Problem

CPG, FMCG, retail, and marketing teams must make expensive, high-consequence decisions about pricing, positioning, packaging, campaigns, and new products, but traditional focus groups and research panels are slow, costly, and difficult to run across multiple markets. A conventional study can take four to eight weeks and cost $15,000–$80,000 per round, so research is often limited to occasional checkpoints rather than used continuously throughout product development. By the time findings arrive, the market may have moved and teams may have already committed to untested assumptions.

The killer use case is rapid, multi-market concept and campaign testing before launch. Foresight’s Caudalie case study describes replacing traditional focus groups with approximately 15 tests per week, producing results in under 10 minutes and reducing the cost per insight by 25x. This enables teams to test more alternatives, identify local or niche-market differences, and eliminate weak ideas earlier.

Product / Service

Foresight is an AI-powered consumer-research platform that creates simulated consumers, or digital twins, whom teams can survey, interview, and test in minutes. Its personas are built from census demographics, socioeconomic profiles, purchase behavior, values, and other attitudinal signals across 47 countries. Foresight says it owns the data pipeline that constructs each persona, while the language model’s role is to speak consistently as that data-grounded persona rather than generate generic market-research answers.

The product is delivered as a self-serve subscription, with entry and growth plans priced at $479 and $879 per month, alongside an enterprise offering with bespoke segments, unlimited access, serviced studies, and enterprise security. The value proposition is faster and more frequent research at substantially lower cost: the platform reports results in minutes, supports unlimited reruns, provides confidence levels, and is benchmarked against real-world research. Foresight reports more than 90% accuracy relative to the test-retest ceiling of traditional research, while acknowledging that synthetic consumers are not appropriate for every use case, such as physical product testing or safety-critical decisions without human validation.

Market

Foresight competes in AI-powered market research and the emerging synthetic-consumer or synthetic-respondent category, focused initially on CPG and adjacent consumer businesses. Its most immediate competitive alternative is the incumbent market-research stack of traditional panels and focus groups, which Foresight positions itself as replacing or augmenting. The company’s stated buyers are marketing, advertising, and insights teams at Fortune 500 companies, FMCG leaders, retailers, and technology companies; the reviewed materials do not identify a specific named direct rival.

The company appears early-stage but commercially active rather than merely pre-revenue. It was founded in 2025, is listed by Y Combinator as an active Spring 2026 company with a two-person team, and offers both paid subscriptions and enterprise engagements. It cites Caudalie as a customer that replaced 100% of its traditional consumer testing, and reports a Fortune 500 benchmark showing 95% accuracy against fieldwork, alongside a 0.88 Lin’s concordance correlation coefficient. No public revenue figure was found, so the available evidence supports early commercial traction but not a quantified revenue scale.