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Polaris Discovery Engine

Static Badge PyPI - Version

Polaris is an experimental automated documenation and insight generation tool for product teams. Using fine tuned models to take raw primary and secondary qualitative data and process, categorize, and provide basic insights on data that can drive product strategy.

Join us on Discord | Watch Youtube Tutorials | Explore our Model Families on Huggingface

🎯 Key features

'Polaris' seeks to compress the time investment of discovery by automating these key tasks:

Standardizing User Interview Documentation: Provide uniform and consistent summaries of user interviews simply by providing the transcript and/or a few basic notes.
Sumarizing direct feedback channels: Categorize, summarize, and tag direct channels like email, forums, social media, app-store reviews, etc.
Get Insights: Transform data into a more structured form for sentiment analysis, anomaly detection, and Q&A functions to get direct insights.

project is in early experiemental phase and is currently non-functional.

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Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

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  • Python 99.7%
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