Alpha ResearchSpring 2025Active☆Watch⊞Compare

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Open source, agentic knowledge bases for all of humanity's knowledge.

Alpha Research builds open source agentic knowledge bases. Our mission is to help knowledge workers work 100x faster. We launched and open sourced our first platform, Alpha Book on a mirror of the Project Gutenberg dataset (75,000 books). Knowledge work is bottlenecked in two key ways: finding evidence and testing hypotheses. We make both 100x faster. We extend keyword search and RAG with general coding agents, which use filesystem tools like ripgrep and reason iteratively to find broad evidence. Coding agents also write ad-hoc scripts to label datasets and test hypotheses. Our timeline is simple: repeat Alpha Book across every public dataset of humanity's knowledge. Next we'll launch Alpha Econ with US Census, BLS, NBER, etc datasets. Alpha Justice with US Supreme Court Cases, and so on. We support museums, research libraries, historical societies, and archives. We also do custom integration work for enterprise.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 8525 companies in this sector. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 96% of sector peers (real $). Modeled value above 96% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Alpha Research is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Alpha Research sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Alpha Research, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.