Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2025 · https://www.useflai.com/
Diligence memoA one-page analyst read on Flai — recommendation, valuation, rhythm, risks.→Flai: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Flai 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”
We Bring Customers to Your Dealership
The problem we solve: 56% of dealership leads arrive after business hours, and most dealers lose these potential customers to competitors who happen to be available 24/7. Missing after-hours calls alone costs the average dealership $1M annually in lost revenue. We built Flai to fix this - AI assistants that answer dealership calls 24/7, scheduling test drives, oil changes, or running outbound recall campaigns so no opportunity slips away. The result: No more missed opportunities, no more losing customers to competitors. Our founding team has built voice AI products at HappyRobot, scaled infrastructure at Uber for millions of users, and applied data science at Netflix to solve operational challenges. We're not just answering phones, we're helping dealerships win in an AI-first world where availability determine who gets the sale.
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.
Flai 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 |
|---|---|---|---|---|
| ShortLoop, Inc. Phone AI that Captures Every Dealership Revenue Opportunity | AI / ML | Seed | $24.9M | 82% |
| Chasi AI Revenue Engine for the Equipment Industry | AI / ML | — | — | 81% |
| Boom AI AI agents that recover lost revenue through real conversations. | AI / ML | — | — | 78% |
| Sandra AI Building AI employees for car dealers | AI / ML | — | — | 77% |
| Leaping AI AI voice and texting agents | Insurance | — | — | 77% |
| Toma AI for Underserved Industries | Hardware / Semiconductors | — | — | 77% |
| Clearline AI operating system for car dealerships to capture missed revenue | AI / ML | — | — | 76% |
| VoxOps AI Voice AI for Automotive | AI / ML | — | — | 76% |
See where Flai sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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