Building frontier AI for data science.
Sphinx AI is redefining how machine intelligence reasons about data. Our AI copilot thinks in statistics and patterns — not just language or code. We work with data professionals to transform raw information into actionable insight: refining forecasts, optimizing operations, and powering applications from supply chains to sabermetrics.
Intelligence in Every Cell
“
Sphinx AI has helped our data scientists uncover patterns in shopper behavior in minutes instead of hours or days"
Brian,
CEO of a leading CPG firm
Get started with Sphinx AI
Scout
Free
- 100 agent units per month
- An adaptive AI copilot supporting everything from error correction to agentic workflows
- Best-in-class representation learning on your data and graphs
- Integration with Jupyter in VS Code
- Community support + knowledge base
- Local environment support
Explorer
$20/m
Everything in Scout plus:
- 400 agent units per month
- Priority support
- Enterprise-grade data controls
- Add on credits at $5 / 100 agent units
Enterprise
Contact Us
Everything in Explorer plus:
- Consolidation and reasoning across enterprise data sources and data practices
- Custom environment support (Databricks, Vertex AI, and more)
- Enterprise-grade privacy, security, SSO, and audit logging
- Priority support and dedicated onboarding
- Volume based annual discounts on credits
Frequently Asked Questions
What is Sphinx AI and where does it run?
Sphinx AI is a copilot for anyone working with data. Sphinx AI Copilot currently ships as a VSCode extension that interfaces with Jupyter and other compatible notebooks. Our copilot runs in your environments, alongside you. All compute invoked by Sphinx AI runs on your servers and is subject to your permissions.
How does Sphinx AI understand data better than other AI systems?
Sphinx AI builds data intuition by running inference jointly across modalities ranging from natural language, to images, to statistical representations. By carefully choosing the right representations for your data and the task at hand, Sphinx AI delivers highly contextualized outputs accelerate your workflow.
How can I customize Sphinx AI’s behavior?
Sphinx AI is always learning from you; the more you use it, the better it gets. Sphinx AI can also be configured by natural-language rules (both globally and local to each of your projects)
How can Sphinx AI access data resources?
Sphinx AI can access anything you can reach through Python, REST APIs, or MCP including Snowflake, Databricks, BigQuery, Salesforce, and more. By running locally in your environment, Sphinx AI generates artifacts and insights that you can audit, reproduce, and fully own.
How are Agent Units used for billing?
Agent Units are a measure of compute directly proportional to the amount of inference Sphinx AI needs to use to complete your tasks. A single Agent Unit is enough to complete a simple agentic task, such as building and validating a robust linear model. You can monitor your usage of Agent Units on the Sphinx dashboard.
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