Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2025 · https://manufact.com
Diligence memoA one-page analyst read on Manufact — recommendation, valuation, rhythm, risks.→Manufact: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Manufact is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, 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”
Cloud infrastructure for MCP servers and Claude / ChatGPT apps.
Manufact is the MCP cloud platform to get your product ready for Claude Connectors marketplace, ChatGPT App Store and any AI agent that supports MCP. We're the team behind mcp-use SDK, the open-source framework for building MCP Apps with 10k github stars and 8M+ downloads across python and typescript. It's the fastest and most complete solution for production-ready MCP servers.
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.
Manufact 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 |
|---|---|---|---|---|---|
| 21st | AI / ML | — | — | — | same sector |
| Absurd | AI / ML | — | — | — | same sector |
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
| Ai-Ais Hot Springs | 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 |
|---|---|---|---|---|
| Humwork Human experts as API for AI Agents | AI / ML | — | — | 77% |
| Nessie A shared context layer for you, your team, and your agents. | AI / ML | — | — | 74% |
| Chamber The AIOps Agent for ML Teams | AI / ML | — | — | 73% |
| FlowManual AI for Construction's Back Office. | AI / ML | — | — | 73% |
| Truffle AI AWS for AI Agents | AI / ML | — | — | 73% |
| Andustry We help manufacturers find suppliers for industrial equipment. | AI / ML | — | — | 73% |
| Armature Armature builds, monitors and optimizes products' Agent Experience. | AI / ML | — | — | 73% |
| Glue The Interface Design Canvas for AI agents | AI / ML | — | — | 72% |
See where Manufact sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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