Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2025 · https://upliftai.org/
Diligence memoA one-page analyst read on Uplift AI — recommendation, valuation, rhythm, risks.→Uplift AI: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Uplift AI 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”
Foundational Voice Models for regional languages
We build Voice Models for regional languages (like Urdu, Bengali, Greek etc) and make them available through simple APIs and SDKs. Developers use us to create Voice-first digital experiences (eg. Voice eCommerce, Voice Banking, Voice AI Tutors etc). We gather our own data, develop our own labelling tools, train our own models, and design our own voice infra. This fully integrated approach enables us to offer the best models and the best developer experience for regional languages. --- People who would previously never use certain digital services (like online ordering), actually use the service when they are given an intuitive Voice based interface. We believe that Voice Interfaces will onboard 100s of millions of new users onto digital services; and double the addressable market for technology companies. Uplift AI will provide the best models to create these Voice Interfaces for 60% of the world's population that only speaks their regional language and represents 42 trillion dollars in GDP.
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.
Uplift AI 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 |
|---|---|---|---|---|
| Besimple AI Voice data for AI | AI / ML | — | — | 82% |
| Pinch Real-time AI Voice Translation for Developers | AI / ML | — | — | 81% |
| Leaping AI AI voice and texting agents | Insurance | — | — | 80% |
| PlayAI Our mission is to make Voice AI accessible and useful to all. | AI / ML | — | — | 79% |
| Samora AI Multilingual voice agents that outperform humans | AI / ML | — | — | 79% |
| Voice AI Inc. | AI / ML | Series A | $60.3M | 79% |
| AssemblyAI The best way to build Voice AI apps | AI / ML | — | — | 79% |
| Toko Learn English by speaking with an AI | AI / ML | — | — | 79% |
See where Uplift AI sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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