Pienso
Empower data analysis without coding; intuitive, customizable AI tool.

About
Pienso provides a no-code solution for examining and interpreting large text datasets. This platform allows users to interact directly with data, model behavior, and categories without needing to write code, making advanced AI techniques accessible regardless of technical expertise.
Through its user-friendly interface, users can annotate and refine data categories, adjust models for accuracy, and generate insights quickly. With support for real-time data processing and customized model development, teams can rapidly translate raw language data into actionable findings.
Designed to operate securely in cloud or on-premise environments, Pienso helps organizations maintain control over sensitive information. By focusing on accessibility and customizable workflows, it bridges the gap between domain experts and machine learning without heavy reliance on engineering resources.
Who is Pienso made for?
Pienso is most suited to professionals and teams that regularly work with substantial volumes of language-based data and must extract insights quickly, without access to dedicated data science or engineering staff. This includes customer service departments that analyze call transcripts to improve client interactions and support strategies, content moderation teams responsible for managing user-generated content at scale, and market research groups interpreting open-ended feedback from large respondent pools.
HR professionals seeking patterns in employee surveys or recruitment feedback also benefit from Pienso's interface, as do academic and non-profit researchers handling qualitative data. The tool is ideal for organizations that need to maintain strict control over data privacy, operate in regulated environments, or require customizable AI workflows without complex development cycles.
Ultimately, Pienso streamlines labor-intensive, text-heavy analysis within departments where practical and secure deployment is as important as actionable output.