Everything above was built solo, in days, against generic thesis definitions. That is the floor of what this method produces. The ceiling depends on three things a fund already has and I did not.
- Your thesis, encoded. The keyword and classification sets are my reading of three theses from the outside. Replaced with how Systemiq actually defines them, and calibrated against the companies you passed on and why, the filtering gets materially sharper at no extra running cost.
- More scouts. Patents, EU research consortia, private placement filings and founder crossover are scoped and queued. Each widens the net into geographies and signal types the five running today cannot see.
- Your judgement in the loop. Every ranking factor is a number in a config file. When an investor disagrees with a placement, that disagreement becomes a weight change, and the system carries it forward permanently.
The work this removes is the repetitive part: screening thousands of records every week to find the dozen worth a conversation. That happens overnight, on a cadence, whether or not anyone has time for it. What reaches an investor is a short, ranked list with the evidence attached, so the hours go into judging companies rather than finding them.
From sourcing to first conversation
Finding a founder is half the problem. The other half is reaching them early, warmly and at a volume a small team can sustain. I built exactly this engine once before at Reef: a data-driven acquisition system that found and qualified targets automatically, ran outbound at a A$410 customer acquisition cost and roughly 8.5x return on ad spend inside thirty days, and carried the company from zero to sold in twelve months.
Pointed at this pipeline, the same machinery closes the loop: a scout surfaces a founder from their first public trace, the system drafts an approach grounded in the specific signal that surfaced them, and it tracks what turns into a conversation. Over time, replies become another ranking input, so the sourcing gets better at finding the founders who actually want to talk. That is the sourcing spike, running end to end, and it is the part I would most want to build alongside an investment team.
What it does not do yet
A sourcing process that only presents its strengths is not worth trusting. Continental Europe is thin, because both register-grade sources are UK and the US coverage is grant-based. The press check reads current funding-news feeds, so it detects present coverage rather than historical. And the company register supplies the largest share of screened records and almost none of the shortlist, because an incorporation record carries no description of the business. Each of these has a known fix already scoped.
Generated 01 October 2026. No scraping behind logins, no personal contact details, and every contact path is a company’s own public channel.