Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2025 · https://www.athenahq.ai
Diligence memoA one-page analyst read on AthenaHQ — recommendation, valuation, rhythm, risks.→AthenaHQ: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
AthenaHQ 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”
Be the Answer in AI Search - AI SEO across SEO, GEO & AEO
Make sure your brand doesn’t get left behind as search shifts from traditional SEO to generative AI search. AthenaHQ is an AI SEO platform for GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), helping brands show up in AI-generated answers across ChatGPT, Perplexity, Claude, Gemini, and more. AI search is expected to overtake traditional search within the next few years. AthenaHQ fills the gap with a system to measure visibility, identify what AI engines cite and recommend, and help your team improve content and brand presence for AI-first discovery. Team of former product manager on Google Search's information acquisition team, Deepmind Generative Media team, and ChatGPT superusers.
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.
AthenaHQ 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 |
|---|---|---|---|---|
| Rankai AI-Native Agency for Organic Growth (SEO & GEO) | AI / ML | — | — | 80% |
| Maintouch Drive leads with SEO and AEO. | AI / ML | — | — | 78% |
| Andi AI Search for the Next Generation | AI / ML | — | — | 77% |
| Writesonic Track & Boost Your Brand’s Visibility in AI Search | AI / ML | — | — | 77% |
| Siftly Get your brand discovered and recommended by ChatGPT | AI / ML | — | — | 77% |
| Branch AI AI Overview Search, as a Service | AI / ML | — | — | 76% |
| Wildcard AEO/GEO for E-Commerce and Retail | AI / ML | — | — | 75% |
| Phind AI search engine | AI / ML | — | — | 74% |
See where AthenaHQ sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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