Observed Signal · Oct 27, 2026 · Product Launch · Source: Trending Topics (DACH/CEE Innovation & Tech) · Impact: 3/5 · Sentiment: Positive
Researchly Launches AI Database of 7M DACH Companies
Austrian startup Researchly, based in Wels, has built an AI-powered company database covering about 7 million businesses in the DACH region (Germany, Austria, Switzerland). The platform automates M&A research by aggregating data from official registers (Firmenbuch, Handelsregister, Zefix) and enriching it with AI insights from websites, news, and live searches. Key features include a Heat Score for corporate activity, business model canvases, network graphs, and semantic search. Four AI agents generate analyses for strategic buyers, acquisition targets, valuations, and financial investors. Pricing ranges from €49 to €499 per month, with enterprise plans. Researchly targets advisers, investors, and companies seeking acquisition opportunities, offering a cost-effective alternative to traditional investment banking research. Founded by Leopold Bosankic, Felix Kefer, and Stefan Endl, the team currently has four people.
This is a notable product launch of an AI-driven M&A research platform targeting the DACH Mittelstand, an underserved market. It introduces a new entrant in the company data space, potentially disrupting traditional research methods for small and mid-sized deals.
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Key Takeaways & Evidence Grounding
- Researchly has built an AI-powered database covering about 7 million DACH companies.
- The platform aggregates data from Austrian Firmenbuch, German Handelsregister, and Swiss Zefix.
- Four AI agents automate M&A research, including strategic buyer identification, target search, valuation, and financial investor matching.
- Pricing starts at €49/month (Basic) and goes up to €499/month (Plus), with custom enterprise plans.
- The company was founded by Leopold Bosankic, Felix Kefer, and Stefan Endl, and is based in Wels, Austria.
Connected Companies & Entities
3 Entities mapped“Finnish start-up Comparables.ai recently raised $6 million for its AI-powered search for M&A deals.”
“Large deals are dominated by international databases such as PitchBook, S&P Capital IQ and Moody's Orbis.”
“Moody's (Orbis) is mentioned as a competitor for large deals.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Agentic Firmenbuch Lets AI Assistants Query Austria's Company Register
Jakob Neugebauer, based in Vienna, has launched Agentic Firmenbuch, a paid MCP server that allows AI assistants like Claude to query Austria's official company register (Firmenbuch) in natural language. The service processes freely available open data from the Ministry of Justice, calculates financial ratios, and covers about 350,000 Austrian companies plus master data for 1.63 million German companies. Pricing is credit-based, with trial credits, pay-as-you-go packages, and Pro/Enterprise tiers. The tool targets M&A advisers, investors, sales teams, and market researchers. Competitors include firmenbuch.ai, Compass, KSV1870, North Data, and Comparables.ai.
Agentic Firmenbuch: AI Access to Austrian Company Registry
Jakob Neugebauer, a Vienna-based developer, has launched Agentic Firmenbuch, a paid service that lets AI assistants query the Austrian company registry (Firmenbuch) via the Model Context Protocol (MCP). The service processes public data from the Ministry of Justice, calculates financial ratios, and provides answers in natural language. It covers around 350,000 Austrian companies, with daily updates, and offers structured balance sheet data from 2022 onwards. The service is monetized via credits, with prices starting at €50 for 500 credits. It faces competition from established providers like Compass, KSV1870, and North Data, as well as comparables.ai, which recently raised $6 million for AI-driven M&A target discovery.
Developer Turns Austrian Firmenbuch Into REST API
A developer built 'firmafind', a REST API wrapper around Austria's public company register (Firmenbuch) to provide programmatic access to company data (addresses, directors, shareholders, legal form, financial statements). The project required extensive XML parsing because financial statements use cryptographic field codes decoded via an official Excel 'decode key'. The author launched free endpoints with caching to improve performance over the slow government SOAP service, later introduced paid monthly subscriptions after initial scaling and billing complexity. The first paying customer was an international company, prompting an English translation and a shift toward serving international compliance, legal, and fintech customers. Roadmap items include expanding to other European registers, credit scoring from financial statements, and a modular KYC API covering insolvency and beneficial ownership registries. The free search tool remains available at firmafind.at.
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