Inkling model from Thinking Machines Lab now on Databricks

Summary

Databricks announces that Inkling, Thinking Machines Lab’s first open-weights model, is available to enterprise customers through the Unity AI Gateway. The model is positioned for coding and agentic reasoning workflows, supports multi-modal inputs, and can be applied to enterprise data, including proprietary codebases, internal documentation, and domain-specific data. Unity AI Gateway provides centralized security, permissions, audit logging, policy enforcement, cost controls, budgets, and observability, while data remains within the governed environment; Inkling is invoked through a REST API, with SQL query support planned. Teams can try it in AI Playground, deploy a governed endpoint, connect coding agents such as Cursor, OpenCode, or Pi, and build agents with Agent Bricks, with open weights enabling customization and inference-cost optimization without per-token API pricing.

Context

Enterprise teams can customize open-weight models on proprietary codebases, internal documentation, and domain-specific data, while retaining governance, provider choice, and control over inference costs. The announcement also positions Inkling for coding and agentic reasoning workflows using enterprise data.

Approach / What changed

Inkling is offered through Unity AI Gateway, which provides security, permissions, audit logging, policy enforcement, cost controls, budgets, and observability. Customers can invoke it through a REST API, try it in AI Playground, connect coding agents including Cursor, OpenCode, and Pi, or build agents with Agent Bricks.

Takeaways

• Inkling is Thinking Machines Lab’s first open-weights model and supports coding, agentic reasoning, and multi-modal inputs.
• Unity AI Gateway governs Inkling with enterprise security, permissions, audit logging, policy enforcement, cost controls, budgets, and observability.
• Inkling can be connected to Cursor, OpenCode, or Pi, while SQL query support is identified as coming soon.

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