
CoLoop is an AI-powered qualitative research platform that lets teams plan, recruit, interview, and analyze in one place, replacing fragmented tool stacks. The platform provides verifiable analysis with evidence-backed insights, supporting 100+ languages and serving 400+ research teams. It includes features like Thought Partner Chat, which reads across full datasets to deliver accurate citations and representative evidence.
Funding
Funding not disclosed
Founders
Product
Problem
Qualitative research teams rely on fragmented tool stacks for recording, transcription, analysis, and reporting, which creates inefficiencies and makes it difficult to verify AI-generated insights. Generic AI tools often hallucinate quotes, inflate frequency language, and miss minority perspectives, forcing researchers to manually check transcripts and redo analysis by hand.
Solution
CoLoop provides an end-to-end qualitative research platform that unifies planning, recruitment, interviewing, and analysis in one place. The platform records sessions, generates high-fidelity transcripts, and applies AI-powered analysis that keeps evidence behind every output. Its Thought Partner Chat was rebuilt with researchers to deliver accurate citations, representative evidence across the full dataset, and analysis bounded by scoped participant segments or transcript sections. Researchers can ask questions in plain language, get structured columns of insight, and verify claims with one click to the underlying evidence, reducing the time spent on validation while preserving nuance and minority perspectives.
Target Audience
Primary customers are qualitative research teams in B2B, healthcare, pharma, consumer insight, product, and usability research, including agencies and in-house teams at enterprises that conduct interviews, focus groups, surveys, and community research.
Features
- Universal integrations that import qualitative data from existing tools in minutes, including CSV, Salesforce, Mixpanel, and PostHog
- Evidence Panel that links every insight directly to its source transcript or video clip for one-click verification
- Thought Partner Chat with improved citation accuracy (1.9x more strong citations, 3.3x fewer weak citations) and full-dataset reading on every query
- Analysis Grid providing a bird's-eye view across interviews, filterable by participant or segment
- Multilingual transcription and analysis in 100+ languages, with collaboration in English
- CoLoop Memory, a searchable intelligence layer that persists across projects for meta-analysis and longitudinal tracking
- Automatic tagging of video and transcript against concept or stimulus slides for concept testing studies
- SOC 2 and GDPR compliant with PII masking and no model training on customer data