Turn your intake flow into
a qualification system.

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.

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.

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.

We built the system to minimize hallucinations. Every key data point must be tied to a source. If we cannot source it, we do not include it in the report.

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.

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.

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.

How much does your team spend researching each prospect? At 45 minutes each, you're spending 10+ hours a month before anyone picks up the phone. What's that worth? It costs $149. Trial is free, 5 projects, no card. You only pay when the math works.

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.

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.

One code snippet. 5 minutes. We handle the rest.