Skopia was started by two founders who kept running into the same wall: the market intelligence that makes or breaks early decisions is expensive, fragmented, and slow. We're fixing that.
CB Insights' review of 431 VC-backed shutdowns since 2023 points to the same root cause: founders build before they truly understand their market. The data exists — it's split across registries, platforms, and tools that each solve one small piece of the puzzle, leaving founders and investors to stitch it together manually.
Our wedge is deliberately narrow. Both products — for founders and investors — draw on the same private-market data engine, giving us a single infrastructure to build and scale.
Enter a business description in plain language. Receive a structured market map: the size of the segment, funding flowing into it, three competitor clusters (direct, partial, potential), and concrete differentiation angles. Cut early validation from several hours to under fifteen minutes.
Run a structured query — comparable SaaS companies in the Baltics under €5M ARR — and receive a ranked shortlist with the reasoning behind each match. Specific and actionable, not a generic dashboard. Built for associates and analysts who screen deals in the first 48 hours.
We interviewed over 15 founders and investors before writing a line of code. The problem was real and consistent across every conversation.
Product management at Uber and Amazon, where structured problem solving and data-driven decisions at scale were the daily job. Applies the same rigour to Skopia's data pipeline, scoring engine, and product direction. Leads the technical build — data ingestion, company scoring, and the LLM analysis layer.
Venture capital, tax consulting at Deloitte, and AI advisory at AAI Labs. At an early-stage VC fund he learnt how investors evaluate markets, competitors, and growth. Bridges the gap between what investors need and what founders can understand. Deeply networked across the Baltic and London startup ecosystems.
We launch with founders, refine through feedback, then expand to investors. Both sides draw on the same data engine, reducing costs and creating a direct link between participating startups and investors.
We're onboarding our first users in Lithuania — founders, investors, and corporates in the Baltics.
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