Companies · Media & Content
SAN FRANCISCO · CA, USA; Remote · Media & Content · refined from filed group “Other” · founded 2015 · https://www.deepgram.com
Diligence memoA one-page analyst read on Deepgram, Inc. — recommendation, valuation, rhythm, risks.→Deepgram, Inc. looks fair against its niche peers and is active on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the media sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Deepgram, Inc. is one of 1052 Media & Content companies tracked from SAN FRANCISCO, CA, USA; Remote, on record since 2015. By capital raised it ranks among the largest (ahead of 99% of sector peers), and among the largest 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”
Building foundational AI for speech transcription and understanding.
Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.
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.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). No record for: Pre-Seed, Seed, Series A, Series C — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 33%.
Round size and date are reported; the stage label is inferred from round size (latest is Series D+ — a $100M–$400M round). Valuation is modeled from stage benchmarks scaled by the media sector profile. Directional, not a quoted figure.
Benchmarked against 1052 companies in Media & Content. 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 99% of sector peers (real $). Modeled value above 98% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series D+) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #2 of 5.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Lawyers Entertainment Consortium, LP | Series D+ | $300.0M | $2.2B | 2.59× |
| Deepgram, Inc. this company | Series D+ | $215.1M | $993.2M | 1.18× |
| Techtonic Media Entertainment Group Inc | Series D+ | $110.0M | $838.2M | 1.00× |
| Base Boy Entertainment Network Inc | Series D+ | $117.5M | $808.1M | 0.96× |
| Veeam Software Holding Inc. | Series D+ | $407.3M | $79.2M | 0.09× |
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. |
|---|---|---|---|---|---|
| Series B | $24.5M | 2020-12-16 | $136.0M | $326.8M | 90% |
| Series B | $17.4M | 2021-10-22 | $96.9M | $188.7M | 90% |
| Series B | $30.0M | 2022-11-22 | $166.7M | $248.4M | 90% |
| Series D+ | $143.2M | 2025-12-05 | $1.2B | $993.2M | 90% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
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.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| Scott Stephenson | — | 2 other | 2020-12 |
| Zach DeWitt | — | 2 other | 2020-12 |
| Elizabeth De Saint-Aignan | — | 1 other | 2025-12 |
| Adam Sypniewski | — | — | 2020-12 |
| Dave Wilner | — | — | 2022-11 |
Deepgram, Inc. 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 |
|---|---|---|---|---|---|
| Jasper AI, Inc. | Media & Content | Series D+ | $140.6M | $1.6B | same sector · same stage |
| Particle Media Inc. | Media & Content | Series D+ | $125.9M | $1.5B | same sector · same stage |
| Base Boy Entertainment Network Inc | Media & Content | Series D+ | $117.5M | $808.1M | same sector · same stage |
| Veeam Software Holding Inc. | Media & Content | Series D+ | $407.3M | $79.2M | same sector · same stage |
| Techtonic Media Entertainment Group Inc | Media & Content | Series D+ | $110.0M | $838.2M | same sector · same stage |
| Luminary Media, LLC | Media & Content | Series D+ | $103.1M | $1.6B | same sector · same stage |
| Northside Entertainment Holdings, LLC | Media & Content | Series D+ | $515.9M | $761.0M | same sector · same stage |
| DroneBase, Inc. | Robotics | Series D+ | $136.9M | $912.2M | network1 shared operator · same stage |
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 |
|---|---|---|---|---|
| AssemblyAI The best way to build Voice AI apps | AI / ML | — | — | 78% |
| Besimple AI Voice data for AI | AI / ML | — | — | 78% |
| Speechly Natural Language Understanding API for Speech that runs on device | — | — | — | 76% |
| Deeptrace AI agents for on-call | AI / ML | — | — | 76% |
| Vocode Open source Voice AI | AI / ML | — | — | 75% |
| Uplift AI Foundational Voice Models for regional languages | AI / ML | — | — | 75% |
| BoldVoice Speech and accent coaching app for non-native English speakers | AI / ML | — | — | 75% |
| Daily Conversational Voice and Multimodal AI built with Open Source | AI / ML | — | — | 75% |
See where Deepgram, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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