aid: auxos accessModel: pricing: unknown onboarding: unknown trial: false try_now: false public: false label: Unknown confidence: low source: [] generated: '2026-07-22' method: derived image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/auxos.png name: Auxos description: >- Auxos is an AI-powered customer research platform that builds 1:1 AI clones of a company's real customers to simulate how they respond to business decisions before those decisions ship. The company recruits and interviews real people matching a client's ideal customer profile, then models each participant as an always-on AI avatar grounded in that interview data. Teams use the resulting synthetic audience to test surveys, messaging, ad creative, pricing, and product flows and retrieve population-scale quantitative results plus qualitative commentary in minutes rather than the weeks traditional market research takes. Auxos is a Y Combinator (Spring 2026) company founded by Ashton Daniel, Jerry Wu, and Kerry Lu, targeting marketing, product, and research teams. This profile is maintained by API Evangelist; as of enrichment Auxos publishes no public developer or API surface. url: https://raw.githubusercontent.com/api-evangelist/auxos/refs/heads/main/apis.yml x-type: company x-source: vc-portfolio x-backed-by: - y-combinator x-tier: stub x-tier-reason: portfolio-lead x-yc-batch: Spring 2026 specificationVersion: '0.20' created: '2026-07-17' modified: '2026-07-18' tags: - Company - Market Research - Customer Research - Artificial Intelligence - Consumer Insights - Simulation - Synthetic Data - Y Combinator apis: [] common: - type: DomainSecurity url: security/auxos-domain-security.yml - type: Website url: https://www.useauxos.com - type: Login url: https://www.useauxos.com/signin - type: LinkedIn url: https://www.linkedin.com/company/auxos maintainers: - FN: Kin Lane email: kin@apievangelist.com - FN: APIs.json email: info@apis.io x-enrichment: date: '2026-07-19' status: backfilled pass: local-v1 note: backfilled from .gitignore signal + verified work evidence