San Francisco · CA, USA · founded 2026 · https://autostep.ai/
Diligence memoA one-page analyst read on Autostep — recommendation, valuation, rhythm, risks.→Autostep: 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”
The P&L for knowledge work
Autostep maps how work actually happens across a company, finds repetitive tasks and bottlenecks, and ranks them by cost and impact. Then it fixes them by building agents inside existing tools, changing the process, or finding the right software.
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.
Autostep 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 |
|---|---|---|---|---|
| Motion The only work management platform for both Human and AI Employees | AI / ML | — | — | 73% |
| Cofia AI automations that implement themselves | AI / ML | — | — | 73% |
| BaseFrame Detect what AI can automate for your team | AI / ML | — | — | 73% |
| Perceptron ML An event-driven AI engine that turns real-world signals into action. | AI / ML | — | — | 73% |
| Arzana The autonomous ERP for every manufacturer | — | — | — | 73% |
| AutoComputer Desktop RPA with AI computer use | AI / ML | — | — | 72% |
| Armature Armature builds, monitors and optimizes products' Agent Experience. | AI / ML | — | — | 72% |
| Callback Effortless AI automation for business operations | AI / ML | — | — | 72% |
See where Autostep sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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