Vetrn is a thesis-aware intelligence layer for Seed to Series B VC funds. 40–50 specialised AI agents run deep company and sector analysis automatically — so your team spends time on conviction, not research.
From conversations with active investors, three capabilities stand out as genuinely changing how early-stage funds operate.
Founders submit decks to Vetrn directly. The matching engine benchmarks each startup against your fund's thesis — stage, sector, check size, strategic focus — and surfaces only the relevant ones in your dashboard, pre-loaded with full intelligence. High signal. Zero cold outreach noise.
Vedi and Vetra each deploy 40–50 agents with distinct skills and roles — market sizing, founder validation, competitive mapping, risk profiling, regulatory signals and more — all orchestrated automatically. The depth that used to take days now arrives before your next call.
Deck, data room, meeting transcripts, research reports, analyst notes — all unified under a persistent deal memory layer powered by Vetrn Memory. Nothing gets lost between calls. Ask anything about a deal at any point. The intelligence compounds as you go deeper.
Vetrn is built for fund analysts and partners at Seed to Series B firms who need institutional-grade research output without institutional-size teams.
Upload your deck once. Vetrn matches your startup to funds whose thesis aligns with your stage, sector, and model — and surfaces you directly in their active deal pipeline, with full context already prepared.
Small teams. Hundreds of inbound deals. Inconsistent research depth. Critical signals buried in PDFs and call notes. Vetrn is built to fix all of it.
Analysts spend hours on decks that don't fit thesis — time that should go toward conviction-building on the deals that actually matter.
Research depth depends on who's running it. Senior hires are expensive. Training takes time. Institutional rigour shouldn't be a function of seniority or bandwidth.
Deck insights, call notes, data room documents, sector research — scattered across tools and inboxes. No unified view when it matters most at IC.
Without real-time support, analysts miss follow-ups, let unverified claims pass, and leave calls with gaps rather than structured intelligence.
There's rarely time to independently verify market dynamics beyond a founder's narrative. That gap shows up in blind spots and missed signals.
Pulling together investment memos is a manual, time-consuming process — especially when research is unstructured and scattered across team members.
When you trigger a Vedi or Vetra analysis, an orchestrator agent deploys 40–50 specialised agents — each with a distinct role and skill set — to conduct deep, structured research simultaneously across every relevant dimension of the deal.
Founder credibility, competitive density, unit economics, regulatory signals, exit environments — every dimension gets a dedicated specialist. The orchestrator synthesises findings into a single institutional-grade output. Fully automated, start to finish. No manual coordination. No gaps.
Vedi deploys a coordinated swarm of specialised agents to perform deep company-level research — going far beyond anything in the pitch deck. Every finding is verified. Every claim is cross-validated across sources.
Vetra runs independently from company analysis — by design. Separating sector intelligence from company intelligence ensures you evaluate the startup against market reality, not the narrative in the deck.
Every fund focuses on different dimensions of research. Vetrn lets you configure which agents are active, their priorities, and their research depth — so the intelligence output reflects your firm's specific analytical framework, not a generic template.
Powered by Vetrn Memory — persistent memory at both the deal level and the organisation level. Nothing gets lost. Every interaction makes the intelligence richer.
From the first deck upload to the final IC discussion, every piece of information about a deal is integrated into a persistent, queryable intelligence layer. Ask anything. Get answers with complete context.
Vetrn builds institutional knowledge at the firm level — patterns across deals, sectors, and founders that accumulate over time and inform sharper decisions at every stage.
Most tools have context amnesia. Every new call, every new document, every new analyst starts from scratch. Vetrn Memory means the system always knows what's been surfaced, what's been verified, what's still open — and every answer it gives you is grounded in the full picture of the deal.
Vetrn integrates into your existing process. No workflow overhaul. No new stack. Structured intelligence layered on top of what you already do.
Vetrn structurally analyses your thesis — sectors, stages, check sizes, geography, strategic constraints — and builds an internal benchmarking layer. Every deal evaluated against your specific mandate.
Upload any deck. Vetrn parses it, extracts signals across team, traction, market, moat, and GTM — and instantly scores thesis fit: Strong, Partial, or Weak. With explicit reasoning and analyst-ready clarifying questions.
Launch Vedi for company intelligence and Vetra for sector intelligence. 40–50 specialised agents run on each — orchestrated automatically — and deliver structured, sourced outputs.
Upload financials, cap tables, legal docs, and contracts. Everything integrates into the deal intelligence layer via Vetrn Memory. Every document becomes queryable through the AI deal chat — with full context.
The Meeting Copilot delivers real-time follow-up prompts, flags unverified claims, and detects narrative inconsistencies during the call. Post-call summaries and open research checklists are auto-generated.
Export structured, citation-backed investment memos. Share deal intelligence across your team. Move from first look to informed conviction — with a full audit trail of what was verified and what remains open.
Vetrn is modular by design. Each capability solves a distinct pain point in the deal evaluation workflow.
Every deal benchmarked against your fund's specific mandate — not a generic framework. Thesis fit is explicit, reasoned, and analyst-ready from the moment a deck is uploaded.
Transform founder calls from open-ended conversations into structured intelligence sessions. The Copilot draws on everything Vetrn already knows about the deal to surface the right questions at the right moment.
All materials — decks, financials, legal docs, contracts, transcripts — centralised in a structured deal hub with Vetrn Memory-powered persistent memory. Query anything, instantly, with full context intact.
Founders upload decks directly to Vetrn. The matching engine scores each startup against your thesis and surfaces high-fit deals in your Recommended Deals dashboard — pre-loaded with Vedi and Vetra intelligence, ready to evaluate.
Structured report exports formatted for investment committee use. Not raw AI output — organised, cited, and ready to share the moment you need them.
Multiple analysts working the same deal, seeing the same intelligence, contributing to the same knowledge base. Consistent research quality across your entire team — regardless of seniority.
There's no shortage of AI tools that summarise pitch decks. Vetrn is different in what it actually does — and what it never does.
Your fund's thesis isn't a filter — it's the intelligence layer. Every evaluation, every score, every recommendation is benchmarked against your specific mandate. Not a template. Yours.
40–50 specialised agents with distinct roles run simultaneously on every analysis. The output resembles an institutional investment memo — because that's what it's designed to produce.
Vetrn Memory ensures every answer, every insight, every recommendation is grounded in the full picture of the deal — from first look to IC, and across your entire portfolio over time.
A two-person analyst team can evaluate the volume and depth that used to require five. Lean funds can now operate with the rigour of much larger platforms — without the overhead.
Research depth shouldn't depend on who picked up the deal that week. Vetrn standardises quality — so every deal is evaluated at the same institutional standard, every time.
Vetrn enhances analyst capabilities and sharpens partner judgment. You make the call. Vetrn makes sure you have everything you need to make it well.
The best investors don't lose deals because they lack judgment — they lose them when the right information takes too long to arrive, arrives in the wrong format, or never gets verified at all.
Vetrn is built on the belief that intelligence infrastructure should do the heavy lifting so that venture judgment can do what it does best: pattern recognition, founder conviction, and thesis discipline.
Verifier loops and multi-model cross-validation are built into every research workflow. Unverified claims are flagged — not glossed over.
Market analysis runs separately from company analysis. That separation ensures you're evaluating a startup against market reality — not just the narrative in the deck.
Vetrn Memory-powered persistent memory means every insight is grounded in the full picture of the deal — from the first document uploaded to the final IC discussion.
Vetrn doesn't require a new operating model. It integrates into the way your team already works and makes every step of it sharper.
See Vetrn in action on a live deal. We'll walk through thesis benchmarking, a 40–50 agent analysis run, and IC-ready outputs — in real time.