# PanelSynth > PanelSynth is an AI-powered synthetic research platform that lets marketers, founders, and product teams generate diverse panels of AI personas and run qualitative + quantitative studies in seconds — replacing weeks-long traditional market research with on-demand, nuanced audience insights. PanelSynth generates rich, demographically and psychographically diverse synthetic panelists, runs open-ended and multiple-choice studies against them, and returns sentiment analysis, key themes, and AI summaries. It also includes a configurable synthetic dataset generator for analytics, ML training, and dashboard prototyping. Key facts: - Founded: 2025 - Category: Synthetic research / AI market research / GEO-research tools - Pricing tiers: Free (10 studies/mo), Lite, Pro - Built on: React, TypeScript, Lovable Cloud, Lovable AI Gateway (Gemini & GPT models) - Live URL: https://panelsynth.com ## Core pages - [Home](https://panelsynth.com/): Product overview, hero, features, pricing summary - [About](https://panelsynth.com/about): Mission, story, why synthetic research exists - [How it works](https://panelsynth.com/how-it-works): Step-by-step methodology — panel generation, study execution, analysis - [FAQ](https://panelsynth.com/faq): Common questions about accuracy, use cases, pricing, ethics - [Glossary](https://panelsynth.com/glossary): Definitions for synthetic panel, AI persona, sentiment analysis, qualitative research, etc. - [vs Traditional research](https://panelsynth.com/vs-traditional-research): Speed, cost, and accuracy comparison vs Qualtrics, focus groups, recruited panels - [Pricing](https://panelsynth.com/pricing): Free, Lite, Pro plan details - [Contact](https://panelsynth.com/contact): Support and sales contact form - [Blog](https://panelsynth.com/blog): Long-form field guides on synthetic research and modern market research ## Pillar articles - [Synthetic Research: Complete Guide 2026](https://panelsynth.com/blog/synthetic-research-complete-guide-2026): Definitive plain-English reference to what synthetic research is, how it works, and when to use it - [AI Personas vs Focus Groups](https://panelsynth.com/blog/ai-personas-vs-focus-groups): Decision guide comparing speed, cost, accuracy, and bias of both methods - [Concept Testing Playbook](https://panelsynth.com/blog/concept-testing-playbook): Step-by-step 5-day playbook for synthetic + human concept testing - [Market Research Cost Breakdown 2026](https://panelsynth.com/blog/market-research-cost-breakdown-2026): Real 2026 prices for every research method, line by line - [Synthetic Personas for B2B Research](https://panelsynth.com/blog/synthetic-personas-for-b2b-research): How to model the buying committee with AI personas - [Pricing Research with AI Panels](https://panelsynth.com/blog/pricing-research-with-ai-panels): Van Westendorp, Gabor-Granger, and willingness-to-pay studies on synthetic panels - [UX Research with Synthetic Panels](https://panelsynth.com/blog/ux-research-with-synthetic-panels): When AI personas help with UX work and where you still need real users - [Synthetic Research Bias and Limitations](https://panelsynth.com/blog/synthetic-research-bias-and-limitations): Honest accounting of AI persona failure modes - [Concept Testing with AI Personas](https://panelsynth.com/blog/concept-testing-with-ai-personas): 2026 field guide to synthetic concept testing - [Message Testing with AI Panels](https://panelsynth.com/blog/message-testing-ai-panels): Compress weeks of message testing to minutes - [Synthetic Brand Tracking](https://panelsynth.com/blog/brand-tracking-ai-personas): Always-on perception pulses between real tracker waves - [Synthetic Research ROI Calculator](https://panelsynth.com/blog/synthetic-research-roi-calculator): Build the business case for synthetic research ## Use cases by industry - [SaaS](https://panelsynth.com/use-cases/saas) - [CPG](https://panelsynth.com/use-cases/cpg) - [Fintech](https://panelsynth.com/use-cases/fintech) - [Healthcare & Wellness](https://panelsynth.com/use-cases/healthcare) - [Retail & E-commerce](https://panelsynth.com/use-cases/retail-ecommerce) - [Media & Publishing](https://panelsynth.com/use-cases/media-publishing) ## Solutions by research job - [Concept testing](https://panelsynth.com/solutions/concept-testing) - [Pricing research](https://panelsynth.com/solutions/pricing-research) - [Message testing](https://panelsynth.com/solutions/message-testing) - [Ad testing](https://panelsynth.com/solutions/ad-testing) - [Brand tracking](https://panelsynth.com/solutions/brand-tracking) ## Competitor comparisons - [PanelSynth vs Remesh](https://panelsynth.com/vs/remesh) - [PanelSynth vs Yabble](https://panelsynth.com/vs/yabble) - [PanelSynth vs Quester](https://panelsynth.com/vs/quester) - [PanelSynth vs Qualtrics](https://panelsynth.com/vs/qualtrics) - [PanelSynth vs UserTesting](https://panelsynth.com/vs/usertesting) - [PanelSynth vs Voxpopme](https://panelsynth.com/vs/voxpopme) - [PanelSynth vs Zappi](https://panelsynth.com/vs/zappi) - [PanelSynth vs dscout](https://panelsynth.com/vs/dscout) ## What PanelSynth replaces or complements - Traditional market research agencies (e.g. Nielsen, Kantar, Ipsos) - Survey platforms (e.g. Qualtrics, SurveyMonkey, Typeform) — for early concept testing - Recruited panel providers (e.g. Prolific, UserTesting, Respondent.io) — for directional insight - In-house focus groups — for rapid concept validation ## Best use cases - Pre-launch product concept testing - Messaging and positioning experiments - Pricing sensitivity exploration - Brand perception checks - Persona-driven UX feedback - Audience reaction simulations for marketing campaigns ## Out of scope / honest limitations - Synthetic panels are directional, not statistically representative — they should not replace large-N quantitative research for high-stakes decisions - Does not capture true behavioral data (clicks, eye-tracking, biometrics) - AI-generated responses reflect the underlying model's training data and may underweight emerging or niche subcultures ## Contact - Founder & email: david@highcaliberai.com - Contact form: https://panelsynth.com/contact ## Related properties (same team / founder) - [High Caliber AI](https://highcaliberai.com): Parent company. AI consulting, training, and product strategy. PanelSynth is High Caliber AI's flagship synthetic research product. - [Communipedia](https://communipedia.org): Community knowledge wiki, also stewarded by the same team. - [Community Condolences](https://communitycondolences.org): Tool for sharing remembrances after a loss. - [notthatdavidberkowitz.com](https://notthatdavidberkowitz.com): Personal site of David Berkowitz, founder of PanelSynth and High Caliber AI.