Companies

Auxos

useauxos.com

Auxos builds AI customer twins for teams to simulate customer decisions before launching products, campaigns, or pricing.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 7h ago
AI / MLAI ApplicationB2B SaaS

About

Auxos builds 1:1 AI customer clones grounded in interviews with real people, giving marketing, product, and research teams an always-on simulated audience. Customers use the platform to test surveys, messaging, creative, pricing, product concepts, and user flows in minutes rather than waiting weeks for traditional research.

Market

Auxos competes in AI-powered market research and synthetic-audience software, positioning itself as a faster and more affordable alternative to conventional surveys, focus groups, and research panels. Its differentiation is the use of individually grounded AI customer twins—created by sourcing and interviewing real people in a target ICP—combined with always-on, population-scale testing that can return quantitative and qualitative insights in minutes.

Target Customers

Auxos targets marketing, product, and research teams at companies that need frequent customer and market validation, especially small and midsize businesses for which traditional surveys, panels, and interviews are too costly or slow. Its audience can be consumer or B2B organizations across industries such as consumer goods, construction, finance, and healthcare.

At a Glance

Problem

Auxos addresses the high cost and slow turnaround of conventional market research. Surveys, panels, and focus groups can take weeks to recruit, moderate, and analyze, making them impractical for many routine product and marketing decisions. The economic downside is potentially large: a poorly received price change, an ineffective ad campaign, or a website that fails to convert can cost a company millions.

The core use case is testing everyday customer-facing decisions before they reach the market. Marketing, product, and research teams can evaluate ad creative, messaging, pricing, landing pages, product concepts, and user flows without waiting weeks for a small sample of respondents.

Product / Service

Auxos combines a managed research process with an always-on software platform. It works with a company to define its ideal customer profile and research questions, recruits real people who match that profile, interviews them, and uses those interviews to create one-to-one AI customer clones grounded in individual respondents. Auxos says an audience can typically be sourced and stood up in about a week once the criteria are defined.

Once deployed, the customer can field surveys, test concepts, compare messages, and run pricing or product-flow experiments against the simulated audience. The platform returns quantitative results alongside qualitative explanations of why the audience responded as it did, with the ability to drill into particular people or segments. Auxos claims this changes research from a two-to-six-week process with samples of roughly 50–100 people into results in minutes with audiences of 1,000 or more, at a fraction of traditional research cost.

Market

Auxos competes in the emerging AI market-research and synthetic-audience category, positioned between traditional research panels and software for simulated customers or respondents. Adjacent competitors include PersonaPanels, Synthetic Users, and C5i’s Synthetic Audiences, all of which describe AI-generated personas or respondents for concept, advertising, messaging, pricing, or broader consumer research. Auxos’s differentiating claim is that each clone is grounded in a real, sourced and interviewed person from the customer’s target audience rather than being generated solely from generic or public data.

The company is very early but shows initial commercial momentum. Y Combinator lists Auxos as an active Spring 2026 company founded in 2026, and Crunchbase identifies it as YC-funded through a pre-seed round. Shortly after launch, Auxos said it had more than 50 demos booked and was onboarding customers across consumer, construction, finance, healthcare, and other industries. The public materials reviewed do not disclose ARR, revenue, a quantified paying-customer count, or named customer case studies, so the evidence supports early traction rather than demonstrated scale.

Founders & Leadership

Ashton DanielFounder
CEO
Jerry WuFounder
CPO
Kerry LuFounder
CTO

Funding History

2026-03
Seed (Crunchbase labels it Pre-Seed)$125K

Y Combinator

Recent News

2026-06-24
Auxos - The YC Tier List

The YC Tier List profiles Auxos as an active Spring 2026 B2B marketing-research company building digital-twin audiences. It describes Auxos as using first-party human data, with one real person behind each twin, to provide population-scale research insights in minutes.

2026-06-10
Top Marketing Tech Startups in YC P26

The Silicon Valley Post included Auxos among YC P26 marketing-technology startups, describing AI customer twins built by sourcing and interviewing people in a company's ideal customer profile. The article says Auxos provides an always-on panel for rapid insights into product, pricing, and positioning decisions.

2026-05-13product
Launch YC: Auxos: Simulate every decision before it reaches a real customer | Y Combinator

Y Combinator's launch post introduced Auxos's AI customer-clone product for marketing, product, and research teams. The product creates 1:1 replicas from sourced and interviewed ideal-customer-profile participants and lets teams test ads, landing pages, pricing, and other hypotheses at scale.

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Business Model

Auxos appears to use a demo-led B2B model, selling access to its AI customer-simulation platform and related audience-building and research engagements. The company publicly invites prospects to book demos and describes working with customers to define audiences, recruit and interview respondents, and deploy always-on research audiences; public pricing is not disclosed.

Products

AI customer-twin platform for building 1:1 replicas of real customersCustom, always-on AI customer panels for defined ICPs and niche audiencesResearch simulation for packaging, advertising, product-concept, pricing, messaging, and other hypothesis testsQuantitative survey results with qualitative reasoning from simulated customer audiences

Tech Stack

AI customer-clone and digital-twin modelingFirst-party human-data sourcing and interview groundingSynthetic audience simulation for surveys and interviewsQuantitative and qualitative insight generation

Competitors

Delve AI
Synthetic Users
Aaru
Evidenza
Lakmoos
OpinioAI