Companies · AI / ML
OAKLAND · CA, USA; Remote · AI / ML · refined from filed group “Other Technology” · founded 2022 · https://www.fathom.ai
Diligence memoA one-page analyst read on Fathom, Inc. — recommendation, valuation, rhythm, risks.→Fathom, Inc. looks fair against its niche peers and is at-risk on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the ai/ml 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.
Fathom, Inc. is one of 2067 AI / ML companies tracked from OAKLAND, CA, USA; Remote, on record since 2022. By capital raised it ranks among the largest (ahead of 96% 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”
The most flexible AI meeting notetaker ever built.
Fathom captures your meetings your way – bot or bot-free, on any call. Ask questions across your entire meeting history and get instant, cited answers. Connect your intelligence to Claude, ChatGPT, your CRM, and more. Desktop, mobile, and in-person. The real value of meetings isn't just the notes. It's the knowledge inside them. #1 AI Notetaker on G2. Works with Zoom, Meet, and Teams.
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 B — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 40%.
Round size and date are reported; the stage label is inferred from round size (latest is Series C — a $40M–$100M round). Valuation is modeled from stage benchmarks scaled by the ai/ml sector profile. Directional, not a quoted figure.
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 96% of sector peers (real $). Modeled value above 97% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series C) 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 #4 of 18.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Stability Ai, Inc. | Series C | $76.3M | $1.4B | 2.49× |
| Hayden AI Technologies Inc. | Series C | $95.6M | $967.3M | 1.66× |
| Runway AI Inc. | Series C | $48.2M | $851.4M | 1.46× |
| Fathom, Inc. this company | Series C | $61.1M | $839.5M | 1.44× |
| Protect AI, Inc. | Series C | $80.8M | $801.0M | 1.38× |
| Reka AI, Inc. | Series C | $57.3M | $740.7M | 1.27× |
| Persefoni AI Inc. | Series C | $66.2M | $727.6M | 1.25× |
| Hume AI Inc. | Series C | $69.9M | $646.0M | 1.11× |
| Unlearn.ai, Inc. | Series C | $115.0M | $592.7M | 1.02× |
| Decagon AI, Inc. | Series C | $61.5M | $570.7M | 0.98× |
| Electric AI, Inc. | Series C | $208.2M | $524.4M | 0.90× |
| Mynd.ai, Inc. | Series C | $42.2M | $521.4M | 0.90× |
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 A | $14.8M | 2019-05-02 | $67.3M | $535.1M | 90% |
| Series C | $46.3M | 2022-11-04 | $308.6M | $839.5M | 90% |
| Series C | $46.3M | 2022-11-04 | $308.6M | $839.5M | 90% |
| Series C | $46.3M | 2022-11-04 | $308.6M | $839.5M | 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 |
|---|---|---|---|
| Mark McLaughlin | — | 4 other | 2022-11 |
| Rishi Reddy | — | 3 other | 2019-05 |
| Galym Imanbayev | — | 1 other | 2022-11 |
| ANDREW LOCKHART | — | — | 2019-05 |
| CHRISTOPHER BOCKMAN | — | — | 2019-05 |
Fathom, 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 |
|---|---|---|---|---|---|
| Pactum AI, Inc. | AI / ML | Series C | $61.0M | $376.6M | same sector · same stage |
| Palladyne AI Corp. | AI / ML | Series C | $60.8M | $63.1M | same sector · same stage |
| Decagon AI, Inc. | AI / ML | Series C | $61.5M | $570.7M | same sector · same stage |
| Unify AI Business Corp | AI / ML | Series C | $58.2M | $305.6M | same sector · same stage |
| Reka AI, Inc. | AI / ML | Series C | $57.3M | $740.7M | same sector · same stage |
| Persefoni AI Inc. | AI / ML | Series C | $66.2M | $727.6M | same sector · same stage |
| General Counsel AI, Inc. | AI / ML | Series C | $67.2M | $354.9M | same sector · same stage |
| Hume AI Inc. | AI / ML | Series C | $69.9M | $646.0M | same sector · 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 |
|---|---|---|---|---|
| Circleback AI-powered meeting notes and automations | AI / ML | — | — | 78% |
| Speck AI Notetaker that automates all your admin work | AI / ML | — | — | 77% |
| Fathom Labs, Inc. | Software / Tech | Pre-Seed | $8.2M | 77% |
| Sonnet Meeting notes and CRM, automated | AI / ML | — | — | 76% |
| Nowadays AI-native platform for corporate meetings and events | AI / ML | — | — | 75% |
| Letterdrop Book more meetings with conversational intent | — | — | — | 74% |
| Recall.ai The API to get recordings, transcripts, and metadata from meetings | AI / ML | — | — | 74% |
| Tetra AI notetaker for phone calls | AI / ML | — | — | 74% |
See where Fathom, 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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