Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2024 · https://www.pokalabs.com/
Diligence memoA one-page analyst read on Poka Labs — recommendation, valuation, rhythm, risks.→Poka Labs: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Poka Labs is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2024. 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”
Helping industrial manufacturers win deals fast, at the right price.
Poka Labs builds an AI platform to help sales reps at chemical manufacturers respond to requests from customers and win more business. Our agents understand each companies product catalog, customer purchase behaviors, and tribal knowledge in order to price, quote, and win the business. Malay and Andrew met while pursuing at Harvard Business School and now are building for companies ranging from a few million in sales per year to billions.
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.
Poka Labs 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 |
|---|---|---|---|---|---|
| a0.dev | AI / ML | — | — | — | same sector |
| A1Zap by A1Base | AI / ML | — | — | — | same sector |
| Abstra | AI / ML | — | — | — | same sector |
| Abundant | AI / ML | — | — | — | same sector |
| Acrely | AI / ML | — | — | — | same sector |
| Adam | AI / ML | — | — | — | same sector |
| Afternoon.co | AI / ML | — | — | — | same sector |
| Agentin AI | 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 |
|---|---|---|---|---|
| Comena AI agents for distributors and manufacturers to automate order entry. | AI / ML | — | — | 79% |
| NOSO LABS Build AI agents for field technicians to diagnose and sell 10x better | AI / ML | — | — | 78% |
| Andustry We help manufacturers find suppliers for industrial equipment. | AI / ML | — | — | 77% |
| Sprites The AI performance marketing agent for entrepreneurs and growth teams | AI / ML | — | — | 77% |
| Surface Labs Building the AI-powered marketing ops platform that turns website… | AI / ML | — | — | 77% |
| Soff AI Agents for Distributors | AI / ML | — | — | 77% |
| Amika Infra to build your own software factory | AI / ML | — | — | 77% |
| Poodle AI Corp. | AI / ML | Series A | $26.6M | 77% |
See where Poka Labs sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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