Research stops at information
You know the market is changing, but not which problem hurts enough or who will pay to solve it.
×AI Commercial Discovery OS
PERFIT AI continuously reads real-world market signals, uncovers high-value problems, validates demand with customer evidence, and turns what it learns into an executable product definition.
Research is fragmented
Traditional research gives you information, sales tools give you contacts, and product tools give you templates. The hard part is proving the causal link between all three.
You know the market is changing, but not which problem hurts enough or who will pay to solve it.
×You ask “Would you buy this?” and get polite feedback without reducing uncertainty around the core commercial assumptions.
×The PRD documents features, but cannot explain why they matter or which customer evidence supports them.
×One connected workflow
Every score, hypothesis, and feature links back to real evidence. Supporting evidence raises confidence. Contradicting evidence lowers it.
“Qualification cycle time is becoming the limiting factor as package complexity increases.”
Supports“Simulation is not our bottleneck. Comparable material inputs are where we lose weeks.”
ChallengesThermal and packaging reliability openings rose 34% across target accounts.
SupportsEvidence-first workflow
Read community, technology, hiring, and company signals to extract pain, workarounds, spending, and urgency.
Score pain, frequency, growth, buyer clarity, economic impact, willingness to pay, and solution gaps.
Identify the right companies and people, generate neutral questions, and keep a human in control of customer discovery.
Turn a validated problem into a product thesis, MVP, feature priorities, PRD, and pilot plan.
Built for hard markets
Prove that a specific buyer owns the problem and will join a pilot before committing months of engineering.
Reduce build riskContinuously find frequent, expensive workflows where existing solutions fail instead of copying popular features.
Find the wedgeDetect structural shifts in current market signals and preserve the complete evidence chain behind every thesis.
Source convictionTurn technology trends into testable business opportunities and manage pilot decisions with one consistent method.
Build the pipelineThe long-term moat
The Evidence Graph connects raw signals, problems, hypotheses, opportunities, and product features. Over time, the system learns which early signals ultimately become validated demand.
Pricing
For founders searching for their next defensible commercial wedge.
For product teams moving continuously from opportunity discovery to customer validation.
For organizations that need private data sources, team workspaces, and governance.
Start with one market
Tell us which industry you are exploring. The demo will run your real topic through Discover → Research → Validate.