Companies · Energy
San Francisco · CA, USA · Energy · founded 2017 · https://clearbrain.com/
Diligence memoA one-page analyst read on ClearBrain — recommendation, valuation, rhythm, risks.→ClearBrain: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
ClearBrain is one of 69 Energy companies tracked from San Francisco, CA, USA, on record since 2017. By capital raised it ranks mid-pack (ahead of 54% 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”
Causal Analytics for Growth Teams
ClearBrain (YC W18) is a startup building the first self-serve AI platform for growth marketing. We help companies automatically predict and retarget users when they are most likely to purchase. Fortune 1000 companies use ClearBrain’s automated machine learning platform to personalize experiences for hundreds of millions of user predictions - as effectively as Uber or Google. We’re led by the founding engineers of Google Ads and Optimizely’s data infrastructure teams, and backed by investors in Dropbox, Optimizely, and AdMob. We’re a deeply technical team who value humility and customer empathy above all. As a group we’re also pretty good at bowling, D&D, and Rubik’s cubes. We are building an advanced analytics platform with the challenge of making it accessible to a smart, capable clientele of growth experts that demands ease of use, utility, high availability and good responsiveness. You’ll join a startup environment where you'll be exposed to a variety of backend, frontend, machine learning frameworks in a fast-moving company!
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 69 companies in Energy. 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 54% of sector peers (real $). Modeled value above 54% 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.
ClearBrain 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 |
|---|---|---|---|---|---|
| Apollo Atomics, Inc. | Energy | — | — | — | same sector |
| Aravolta | Energy | — | — | — | same sector |
| Archimede | Energy | Seed | $1.6M | $3.1M | same sector |
| Arnergy | Energy | Series A | $9.0M | $95.1M | same sector |
| Atomic Alchemy | Energy | — | — | — | same sector |
| Atomos Nuclear & Space Corp | Energy | Series B | $19.0M | $115.9M | same sector |
| Aurabeat | Energy | — | — | — | same sector |
| BlueLine Grid, Inc. | Energy | Series A | $10.3M | $25.9M | 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 |
|---|---|---|---|---|
| Corvera The context layer for AI-native CPG brands | AI / ML | — | — | 76% |
| Ambral AI for account management and customer success | AI / ML | — | — | 76% |
| Rescale, Inc. High Performance Computing Built for the Cloud | Pharma | Series B | $996.3M | 75% |
| Haystack Delivery Analytics for Software Teams | Developer Tools | — | — | 75% |
| Optimizely, Inc. The first all-in-one operating system for marketing | AI / ML | Series C | $2.0B | 75% |
| Vybe Secure internal apps. Built by AI in seconds. Powered by your data. | AI / ML | — | — | 75% |
| Klaviyo, Inc. Klaviyo unifies marketing and service with its AI-first B2C CRM. Try out omnichannel marketing software, powered by K:AI agents to deliver personalised experiences across email marketing, WhatsApp, and more. | AI / ML | Series D+ | $2.2B | 75% |
| garten Creating workplace wellbeing. | Hardware / Semiconductors | — | — | 75% |
See where ClearBrain sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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