Sphinx
AI NativeEst 2025|Valuation $50M|Raised $9.5M
Published Oct 1, 2026
| Starting Price | Free tier with limited agent units; Explorer at published pricing with agent unit quotas | Free; Team tiers with published per-seat pricing | Assistant functionality may be available within Databricks subscriptions; compute billed via vendor compute units |
| Primary fit | Users working in Python notebooks who want an assistant embedded in editors | Teams seeking collaborative cloud notebooks with managed compute | Organizations standardized on Databricks and Unity Catalog governance |
| Key strengths (vendor claims) | Assistant designed to operate inside editors and notebooks; enterprise features listed at higher tiers | Collaboration features and managed environment; platform-level controls | Integration with lakehouse, governance, and platform operations |
| Key weaknesses / risks | Usage-based agent-unit billing can be harder to forecast; limited independent reviews; retention and data-sharing language requires scrutiny | Seat-based economics can scale with team size; platform lock-in trade-offs | Cost predictability depends on compute-unit usage; platform costs can be material |
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