AI & Big Data
LaunchPulse
AI-powered startup evaluation engine giving investors and founders data-driven confidence.
About the Project
What We Built
LaunchPulse is a comprehensive platform combining modern web technologies with machine learning to help founders and investors make data-driven decisions. It analyzes startup metrics, market signals, and document intelligence to predict success probability and surface risk factors before capital is committed.
The Problem We Solved
Challenge, Solution & Outcome
Investors rely on gut instinct and incomplete data when evaluating early-stage startups, leading to high failure rates and missed opportunities in both directions.
A structured ML evaluation platform that ingests startup data, financial documents, and market signals to produce objective, multi-dimensional risk and opportunity scores.
Founders receive actionable feedback on their weaknesses before pitching. Investors build conviction faster with quantified risk profiles replacing anecdotal assessment.
Technology
Tech Stack Used
Capabilities
Key Features
ML models analyze startup metrics across team quality, market size, traction, and financials to generate a calibrated success probability score.
Automated risk scanning surfaces red flags across regulatory exposure, market saturation, burn rate, and competitive landscape.
Proprietary algorithm cross-references product-market indicators against verified industry benchmarks to score fit across verticals.
Secure vault with intelligent parsing for pitch decks, financial models, and business plans automatically extracting key metrics.
Multi-dimensional growth assessment models project revenue trajectories, customer acquisition curves, and expansion scenarios.
Role-based access control allows deal leads, analysts, and LPs to collaborate on evaluations with granular permission levels.