Helsinki · Finland · founded 2022 · https://www.speechly.com/
Diligence memoA one-page analyst read on Speechly — recommendation, valuation, rhythm, risks.→Speechly: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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”
Natural Language Understanding API for Speech that runs on device
Speechly makes it cost efficient to understand human conversations, in real-time. We do this by enabling high-accuracy spoken language understanding processed right on the end user’s device. Hundreds of millions of hours of audio data are generated every single day online. Speechly is the first solution that can affordably turn this audio into actionable insights.
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 8525 companies in this sector. 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 96% of sector peers (real $). Modeled value above 96% 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.
Speechly is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
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 |
|---|---|---|---|---|
| Fluently Speaking coach for non-native English professionals | AI / ML | — | — | 79% |
| Vocality Health Voice AI for medical language translation | AI / ML | — | — | 76% |
| Daily Conversational Voice and Multimodal AI built with Open Source | AI / ML | — | — | 76% |
| Deepgram, Inc. Building foundational AI for speech transcription and understanding. | Media & Content | Series D+ | $993.2M | 76% |
| Besimple AI Voice data for AI | AI / ML | — | — | 75% |
| AssemblyAI The best way to build Voice AI apps | AI / ML | — | — | 75% |
| Linguistic Inc. | Other Technology | Pre-Seed | $7.8M | 74% |
| Voiceops We help B2C companies learn from every customer interaction | — | — | — | 74% |
See where Speechly sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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