
Every inbound deck is filtered through your own calibrated lens the moment it arrives. You get evidence-backed scoring, gaps, and concerns before you decide whether it earns a deeper look.
Meet your inbox where it already is
Most decks already reach you by email. Forward one to KRTR and get an assessment back, without a new upload step or any change to how deals reach you.
Go deep only when it matters
Broad research, VC-style valuation, patent search, and market intelligence on demand, pulled in to sharpen the analysis on the deals that earn it.
Intelligence that compounds
The signals you leave behind doing normal diligence feed a shared memory every future read draws on. The more the network screens, the sharper every analysis gets.
The lowest-friction onramp in venture
No new tool to learn. The value attaches to decks you were already going to receive.
Forward a deck
Send any pitch you've received to pitch@analyze.krtr.ai. That's the whole onramp.
AI runs pre-diligence
KRTR runs the full Assess Report in 5 to 10 minutes, through the same pipeline as any other pitch. You get scores, gaps, concerns, valuation, and a market read.
Triage in your funnel
The deal lands ready to triage. Screen it, set a disposition, and pull deep-diligence reports only on the deals worth it.
Try it on the next deck that hits your inbox.
Forward it to KRTR and read the pre-diligence before your first call. No account required to start.