Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2026 · https://hessian.sh
Diligence memoA one-page analyst read on Hessian — recommendation, valuation, rhythm, risks.→Hessian: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Hessian is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2026. 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”
Forward-deployed AI Agents
Hessian is the platform for automating business operations with AI agents. We forward deploy on-site to map the work, and build the agents on our platform to run it end-to-end. Unlike off-the-shelf tools that don't know your business, you get a partner that owns the software and operates it every day. Why now? Coding agents have matured to the point where, combined with our engineering judgment we've built across a decade of shipping production systems, we can scale forward-deployed engagements with minimal headcount. Furthermore, our FDE agents and tooling will accelerate how quickly we automate workflows on our platform. We're already saving our customers hundreds of hours a month. Trillions of dollars a year are spent on knowledge work, and we're building the standard for how every company deploys, operates, and governs the AI agents that do it.
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.
Hessian 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 |
|---|---|---|---|---|
| Substrate Artificial Intelligence for your medical billing team | AI / ML | — | — | 78% |
| Trelium The Agent to Build Your Agents | — | — | — | 77% |
| Foaster The AI-native McKinsey | AI / ML | — | — | 77% |
| Ressl AI AI Workers for Field Services | Insurance | — | — | 77% |
| OpenProse An open-source operating system for reliable long-running agents | AI / ML | — | — | 76% |
| Manicule AgentRel — Devrel For Agents | AI / ML | — | — | 76% |
| Chamber The AIOps Agent for ML Teams | AI / ML | — | — | 76% |
| Chasi AI Revenue Engine for the Equipment Industry | AI / ML | — | — | 76% |
See where Hessian sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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