Pureprofile has launched a new AI Coding tool designed to speed up and improve the analysis of open-ended survey responses for global research projects.
The company's newly released solution leverages advanced natural language processing (NLP) to identify key themes in qualitative data, apply or generate codeframes, and provide multilingual insights in real time. This aims to address longstanding challenges around the manual coding of open-ended questions in research, a process often cited as both time-consuming and resource-intensive.
Automation and flexibility
Puresprofile's AI Coding tool is developed to simplify and accelerate the process of extracting actionable findings from open-text responses. Through its NLP engine, the tool categorises responses into themes, allowing researchers to either apply a predefined codeframe or instruct the system to create one automatically. Results can be reviewed and refined as they are generated, offering greater control over the coding process.
Multilingual support is included in the solution, enabling consistent analysis across different cultures and languages. This feature is particularly suited to large-scale international research programmes, where maintaining accuracy and cultural nuance is essential.
Designed for multiple use cases
The tool is positioned to serve a variety of research applications, including brand health tracking, Net Promoter Score (NPS) assessments, campaign evaluation, and public sentiment analysis. Its continuous learning capability allows the system to evolve in response to changes in language and expression, increasing accuracy and relevance over time.
Lorraine Yeung, Head of Global Operations at Pureprofile, commented on the significance of the launch:
"Open-ended responses are highly valuable in research, but they've historically been the hardest to work with. With AI Coding powered by inca, we're giving researchers a smarter, faster and more flexible way to unlock the value in qualitative data at scale. It's about replacing bottlenecks with breakthroughs and helping teams move from raw verbatims to real insight without losing control or clarity along the way."
The company highlighted that this new solution complements Pureprofile's existing proprietary AI coding service. Both offerings are delivered as managed services. The inca-powered platform specifically targets users who require the flexibility to review, adjust, and refine codeframes and results instantly. In contrast, the existing service is designed for those with fixed codeframes seeking rapid, consistent outputs managed by Pureprofile's in-house team.
Enhancing global research efficiency
For research agencies and businesses conducting international studies, the AI Coding tool's multilingual and real-time features are expected to support more responsive and coherent analysis of open-ended feedback. By reducing manual tasks, the tool aims to let researchers focus on interpreting results and delivering insights rather than data preparation.
The company noted that its AI system's learning mechanism allows results to become more contextually relevant as it processes more responses and adapts to different ways people communicate.
Puresprofile states that the solution is now available for clients undertaking qualitative research across various sectors, aiming to provide faster turnaround and consistent analytical standards worldwide.
