At Researchly (https://www.researchly.at) we automate market and competitive analysis. We learned that on-the-fly web search through AI agents isn't reliable enough for consistent, in-depth work.Existing data providers such as PitchBook or Crunchbase are either too expensive or lack the data we need: operational signals such as management changes or new partnerships, for DACH. Furthermore, search tools such as Exa tend to be probabilistic. What they return depends on the model and on SEO rankings, so two runs of the same query can give you two different answers.So we built our own search layer: several providers (Exa, Linkup, Tavily, Parallel), allow/deny lists, source rankings (we once caught ourselves citing our own blog posts), and checks whether an empty result means "nothing there" or "out of budget".It works, but: it's slow, expensive, non-deterministic & we kept redoing the same research for different clients (which makes it very un-economic).So we started building the data laye...