San Francisco · CA, USA · founded 2023 · https://million.dev
Diligence memoA one-page analyst read on Million — recommendation, valuation, rhythm, risks.→Million: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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”
Tools for agent verification
Remember the first time you hit and your code actually worked? Something that didn't exist before, now alive on your screen. Today, coding agents can do that, orders of magnitude faster. But their verification is shallow at best. The faster agents generate code, the wider the gap grows. Nothing verifies software at the speed agents ship code. We believe verification unlocks long-horizon coding agents: agents that run for days and prove their work as they go.
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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Million 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.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Magnitude The best coding agent for open models | — | — | — | 79% |
| Naïve Agent Infrastructure as Code | Regtech | — | — | 79% |
| Synth Prompt and Context Optimization for Coding Agents | — | — | — | 79% |
| MindFort Autonomous Security Agents | AI / ML | — | — | 78% |
| Replicas Run any coding agent harness in the cloud | — | — | — | 78% |
| Compyle The coding agent that actually collaborates with you | — | — | — | 78% |
| Sourcebot Helping humans and AI agents understand massive codebases | AI / ML | — | — | 78% |
| Tasklet Agents that own the work | AI / ML | — | — | 77% |
See where Million sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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