Companies · AI / ML
San Francisco · CA, USA; Remote · AI / ML · founded 2025 · https://www.rocketable.com
Diligence memoA one-page analyst read on Rocketable — recommendation, valuation, rhythm, risks.→Rocketable: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Rocketable is one of 2067 AI / ML companies tracked from San Francisco, CA, USA; Remote, on record since 2025. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
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 AI Maximalist Software Holding Company
Rocketable is building a large portfolio of wildly profitable software businesses by acquiring existing products and replacing human teams with AI agents. Today’s foundation models already possess enough intelligence to automate most of the tasks required to run a profitable software business. In the functions where agents aren’t yet intelligent enough to replace humans, they will be soon. When every human function required to operate a software product has an AI agent equivalent, the next step will be within reach: operating an entire company with a team of AI agents instead of humans. But superintelligent agents within each function won’t be enough. To operate a software company with 0 human employees, the agents will need to be directed towards common goals, integrated to collaborate across functions, tuned with feedback loops connected to product metrics, and trained to make resource allocation decisions. We are creating the tools needed to replace the entire org chart of a software company with a team of AI agents. We are developing these tools by owning the products that we automate, because we know from 10+ years of experience building automated systems with AI/ML that integration is the key to unlocking superhuman performance.
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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.
Rocketable is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
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 |
|---|---|---|---|---|
| Sully.ai Autonomous team of AI agents that runs the entire hospital operations | AI / ML | — | — | 77% |
| People.ai Harnesses business activity to unlock growth. | AI / ML | — | — | 77% |
| Sprites The AI performance marketing agent for entrepreneurs and growth teams | AI / ML | — | — | 77% |
| Redouble AI Java-native multi-agentic AI operating system for enterprise | Pharma | — | — | 77% |
| Ressl AI AI Workers for Field Services | Insurance | — | — | 77% |
| Backdrop Hire your first AI Product team. | Fintech | — | — | 77% |
| ZeroEntropy Artificial Specialized Intelligence | AI / ML | — | — | 77% |
| Rocket Doctor Ai Inc. | AI / ML | Pre-Seed | $345K | 77% |
See where Rocketable sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
If you work at Rocketable, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.
Is this your company? Update your profile or add contact details — and choose exactly who can reach you. Reviewed before anything is published.