Companies · AI / ML

WildcardWinter 2025Active

San Francisco · CA, USA · AI / ML · founded 2025 · https://wild-card.ai

Diligence memoA one-page analyst read on Wildcard — recommendation, valuation, rhythm, risks.
Total raised · real
0
Rounds
Latest step-up
Top 39%
Sector rank · raised
Latest stage · inferred

Wildcard: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

Where it sits in AI / ML

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).

Artificial IntelligenceE-commerceGenerative AIMarketingRetail Techai/mlecommerce/retail
Find Wildcard online

As reported in public records reported — not modeled.

US
Jurisdiction
Amount raised vs valuation, by round

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.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
Base estimate est.
Conservative case
Upside case
Modeled post-money

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.

Financing rhythm
Avg between rounds
Capital velocity
On record since
First round
0
Rounds on file
How it compares to the market

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.

Total raised — vs sector median (real $, all stages)
This company
Sector median$4.7M
Modeled value — vs sector median (estimate, all stages)
This company
Sector median$27.9M

Raised more than 62% of sector peers (real $). Modeled value above 62% of peers (estimate).

Full financing history

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.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
Modeled next raise
Modeled next size est.
Last step-up
Capital velocity

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.

Registry & provenance

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.

United States
Country of record
US
Jurisdiction
Similar companies

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.

CompanySectorStageRaised · realValue · estWhy similar
AccordAI / MLsame sector
AcelyAI / MLsame sector
AedilicAI / MLsame sector
AemonAI / MLsame sector
Affogato AIAI / MLsame sector
AftercareAI / MLsame sector
Agentic LabsAI / MLsame sector
Ai AibaAI / MLsame sector
Semantically similar

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.

CompanySectorStageValue · estMatch
Namecard.ai
AI-powered business matchmaking
AI / ML79%
Kinect
The AI-Native Commerce Stack
AI / ML78%
Closera
AI Shopping Agent for Your Ecommerce Store
AI / ML78%
Glisten AI
Glisten AI automatically categorizes and tags e-commerce product data.
AI / ML77%
Promoted.ai
Dramatically better search and ads for marketplaces
AI / ML77%
Anglera
AI-Powered Product Data Enrichment
AI / ML76%
Pollinate Inc.
AI Agents for the supply chain.
AI / MLPre-Seed$5.5M76%
Unusual
Market to AI agents
AI / ML76%
Frequently asked
What does Wildcard do and where is it based?
Wildcard operates in the AI / ML sector, based in San Francisco, CA, USA. AEO/GEO for E-Commerce and Retail
Explore related

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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