Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2025 · https://wild-card.ai
Diligence memoA one-page analyst read on Wildcard — recommendation, valuation, rhythm, risks.→Wildcard: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Wildcard 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”
AEO/GEO for E-Commerce and Retail
Wildcard is the AEO and GEO platform designed specifically for e-commerce and retail brands. We help merchants improve visibility across AI search and AI shopping platforms like ChatGPT, Google AI Overviews, Gemini, and Amazon Rufus. Wildcard tracks how brands, categories, collections, and SKUs appear across AI search results, identifies visibility gaps, and turns those insights into actions. We use AI agents to enrich product data, generate SEO, AEO, and GEO content, create collection and comparison pages, build FAQs, and improve off-site discoverability across Reddit, YouTube, blogs, and other sources. As AI shopping evolves, Wildcard is building the infrastructure brands need to win in agentic commerce, including support for emerging standards like the Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP).
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.
Wildcard 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 |
|---|---|---|---|---|
| Namecard.ai AI-powered business matchmaking | AI / ML | — | — | 79% |
| Kinect The AI-Native Commerce Stack | AI / ML | — | — | 78% |
| Closera AI Shopping Agent for Your Ecommerce Store | AI / ML | — | — | 78% |
| Glisten AI Glisten AI automatically categorizes and tags e-commerce product data. | AI / ML | — | — | 77% |
| Promoted.ai Dramatically better search and ads for marketplaces | AI / ML | — | — | 77% |
| Anglera AI-Powered Product Data Enrichment | AI / ML | — | — | 76% |
| Pollinate Inc. AI Agents for the supply chain. | AI / ML | Pre-Seed | $5.5M | 76% |
| Unusual Market to AI agents | AI / ML | — | — | 76% |
See where Wildcard sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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