Built at Yale, Velites deploys specialized AI agents to screen and score every pitch deck against your fund's criteria — delivering structured, explainable evaluations so your team can focus on conviction and decision quality.
Strong execution team with prior FinTech exit. API-first workflow creates compelling differentiation for underserved SMB finance teams...
For funds evaluating 50+ deals a year, the traditional approach creates an unacceptable trade-off between speed and rigor.
Analysts spend 3–5 hours per deal reading decks, researching founders, and writing summaries — before a single partner reviews anything.
Every reviewer brings different heuristics. Without a structured framework, the same deck can score differently depending on who reads it and when.
At high volume, early-stage signals get missed. Manual screening at scale means relying on first impressions and gut feel.
Evaluation notes live in spreadsheets and emails. Hard to learn from past decisions, calibrate scoring, or onboard new team members.
A structured, repeatable process that applies your fund's judgment at scale.
Multi-Agent Pipeline
Define your fund's evaluation criteria, weights, and priorities. Import from a scoring guide or build from scratch. Velites adapts to your thesis — not the other way around.
Drop in PDFs directly or connect your deal inbox. Velites automatically extracts company info, founder profiles, and key metrics — no manual entry required.
Specialized agents analyze each criterion simultaneously: team track record, innovation potential, market fit, and scaling potential. Each agent gathers supporting evidence from the web.
Get a structured, explainable report with scores, evidence, and an executive summary. Every score links back to specific findings. One-click to advance, reject, or flag for follow-up.
Every feature designed to augment — not replace — the judgment that makes great investors great.
Define evaluation criteria that match your fund's investment philosophy. Every deal is scored against your specific framework — not a generic template.
Every score is backed by evidence extracted directly from the pitch deck and web research. No black boxes. Partners can interrogate every assumption.
Agents apply sector-specific context automatically. A fintech in Lagos is evaluated with African mobile money dynamics in mind. Context-aware by design.
What takes an analyst 3–5 hours takes Velites 3 minutes. Screen your entire inbound pipeline before Monday morning standup.
Velites augments investor judgment. AI handles the grunt work so your team focuses on high-value activities: founder calls, diligence, and relationship building.
Track deal flow trends, scoring distributions, and thesis alignment across your entire pipeline. Institutional memory that compounds over time.
We are piloting and scoping pilots with investor teams across North America, Southeast Asia, and Africa.
We piloted Velites to screen 50+ deals and were impressed by how closely it mapped to our scoring criteria. What used to take our editorial team days now takes minutes while preserving the rigor we expect.
In pilot discussions with investors across regions
Annual SaaS subscription. One-time onboarding fee of $10K–$40K covers framework customization and data ingestion.
Up to $100M AUM
For emerging managers and smaller funds getting started with AI-powered screening.
Up to $500M AUM
For established funds with active deal flow who need speed without sacrificing rigor.
$500M+ AUM
For large funds, CVCs, and accelerators needing deep workflow integration and advanced security.
All plans include a one-time onboarding & calibration fee. Enterprise add-ons: premium benchmarking, PitchBook integration, portfolio analytics.
Built for VC funds, accelerators, and investment teams that need faster screening without compromising judgment and rigor.