Introducing Shadowfax AI: The Future of Analytics

Di Wu
Co-founder & CTO
The Problem with Traditional Analytics
For decades, analytics tools have forced teams into painful trade-offs. BI tools are approachable but rigid. Spreadsheets are flexible but brittle. Code notebooks are powerful but opaque to non-technical teams.
Simply layering AI copilots on top of these foundations doesn't solve their design flaws. Even if an LLM could perfectly populate thousands of spreadsheet cells, analysts still face the same painful task: verifying correctness one cell at a time.
A New Approach
At Shadowfax AI, we're building analytics from the ground up with AI at its core. Our platform combines multiple UX modalities in an analyst-in-the-loop workflow—so analysts orchestrate and validate instead of grind.
Key Features
- Natural Language Queries - Ask questions in plain English and get instant insights
- Automatic Visualization - AI selects the best chart type for your data
- Collaborative Workflows - Share and iterate on analyses with your team
- Enterprise Security - SOC 2 compliant with role-based access control
What's Next
We're just getting started. In the coming months, we'll be rolling out:
- Advanced forecasting capabilities
- Custom model training on your data
- Integrations with popular data warehouses
Stay tuned for more updates, and sign up for early access to try it yourself!
About the Author

Di Wu
Co-founder & CTO
Principal Engineer at Snowflake, Distinguished Engineer at Rubrik, CTO at BetterWorks, and Engineer at Palantir.
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