CoLoop is the AI qualitative analysis platform for modern research teams. It provides an end-to-end workflow for recording, uploading, analysing and synthesising interviews, surveys and other qualitative material into rigorous, evidence-backed insights you can publish to stakeholders – while keeping researchers in control of interpretation and strategic direction.

CoLoop works with any platform, format or tool, bringing new and historical research together in one consistent, verifiable place. Teams can connect insights across projects, avoid repeating work, and access their foundational research whenever they need it. Every AI-generated insight is linked to the underlying evidence through citations, ensuring transparency and validation.

Over 400 research teams – from leading agencies to global enterprises –  trust CoLoop to bring AI into their qual workflows, delivering higher quality reports up to 70% faster with minimal disruption to existing processes.

Key capabilities:

• AI-powered analysis — identify patterns, themes, and insights across qualitative research in minutes.
• Data integrations — upload research in multiple formats and languages, connect third-party tools, and use custom APIs.
• Centralised research repository — bring past and present research together in one searchable source of truth.
• Cross-project analysis — explore insights across multiple studies and connect findings over time.
• Evidence-backed insights — trace AI-generated findings back to the original research through citations.
• Human-led, AI-powered — scale analysis while researchers retain control over interpretation and strategic direction.
• Enterprise security — SOC 2 and GDPR compliant, with PII masking and secure, controlled workspaces.

Use Cases:

• Focus groups, interviews & UX research — Turn every moderated session into clear, evidence-backed findings: what participants say, and what it means across the group.
• Community data & diaries — Turn ongoing, longitudinal community input into structure insight without the manual slog.
• Open-ended surveys — Analyse thousands of free-text responses at scale, with the nuance closed questions miss.
• Concept / stimulus testing & evaluative research — Compare multiple concepts in one study, with or without a deck. Analyse reactions across 10-30 hours of focus groups, interviews or online qual where respondents react to creative stimulus.
• Gameplay testing — Analyse playtest sessions to see how players actually experience your game, not how you assumed they would.
• Multi-market research — Compare markets via segments, analyse in native language.
• Meta-analysis & longitudinal — Combine projects into one dataset and track how thinking evolves over time.
• Mixed-method research — Bring open-ends, community data, and uploads alongside your qual.
• In-home / usability research — Understand how customers discover and use products in real-life settings.

Who CoLoop Is for:

• In-house teams — Centralise research and unlock historical insights.
• Agencies — Analyse research faster and deliver evidence-backed reports.
• Research Ops — Standardise and streamline research management.
• Independent researchers — Take on more projects without adding headcount.