Synthetic Respondents

AI customer discovery built on 2M+ hours of proprietary customer interview data, helping entrepreneurs validate ideas and marketing before wasting $100k+ and months building something nobody wants.

• Public launch completed in May2026
• 5 paying customers acquired within 2weeks of launch
• $750k+ qualified SMB sales pipeline
• 3 enterprise pilot projects with NVIDIA, Google, and Intel
• $360k soft commitments secured toward a $650k pre-seed round
• Currently raising a $650k pre-seed round to scale SMB sales and convert enterprise pilots into paid deployments

Startups founders → Marketing Agencies → Enterprise.

We start with founders validating ideas and business hypotheses, expand into continuous market research for SMBs, and ultimately power enterprise customer intelligence systems.

$130B market.

Entrepreneurs need customer insights before investing in products and marketing.

Today they face two bad options:

1) Spend $10k-$65k and wait 2-6 weeks for traditional market research, or

2) skip validation altogether and risk losing $100k+ and months building products and marketing campaigns nobody wants.

They can use generic AI, which is fast but often hallucinates, agrees with user assumptions, and generates plausible-sounding answers without evidence, making it unreliable for business decisions.

Synthetic Respondents is an AI-powered customer discovery platform built on 2M+ hours of proprietary customer interview data and continuously enriched with new customer and partner data.

Users ask a business question, and the platform automatically selects the appropriate research methodology, generates synthetic respondents, runs the study, and delivers insights in minutes.

Every respondent and insight receives a Trust Score based on data quality and evidence coverage.

The result is customer validation that is faster, cheaper, and reliable comparing to genAI

Management & Research Consultancies: McKinsey, BCG, Bain, Ipsos, Kantar, Nielsen.

Research Platforms: UserTesting, User Interviews, Qualtrics, SurveyMonkey, Hotjar.

Customer Discovery & Innovation Consultancies: Strategyn, IDEO, AJ&Smart, Duamentes.

AI Research & Synthetic User Platforms: Synthetic Users, Delphi, Evidenza, Listen Labs, Outset, Dovetail AI.

No Research: founder intuition, internal assumptions, ad-hoc customer conversations.

vs Management & Research Consultancies (McKinsey, BCG, Ipsos, Kantar): 99% lower cost, results in minutes instead of weeks, continuous self-serve research.

vs Research Platforms (UserTesting, User Interviews, Qualtrics, SurveyMonkey): no recruiting, no incentives, no scheduling, fully automated end-to-end workflow.

vs Customer Discovery Consultancies (IDEO, Strategyn, Duamentes): software scalability replaces manual expert-led research.

vs AI Research Platforms (Synthetic Users, Delphi, Listen Labs, Outset): proprietary dataset built on 2M+ real behavioural responses, trust scoring, enterprise-ready architecture.

vs No Research / Founder Intuition: evidence-based decisions before investing months of time and significant capital.

SMB SaaS subscriptions (£299/month).

Enterprise annual licenses for private deployments and customer data training.

Additional usage-based revenue.

~$12 marginal cost per study, enabling software-scale margins while replacing traditional research projects costing $10k-$65k.

Business Model: One-off studies, SMB subscriptions, enterprise licenses.

Channels: Accelerators, founder communities, agency partnerships, outbound sales, content marketing.

Metrics: 5 paying customers (within 2 weeks), 237 beta users, 678 studies completed, 49% retention, 31 LOIs, 16 pilot discussions, £750k sales pipeline.

1. SMB roll-out
• Convert warm SMB leads into paying customers
• Build repeatable acquisition channels
• Run benchmark and validation studies
• Expand the proprietary dataset and trust infrastructure

2. Enterprise preparation
• Private deployment
• Customer data training
• Synthetic eye-tracking
• Deliver enterprise pilot requirements and convert pilots into paying customers

Raising $650,000 at a £5M pre-money valuation.

Equity allocation depends on investment size and participation in the round.

$360,000 already soft-committed.

Market adoption of synthetic research as a new category.

Need to continuously validate synthetic outputs against real-world research results.

Large incumbents and foundation model providers may enter the market.

Dependence on third-party AI models.

Enterprise sales cycles are longer than SMB sales cycles.

Mitigation: proprietary dataset, trust scoring, continuous validation, enterprise deployment capabilities and focus on rapid market adoption.

Grishin Robotics Accelerator (2026)
TAAC (Trans-Atlantic Angel Conference) Quarterfinalist (2026)