Inkling model from Thinking Machines Lab now on Databricks

The open-weights model from Thinking Machines Lab is available through the Unity AI Gateway, to build agents and applications

by Mike Eastham, Yuchen Jin and Preslav Le

We are excited to announce Databricks as a day zero launch partner for Thinking Machines Lab (TML), bringing their first open-weights model, Inkling, available on the Databricks platform for our enterprise customers to apply to their enterprise data and power coding workflows. Inkling is an open-weights model that excels at coding and agentic reasoning workflows, and supports multi-modal inputs.

Open weight models are core to Databricks’ mission, as they can be customized by our customers on their own enterprise data, to perform specialized tasks with higher quality, lower cost, and often faster latency. Inkling from Thinking Machines Lab (TML), an AI research and products company, continues the recent surge in strong open weight models.

Why this matters for enterprise teams:

Context: Open weight models like Inkling can be fine-tuned on proprietary codebases, internal documentation, and domain-specific data to achieve higher accuracy on your specific tasks.

Control: Inkling is governed through Unity AI Gateway with the same security, permissions, audit logging, and policy enforcement that enterprises apply to all models on Databricks. Data stays within your governed environment.

Choice: No lock-in to a single model provider. Teams can switch, combine, or customize models as requirements evolve and choose the right model for each workload across open and proprietary options.

Cost: Deploy Inkling at the scale and configuration that matches your workloads. Open weight models allow organizations to optimize inference spend without per-token API pricing.

Apply Inkling to enterprise data

Inkling is available in Unity AI Gateway, our unified governance layer for security, cost controls, and observability. Invoke Inkling via REST API:

Support to query in SQL is coming soon. 

Power coding workflows with Inkling and Unity AI Gateway

Connect Inkling with popular coding agents such as Cursor or OpenCode or Pi through the Unity AI Gateway, and be able to centrally govern access, cost controls and budgets, and security.

Get started today

Inkling is available now on Databricks. Here's how to get started:

• Try Inkling in AI Playground: Adjust parameters and export prompts directly into notebooks or SQL.
• Deploy Inkling through Unity AI Gateway: Set up a governed Inkling endpoint in seconds with built-in security, cost limits, and observability. Connect Inkling to coding agents such as Cursor or OpenCode.
• Build Inkling-powered agents with Agent Bricks: Analyze your data, automate complex work, evaluate with custom judges, and deploy at scale.
• Read the Foundation Model API docs: Full API reference for Inkling