launchpad-ai-factory scans dozens of signal sources every morning, synthesises EU-hosted LLM hypotheses, scores them on 7 MIRACLE dimensions, and queues the best ones as GitLab epics ready for prototyping — all without leaving the EU.
The entire venture intelligence pipeline runs daily with zero manual intervention.
Multi-source scanners pull from Hacker News, ProductHunt, GitHub trending, Reddit, and more into a unified signal store. EWMA + Kleinberg burst detection scores trends statistically so only meaningful signals surface.
Each morning, the synthesis agent groups strong signals into venture hypotheses with a single structured reasoning pass. EU-hosted Mistral and Anthropic Bedrock back the pipeline — your data never leaves EU datacentres.
Every hypothesis is rated on 7 MIRACLE dimensions (Market, Impact, Readiness, Advantage, Capital, Legality, Ecosystem). Approving a hypothesis creates a GitLab epic, Vault note, and queues a prototype brief automatically.
Real-looking hypotheses and signals — generated fresh each morning.
EU AI Act enforcement is creating urgent compliance demand among mid-market SaaS vendors. A structured compliance-as-a-service layer — audit trails, risk classification, documentation — could command 5-figure ARR per seat.
Government and regulated-industry customers are blocked from SaaS vector DBs due to data residency requirements. An on-premise, Docker-deployable vector database with managed ops tooling addresses a gap no existing player fills cleanly.
EU AI Act enforcement timeline officially confirmed by European Commission
Mistral releases EU-only inference cluster with GDPR data processing agreement