Opini.ai is an AI-assisted survey engine at its core — able to understand open-ended answers, route by meaning and probe with the depth of a qualitative researcher.
Purpose-built assistants live inside the platform, so you move from research question to decision without losing control of the method.
Your AI research designer.
Ask for a change in plain language and Architect makes it in the project. It writes and reorders questions, adds probes, tightens screeners, defines quota cells and sets up sample routing — and tells you exactly what it changed.
Add, reorder, reword and add probes
Define cells and targets
Panel routing and sample setup
Theme colours and branding
Your AI research analyst.
Ask a question about your data and get an answer with the chart behind it. Lens reads distributions, splits results by a second question and keeps context, so “now by age” just works. It reads results only — it never changes the project.
How one question breaks down
Split by region, age or any question
Conversational, context-aware analysis
Describe the report you want.
Say “make me a useful dashboard” and one is built from your live results — metrics, charts and filters. Then refine it the same way: move the filter to the top, swap a chart type, add completes per day.
Modules chosen from real results
Reorder, retype and filter in words
Updates as fieldwork continues
A respondent tried to speed-run the screener with keyboard mash. A traditional engine would have accepted the input, counted a complete and passed the noise to data cleaning.
The Opini agent understood that the answers were not answers. It clarified, gave fair chances to respond, then applied the project’s termination rule.
The session never enters quota or fieldwork totals.
Low-effort respondents are not paid for unusable data.
Noise is stopped before it reaches the dataset.
Traditional routing waits for a coded answer. Opini.ai can understand a natural response as it is written and decide what should happen next.
In this restaurant study, the engine checks whether the respondent mentioned the cuisine. If they did, it probes that specific detail. If they did not, it introduces the topic naturally — without forcing every respondent through the same script.
Route from themes, intent and meaning in open text.
Carry the respondent’s own details into the next question.
“Tell me about your most recent restaurant experience.”
Synthetic data is becoming an increasingly important part of market research. Not as a replacement for real respondents, but as a way to validate findings, test assumptions and explore scenarios faster.
With one click, you can bring synthetic respondents into a live Opini.ai project, run them through the same AI survey engine and compare the outputs against real fieldwork as it arrives.
Generate synthetic respondents to test questionnaires and routing before launch.
Check whether expected patterns hold before committing sample budget.
Benchmark synthetic outputs against real fieldwork as it arrives.
No subscriptions or seat fees. Every response includes the AI survey engine, adaptive follow-ups and built-in analysis.
No commitment, no minimum, no subscription
Pricing shown should be confirmed before launch.
Run the full Opini.ai survey and analysis stack inside your own environment when data sovereignty and operational control cannot be compromised.
Responses, transcripts and model inference remain within your estate, while research teams keep the same adaptive interviewing and AI analysis workflow.
Keep survey data, transcripts and inference inside your own cloud or data centre.
Use your identity, access, encryption and audit standards.
Architect, the AI survey engine and Lens remain available on-premise.
Generate findings and dashboards without moving data outside your environment.
Design it with Architect, run it through an AI-native engine and understand it with Lens.
