1. Observe

Continuously collect raw data points from diverse sources and easily explore their context. Hone in on problems that matters most.

2. Organize

Use semantic search, clustering, prompt engineering and data curation flows optimized for human language to isolate the data that matters to your work.

3. Operationalize

Run the relevant datasets through tested prompts to surface insights, accelerate development timelines, and solve real problems.