Map the thesis
Define the entities, relationships, signals, sources, and questions that matter for one specialist market or workflow.
For specialist teams that need to turn scattered research, market signals, internal knowledge, and source evidence into repeatable, self-improving decision workflows and insights that neither humans nor ChatGPT can match.
An Intelligence System makes research reusable. It connects entities, notes, sources, caveats, and workflows so a team can see what changed and why it matters.
Define the entities, relationships, signals, sources, and questions that matter for one specialist market or workflow.
Connect companies, people, labs, investors, products, customers, papers, patents, grants, notes, and market signals.
Keep outputs grounded with source traces, corroboration checks, direct entity support, caveats, and human review.
Turn the graph into recurring outputs: dossiers, market maps, memos, radar, call prep, and monthly intelligence briefs.
This is infrastructure: a private knowledge graph and research workflow that helps a team organize sources, surface weak signals, prepare diligence, and remember what it already knows.
The point is not to collect more information. It is to make the right information easier to find, question, compare, and act on.
Capture papers, calls, documents, datasets, and web signals with provenance and useful context.
Connect companies, people, products, markets, technologies, and claims into a living map.
Turn the graph into dossiers, memos, market maps, monitoring, and decision-ready briefs.
The first system should be narrow enough to build quickly and important enough to change how the team works.
Bring one thesis, one workflow, or one recurring decision. We can shape the first useful system around it.