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Synthetic Respondents
Validate Business Ideas Before You Build
Cyprus
Market: Artificial Intelligence
Project stage: Prototype or product is ready
Market: Artificial Intelligence
Project stage: Prototype or product is ready
Idea or High Level Concept
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.
Territory of the product or service implementation
North America, Belarus, Poland, Estonia, Switzerland, Sweden, France, Austria, Albania, Andorra, Belgium, Bulgaria, Bosnia and Herzegovina, United Kingdom, Hungary, Germany, Greece, Denmark, Ireland, Iceland, Spain, Italy, Latvia, Lithuania, Liechtenstein, Luxembourg, Macedonia, Malta, Moldova, Monaco, Netherlands, Norway, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Finland, Croatia, Montenegro, Czech Republic
Traction and Current Status
• 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
• 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
Problem or Opportunity
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.
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.
Solution
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
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
Customer Segments and Market
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.
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.
Revenue Streams and Cost Structure
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.
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, Chanells, Metrics
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.
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.
Competitors and Existing Alternatives
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.
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.
Advantages or differentiators
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.
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.
Risks
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.
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.
Incubation/Acceleration programs accomplishment
Grishin Robotics Accelerator (2026)
TAAC (Trans-Atlantic Angel Conference) Quarterfinalist (2026)
TAAC (Trans-Atlantic Angel Conference) Quarterfinalist (2026)
Presence of invention or patent
No
Money will be spent on
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
• 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
Offer for investor
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.
Equity allocation depends on investment size and participation in the round.
$360,000 already soft-committed.
Team or Management
Presentation
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