Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2024 · https://unusual.ai
Diligence memoA one-page analyst read on Unusual — recommendation, valuation, rhythm, risks.→Unusual: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Unusual is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2024. 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”
Market to AI agents
AI agents are the newest audience brands need to speak to, but go-to-market teams don't have the tools to understand how they form opinions or make decisions. Unusual helps brands in the Fortune 100 and scale-ups like Change.org and Astronomer drive more sales and win more market share by shifting how AI models perceive their offerings. We work closely with every brand to (1) identify the root cause of AI misperception, (2) align on marketing, sales, and product strategies that appeal to agents, and (3) build infrastructure and content that makes their strongest proof more legible to agents. Our methodology centers on applying black-box interpretability techniques to AI agents like ChatGPT and Claude to understand how they form opinions about a brand and its competitors. Seeing the *why* behind each opinion gives us the ability to create targeted interventions that change them.
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.
Unusual 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 |
|---|---|---|---|---|
| Siftly Get your brand discovered and recommended by ChatGPT | AI / ML | — | — | 80% |
| Kinect The AI-Native Commerce Stack | AI / ML | — | — | 78% |
| Nessie A shared context layer for you, your team, and your agents. | AI / ML | — | — | 78% |
| Promoted.ai Dramatically better search and ads for marketplaces | AI / ML | — | — | 77% |
| Perplexity AI, Inc. | AI / ML | Series B | $390.6M | 76% |
| Expected Parrot Simulate your customers with AI agents | AI / ML | — | — | 76% |
| Sprites The AI performance marketing agent for entrepreneurs and growth teams | AI / ML | — | — | 76% |
| JustAI Agentic Marketing Platform | AI / ML | — | — | 76% |
See where Unusual sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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