--- title: "Deal Flow Software for VCs & Studios (2026): AI Scoring + Triage" slug: teams description: "Deal flow software that scores inbound deals in 5 minutes against live market data. AI triage for VCs, venture studios, and agencies. White-label, free trial." canonical: https://preuve.ai/teams audience: Agencies, accelerators, incubators, VCs, venture studios modified: 2026-04-09 --- # Preuve AI for Teams > **TL;DR:** Preuve AI for Teams is a white-label lead qualification product for agencies, accelerators, VCs, and venture studios that scores every inbound startup project in 5 minutes against live external sources (Crunchbase, G2, Capterra, Google Trends, SEC EDGAR, Reddit), priced at $199/mo for 15 projects (Starter), $399/mo for 30 projects (Pro), or $799/mo for 60 projects (Scale), with a free trial of 5 projects and no card required, and one filtered bad-fit call typically pays back the Starter plan for the entire month. ## Who it is for - Agencies and dev shops - Accelerators and incubators - VCs and angel networks - Venture studios ## How it works 1. Embed a branded scanner on your site (one code snippet, 5 minutes). 2. Prospects submit a startup idea through the scanner. 3. The AI pipeline pulls competitor, demand, and market signals from live external sources and scores each project. 4. Your team opens the dashboard with a sourced market report, competitors, TAM, and demand signals before the first call. 5. High-signal projects move forward. Weaker ones get pivot guidance and you save the call. Setup time: one code snippet, 5 minutes. ## Pricing ### Starter - $199/mo _For small teams._ - 15 projects/month - Branded scanner on your site - Full dashboard - Pivot coach for every project - Email alerts - Free trial: 5 projects, no card - One filtered call pays for the whole month. ### Pro - $399/mo _For growing teams._ - 30 projects/month - Everything in Starter - Priority support - Discreet mode - CRM integration (coming soon) - Save 2 bad calls/month equals 2x ROI, plus your brand and zero badge. ### Scale - $799/mo _For large teams._ - 60 projects/month - Everything in Pro - Dedicated onboarding - Enterprise API on request - Most teams recoup this in week 1. ## Why it works - **Live data, not model memory.** Each report pulls from Crunchbase, G2, Capterra, Google Trends, SEC EDGAR, public pricing pages, and community discussions like Reddit. Claims that cannot be tied back to an auditable source stay out of the report. - **AI quality filter.** Every submission passes through an AI filter before reaching your dashboard. Keyboard spam, test entries, sales pitches, and prompt injections are caught automatically. Serious submissions still get through even when brief. - **Agentic RAG pipeline.** Autonomous AI agents search the live web in parallel, retrieve real competitor and market data, filter junk sources, then feed verified facts to a reasoning model that scores each project. Every claim links back to a source. - **Triage, not gatekeeping.** Nothing is auto-rejected. Every submission still appears in your dashboard. The score is a triage signal that gives your team context before the first call. ## Common questions ### Where does the data come from? From live external sources, not model memory. For each report, Preuve AI pulls competitor, demand, and market signals from sources like Crunchbase, G2, Capterra, Google Trends, SEC EDGAR, public pricing pages, and community discussions like Reddit. Key claims are cross-checked during the analysis window and only included when they can be tied back to an auditable source. If a claim cannot be verified, it stays out of the report. ### How does this fit into our lead qualification process? It runs before the first touch. Instead of qualifying leads with a form and a guess, each inbound project is scored against live market data before anyone picks up the phone. Your team opens the dashboard and already has the competitors, TAM, and demand signals they need to decide whether the project is worth an hour. ### Can we use the report as a discovery call checklist? Yes. Most teams use the generated report as a pre-call briefing document. Competitors, market size, demand signals, and open questions are all in one place, so the discovery call moves from fact-finding to decision-making. Some teams print it, some share it in the deal room, some paste it into their CRM. ### How is this different from a normal intake form? Forms collect what people say. This adds evidence: real competitors, market sizing, trend data, and pricing benchmarks. The maturity score comes from sourced market data, not self-reporting. ### Can your reports hallucinate data? The system is built to minimize hallucinations. Every key data point must be tied to a source. If a claim cannot be sourced, it is not included in the report. ### What if a strong project scores low? Nothing is auto-rejected. Every submission still appears in your dashboard. The score is a triage signal, not a gate, and the report gives your team context before the first call. ### Will people feel like they are being filtered? They do not see a filter. They get a useful market report. If a project is early, the evidence explains why and points to what needs work. ### We already have a qualification process. This runs before your process. The research your team does in 45 minutes, this does in 5. By the time you get on the call, competitors, market size, and trend data are already on your dashboard. Your discovery call becomes a strategy call. ### $199/month feels high for a small team. How much does your team spend researching each prospect? At 45 minutes each, you spend 10+ hours a month before anyone picks up the phone. The Starter plan costs $199. The trial is free with 5 projects and no card. You only pay when the math works. ### What stops people from submitting junk ideas and burning my credits? Every submission passes through an AI quality filter before it reaches your dashboard. Keyboard spam, test entries, sales pitches, and prompt injections are caught automatically. Serious submissions still get through, even when they are brief or rough. ### How does the AI actually work? This is not a ChatGPT prompt. It is an agentic RAG pipeline: autonomous AI agents search the live web in parallel, retrieve real data like competitors, funding, and market size, filter out junk sources, then feed verified facts to a reasoning model that scores each project. Standard code handles the deterministic logic. The AI handles the synthesis. That is why every claim links to a source. ### How long does setup take? One code snippet. 5 minutes. ## Canonical - HTML: https://preuve.ai/teams - Markdown: https://preuve.ai/teams.md - Sample report: https://preuve.ai/share/8zQjhSn9?source=teams - Sources methodology: https://preuve.ai/sources - Consumer product: https://preuve.ai