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OpinioAI

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OpinioAI: Instant customer insights with synthetic personas, AI focus groups, and hybrid research.

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#AI#research platform#synthetic data#market research#customer insights
Inputs: text, image, video, fileOutputs: text, file
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Saas
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About OpinioAI

OpinioAI is an innovative research platform that helps researchers gather the information they need quickly and easily. Powered by advanced AI language models, it provides users with access to a wealth of data, opinions, and insights to support their research. It’s intuitive, fast, and reliable, making it the ideal tool for any researcher seeking to make their work more efficient.OpinioAI is perfect for any researcher looking to save time and get the most out of their research. Its AI capabilities make it simple to find the answers they need, while its scalability ensures that no matter the complexity of the project, they’ll have the resources they need. With OpinioAI, researchers can access the data they need quickly and easily, allowing them to focus on the more creative aspects of their work. At OpinioAI, we understand the importance of getting the right information for your research.

Key Features

Synthetic Persona Builder with detailed attributes
Hybrid research combining real and synthetic data
AI‑moderated synthetic focus groups and interviews
Instant insights and interactive feedback on queries
Upload and analyze existing datasets, files, and transcripts
Evaluate creatives: messages, value propositions, ads, and videos
Define and survey synthetic market segments at scale
Run large‑scale synthetic questionnaires for segmentation
Flexible plans, credits, and choice of models
Fine‑tuning with user‑uploaded research data

Pros & Cons

Pros
  • Appears to deliver insights within hours, drastically faster than traditional research
  • Claims 90-95% cost reduction compared to traditional methods based on website content
  • Free starter credits (20) offer a risk-free entry point; exact limits should be verified
  • Synthetic respondents provide consistent, unbiased responses free from fatigue
  • Scalable: can run thousands of surveys or multiple focus groups simultaneously
  • Hybrid functionality allows integration of real data for increased reliability
Cons
  • Free tier limited to 20 starter credits; ongoing usage costs are not publicly listed
  • Output quality depends heavily on persona definitions and the underlying LLM accuracy
  • Synthetic data may not fully capture human nuance or unexpected insights in all cases
  • Requires internet access and a compatible browser; no standalone desktop app mentioned
  • Validation of synthetic findings with real data may be necessary for high-stakes decisions

Best For

Marketers: Test value propositions, headlines, and ad concepts with synthetic personas before launch.Product managers: Evaluate feature ideas and onboarding flows using AI‑moderated synthetic interviews.Founders: Explore new geographic or demographic markets with configurable synthetic segments.UX researchers: Run rapid qualitative sessions and synthetic focus groups to refine prototypes.Insights analysts: Upload surveys or transcripts to auto‑analyze and extract segment‑specific insights.Brand teams: Compare messaging resonance across different persona segments instantly.Pricing strategists: Conduct synthetic discussions to gauge perceived value and price sensitivity.Agencies: Deliver fast client insight reports using hybrid (real + synthetic) research.Academic researchers: Generate respondent data to support studies when recruiting is difficult.Content teams: Evaluate scripts, visuals, and positioning from the lens of target audiences.

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FAQ

How is SYMAR different from traditional market research?
SYMAR changes three core constraints: time (results in hours instead of 2-6 weeks), cost (90-95% more cost-effective by eliminating recruitment agencies, incentives, and facility rentals), and scale (can instantly survey thousands of respondents or run dozens of focus groups simultaneously). Synthetic personas provide consistent, unbiased responses free from fatigue and dropout.
Are synthetic respondents actually reliable?
Yes. SYMAR builds personas using large-scale foundational models trained on diverse datasets, behavioral psychographic data refined with large-scale behavioral models, and continuous learning. The models simulate realistic human decision-making, biases, and preferences. Results consistently align with real-world market dynamics.
What kinds of research can I run on SYMAR?
SYMAR supports surveys, interviews, focus groups, creative evaluation (images, videos, text), and persona-based workflows. It is suitable for market research, product testing, brand messaging, pricing studies, and academic research.
What is a Synthetic Focus Group?
SYMAR creates a virtual room with multiple synthetic personas and an AI moderator. The moderator guides the discussion, asks follow-up questions, and manages group dynamics. You receive a full transcript and analysis of the interaction.
How do Credits work?
A credit represents a unit of intellectual work performed by the AI. For example, asking a persona a question or receiving a survey response costs 1 credit. Asking a more powerful model with additional reasoning costs 3 credits. Creative analysis of complex inputs like videos or large PDFs costs more.
What is the difference between the SYMAR Project and SYMAR Program?
SYMAR Project (€99/month) is designed for individual researchers or teams running a proof of concept or simple study. It includes access to all foundational models, standard segments, and is capped at 400 credits/month. SYMAR Program (starts at €199/month) is for enterprises building a proprietary research engine, with custom models, single-tenant infrastructure, and flexible credit limits.