The problem
Lakmoos built proprietary neuro-symbolic AI that simulates survey respondents for market research. The platform needed to communicate a complex, category-defining technology to enterprise buyers (research directors, CMOs) who are inherently skeptical of AI-generated insights, differentiate from generic ChatGPT-based competitors, and convert visitors into pilot customers at a 10K EUR entry point.
Our solution
We positioned Lakmoos around three measurable pillars: accuracy (98%+ benchmark scores across 20 studies), speed (overnight research vs. 4-8 weeks), and cost (10x cheaper than traditional fieldwork). The website architecture walks enterprise buyers through the technology, validation methodology, Skoda case study, and a clear pilot onboarding path. Every section is built to address the core objection: "Can AI really replace human respondents?"
Problems we solved
Traditional market research requires 4-8 weeks of fieldwork: recruiting respondents, running surveys, processing data. Product and marketing teams cannot iterate fast enough to keep up with market shifts.
Lakmoos uses proprietary neuro-symbolic AI (not LLM prompting) to simulate survey respondents. Full-scale research runs overnight. The platform answers 20M+ questions per week across all client panels, supporting both surveys and AI-driven interviews.
Research cycles compressed from weeks to under 24 hours. Teams run research on demand instead of quarterly, enabling continuous insight loops tied to product and campaign cycles.
A single traditional survey costs $5,000-50,000 depending on audience size and complexity. Budget constraints limit research frequency -- most teams can only afford a few studies per year.
AI-simulated respondents eliminate recruitment, incentive, and fieldwork costs entirely. Clients run unlimited surveys from 4K EUR/month. A full pilot cycle (500 survey questions + 200 interview questions for 2-5 users) starts at 10K EUR.
Up to 90% cost reduction per study, validated by the Skoda pilot where teams cut research spend by 90%. Organizations shift from rationing research budgets to running unlimited studies across departments.
Hard-to-reach segments (Gen Z, B2B decision-makers, niche demographics) are expensive and slow to recruit through traditional panels. Small sample sizes lead to unreliable data and weak statistical significance.
Lakmoos builds custom AI panels that simulate any audience segment on demand. Clients drill into niche groups, expand sample sizes instantly, and ask unlimited follow-up questions without re-recruiting. International surveys run at the same price and timeline as domestic ones.
50+ enterprise teams onboarded onto the platform. Skoda ran 200+ surveys during their pilot across multiple countries simultaneously, with one expert team handling in-house research for multiple departments.
Enterprise research teams distrust AI-generated insights. Generic LLM-based tools produce hallucinated data that fails validation against real survey results. No established benchmark methodology exists for synthetic respondent accuracy.
Lakmoos uses neuro-symbolic AI benchmarked against real human survey data across 15+ large-scale validation projects. The system integrates clients' private data layers (CSV, CRM, analytics -- up to 10 datasets per pilot) to build custom reasoning models. All data processing is GDPR-compliant and SOC2-friendly with white-label deployment available.
Over 98% similarity score achieved across 20 client benchmark studies in 2025. 1,000+ surveys run by clients to date. ESOMAR AI Solution Compliance certified.
Measurable outcomes
Aldy understood the challenge of selling AI to research professionals who are naturally skeptical. The website they built communicates our technology with the right balance of scientific rigor and commercial clarity.
Ready to build something that drives real results? Let us show you what we can do.