Tuning Engines

Tuning Engines is an innovative AI control and governance platform designed to empower teams in developing production intelligence across various models, agents, tools, and finely-tuned systems. It unifies the entire AI lifecycle, offering a governed environment where organizations can manage inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, and much more. This all-in-one solution is tailored for developers and admins alike, providing OpenAI-compatible APIs and Anthropic-compatible routes, making it easy to integrate with existing workflows. By allowing seamless connections to tools like Claude Code, OpenCode, and Cursor through a single platform, Tuning Engines transforms isolated AI experiments into a secure, observable, and cost-efficient operating layer. With Tuning Engines, organizations can effectively train, evaluate, route, and utilize models and agents at scale, ensuring a robust, extensible, and optimized AI experience.

Unified Inference

Tuning Engines offers a single OpenAI-compatible endpoint that allows access to a diverse range of models, from open-source to commercial and custom-tuned versions. This feature simplifies model integration while maintaining centralized policy control and auditability.

Model Tuning

With the ability to adapt models specifically to your unique data, workflows, and production goals, Tuning Engines streamlines the fine-tuning process. This feature ensures that the models are not only aligned with your business objectives but also optimized for performance and accuracy.

Evaluations

The evaluation feature allows teams to measure model quality, compare different variants, and make evidence-based decisions before deploying to production. This rigorous evaluation process ensures that only the best-performing models are utilized, enhancing overall project outcomes.

Role-Based Access Control

Admins benefit from robust role-based access controls that ensure secure management of user permissions. This feature enables organizations to define user roles, manage team access, and maintain compliance with governance policies, fostering a safe collaborative environment.

Code Assistance

Developers can leverage Tuning Engines to create IDE copilots that assist with code generation, refactoring, and debugging. This use case enhances productivity by providing intelligent code suggestions and reducing the time spent on mundane tasks.

Conversational AI

Tuning Engines can be employed to build advanced customer support bots and internal helpdesks that operate in multiple languages. This use case enhances user engagement and satisfaction by providing prompt and accurate responses to inquiries.

Agentic Systems

Organizations can develop multi-step reasoning agents using Tuning Engines, enabling complex planning and tool-using execution pipelines. This capability empowers businesses to automate intricate workflows, leading to increased efficiency and reduced operational costs.

Enterprise RAG (Retrieval-Augmented Generation)

Tuning Engines supports secure and scalable retrieval systems that enhance knowledge bases and private document access. This use case allows enterprises to leverage their data effectively while maintaining confidentiality, ensuring that sensitive information is handled securely.

What is the main value proposition of Tuning Engines?

Tuning Engines serves as a unified AI control layer that optimizes the AI lifecycle, enabling teams to build, evaluate, and deploy models efficiently while ensuring governance and security.

How does Tuning Engines support model fine-tuning?

Tuning Engines allows users to adapt models to their specific data and workflows through various fine-tuning techniques. This includes supervised learning, LoRA adapters, and evaluation gates to maintain quality alignment with business needs.

Can Tuning Engines integrate with existing tools?

Yes, Tuning Engines supports integration with numerous AI workflows and tools, such as Claude Code, OpenCode, and VS Code, allowing teams to streamline their existing processes without significant changes.

What security measures are in place for user access?

Tuning Engines implements robust role-based access control, enabling organizations to define user roles, manage permissions, and maintain compliance with governance policies, ensuring a secure collaborative environment.