What kind of data can I upload into CoLoop?
  • CoLoop can process a range of unstructured qualitative data including audio and video recordings (with transcription available in 50+ languages), pre-existing transcripts, open-ended survey responses, exports from community platforms, and concept or stimulus decks. The platform is designed to support primary qualitative research and works best with data that can be attributed to individual speakers or participants.
What languages does CoLoop support?
  • CoLoop supports over 50+ languages for transcription and translation. Find the full list here.
Can CoLoop help me write my research reports?
  • CoLoop helps researchers analyze qualitative data by automatically surfacing patterns, themes, and sentiment across transcripts, recordings, and open-ended responses. It links insights directly to source material for easy verification and allows users to organize findings in customizable analysis grids. For reporting, CoLoop makes it easy to extract key quotes, create video and audio clips, and export toplines or structured outputs that can be directly used in presentations and reports.
Can CoLoop summarise documents, slide decks or pdfs?
  • No — CoLoop is designed specifically for primary qualitative analysis. It works best with rich, spoken content like interviews, focus groups, or community discussions where speaker identity and context are clear. Since CoLoop relies on linking insights back to individual speakers and moments in the conversation, it’s not built to analyse static files like documents, slide decks, or PDFs.
What are CoLoop’s Data Security and Privacy Policies?
  • At CoLoop data privacy and security is immensely important to us and we are currently deployed with clients in sensitive areas such as government and healthcare. Although the full list of implemented controls is available on our trust center, some of the most important measures we take to guarantee this include the following:
    • All data is encrypted securely at rest and in transit using AES-256 and TLS or equivalent
    • We are fully compliant with SOC 2, with the certificate available on our trust center
    • Systems are built and configured in line with the industry standards such NIST regulations.
    • Data is stored and processed on machines housed in secure data centres hosted by AWS
    • Data belonging to different customers is logically segregated on our systems
    • We have legally binding agreements in place to protect client information, including Privacy Policy, Data Processing Agreements and NDAs
    • We make it possible for clients to remove unnecessary PII data points before processing to ensure data minimisation
    • Read more here and here
Is my data being used for learning? Where is my data stored?
  • Data is stored and processed on machines housed in secure data centres hosted by AWS.
  • CoLoop Is GDPR compliant.
  • Read more here.
How can I describe CoLoop to my clients?
  • CoLoop is an AI-powered analysis tool designed to streamline qualitative research by efficiently processing interviews, focus group data, and open-ended survey responses. It enables researchers to transcribe recordings, create customizable analysis grids, generate thematic codebooks, perform sentiment analysis, thereby accelerating the extraction of key insights from unstructured data.
I need to be HIPPA compliant, can I use CoLoop? CoLoop does not have HIPPA certification yet, however many are still able to use us for the following reasons:
  • HIPPA only applies to covered entities (pharma companies, hospitals etc.) and business associates that process patient records on behalf of them.
  • It would only apply in a situation where you guys are dealing with actual ePHI e.g. medical details about identifiable individuals.
  • If you somehow did end up ePHI you can always just upload sanitised text transcripts.
  • We’ve been approved for use by consultancies that specialise in healthcare with our current compliance posture (e.g. Day One Strategy, Simpson Carpenter, Research Partnership)
  • We have a PII redaction feature which allows you to remove any sensitive information from transcripts as well
What about Bias and Ethics
  • AI models used in research can carry various forms of bias — demographic, cultural, linguistic, political, and more — due to the data they’re trained on. While AI avoids some human cognitive biases, it remains vulnerable to systemic distortions unless carefully managed. Mitigation strategies include fine-tuning, curated training data, grounded generation, and building tools that make outputs traceable and transparent.
  • At CoLoop, we actively address these concerns by using aligned models, grounding generation in context, and ensuring every AI-generated insight is fully traceable to its original source. Researchers remain in the loop to verify outputs, and we’re continuing to improve our post-hoc analysis capabilities to further reduce the impact of bias in our platform. Read more here.
Is CoLoop accessible?
  • Accessibility is a key consideration at CoLoop. Current features include accessible tab navigation, multiple screen contrast options, and a colour palette designed to be readable for users with colour blindness. Unfortunately, we do not offer screen reader functionality at the moment.