MRS Award MRS Operations Awards 2025 Finalist

The AI qualitative research platform for teams who cannot afford distorted data

From discussion guide to executive summary, flowres.io does the grunt work.

AI powered transcription, automated coding, video citations, and agentic analysis. All in one platform.

Why flowres.io is the right AI Qualitative research platform

AI Powered Transcription

Up to 95% accuracy for English and up to 90% for major languages.

19+ Languages

Searchable transcripts across every session.

Custom Vocabulary

Add brand, legal, pharma and specialist terms.

Transcription Editor

Speaker correction, find/replace and PII redaction.

Automated Code Lists

flowres.io reads your discussion guide and generates a code list. Topic-by-topic summaries and an executive summary are ready before the debrief call starts.

Q&A Across Transcripts

Ask a question across every transcript in the project. Get the answer in chat format or a review grid. Every answer shows the verbatim quote it came from.

Side-by-Side Comparison

Compare responses across segments or cohorts in a structured analysis grid. No more toggling between documents.

Agentic Analysis

Use Agentic 5 to plan the analytical approach, act on the data, check outputs, revise where evidence is thin, and get answers with precise quotes and clips attached.

Powered by OpenAI, Claude & Gemini

flowres.io draws on multiple models. No single model's blind spots shape your output.

AI Insight Generation

Draft themes, summaries, and stakeholder answers generated from primary data. The kind of first pass that cuts four days of desk work down to four hours.

Snippet Reels

Sort and tag captured moments to build highlight reels. Evidence for the client, without the full recording.

Video Citations

Every AI answer cites a quote. Click the quote and the video replays from that exact moment. Complete data traceability, every time.

Composed AI Pipelines

Each step in the pipeline checks the previous one. If the answer is not in the transcripts, the platform says so. No fabricated plausibility.

Word & Excel Export

Export to Word and Excel AI generated grids and summaries export directly. Stakeholders who live in spreadsheets do not need to learn a new tool.

Why research teams stay

No Black Box Answers

Every output cites the exact quote and timestamp it came from.

Fieldwork Ready Accuracy

Custom vocabulary for pharmaceutical, legal, media, and other specialist fields.

Reduced Cognitive Load

Automated codelists and summaries cut the toggle, click, repeat cycle that drains analyst time.

Protected Participant Data

PII redaction built into the transcript editor. Not an add-on. Not downstream.

One Platform, Full Workflow

Transcription, analysis, reels, and export in one place. No tool stitching.

24x5 Live Support

Average response time: 31 seconds.

Testimonials

Secure & Compliant Infrastructure

Certified Security

ISO 27001 certification and GDPR-ready infrastructure for enterprise-grade compliance.

Enhanced Privacy

HIPAA-friendly features, including audio-only streams and PII redaction capabilities.

Data Sanctity

AWS-hosted, SSL-certified infrastructure for secure data handling and storage.

We are members of leading market research organizations

The AI Qualitative research platform that puts guardrails before glamour

Evidence-backed AI analysis with complete traceability

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FAQs about AI qualitative research platform

Software that runs live research sessions and applies AI to transcription, coding, and analysis. flowres.io covers both in one workflow so teams are not stitching together a video tool, a transcription service, and a separate analysis layer.

flowres.io uses composed AI pipelines where each step audits the previous one. Every response is traced back to the primary transcript. If the data does not support an answer, the platform flags it.

No. flowres.io handles the manual toil: first pass coding, summaries, and Q&A across transcripts. The researcher drives interpretation, challenges the output, and decides what goes in the report.

OpenAI, Claude, and Gemini, depending on the task. Using multiple models reduces the risk of any one model's gaps shaping your findings.

Yes. Custom vocabulary lists can be added before a session runs for pharmaceutical, legal, media, and other fields where standard transcription models underperform.

Up to 95% for English, up to 90% for other major languages, across 19 plus languages.

The built-in transcription editor includes PII redaction. Researchers remove participant details before any transcript is shared or exported.

Yes. Analysis grids and AI summaries export to Word or Excel directly from the platform.