Companies · AI / ML
Remote · AI / ML · founded 2021 · https://www.humance.tech/
Diligence memoA one-page analyst read on Humance — recommendation, valuation, rhythm, risks.→Humance: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Humance is one of 2067 AI / ML companies tracked from Remote, on record since 2021. 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”
AI that keeps complex construction projects on schedule.
Humance is building an AI-powered project management tool for the construction industry, where work is highly coordinated and delays are costly. Large projects involve dozens of interdependent workstreams where a single setback can cascade unpredictably through the entire timeline. Today, most project managers track this manually — tracing dependencies by hand, updating schedules, and notifying stakeholders one by one. It's slow, error-prone, and pulls focus away from the higher-order decisions that demand real expertise. Experienced project managers carry deep knowledge — of sequencing, trade-offs, site realities, and stakeholder dynamics — that no tool can replicate. Humance is built around that expertise. By handling the mechanical work of dependency tracking and schedule coordination, it frees project managers to do what they're actually skilled at: exercising judgment, managing complexity, and keeping the big picture in view.
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.
Humance 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 |
|---|---|---|---|---|
| Structured AI AI workforce for Construction Engineering | HR / Worktech | — | — | 79% |
| Foreman Keeping contractors on the job site, not behind a desk. | AI / ML | — | — | 79% |
| Provision Ironclad for construction | AI / ML | — | — | 76% |
| FlowManual AI for Construction's Back Office. | AI / ML | — | — | 76% |
| PermitFlow Construction's AI Platform | Govtech / Public Sector | — | — | 76% |
| Helonic Automatic Construction Drawing Clash Detection | — | — | — | 75% |
| Constructable Building the next Procore | AI / ML | — | — | 74% |
| HumanLayer Ship 2-3x faster without AI slopping up your codebase | AI / ML | — | — | 74% |
See where Humance sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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