Tuning Engines

What is Tuning Engines?

Tuning Engines is a management platform for the AI workers a company runs, covering both software agents and physical robots. Each worker is registered with an owner, given its own identity and scoped permissions, and monitored through a single control plane that combines compliance, security, observability and model tuning. Teams can use it as a governed gateway by pointing an OpenAI-compatible SDK at the Tuning Engines API, where policy checks, guardrails, PII redaction, model routing and per-request budget caps apply before a call runs. If they cannot change a model URL, a trace-only sidecar mode collects traces, tool calls, latency and spend without sitting in the request path, and this is currently the only mode offered for robots. Guides show how to route Claude Code, OpenCode, Cline, Roo and Aider through it, and the platform can export evidence for reviews against the EU AI Act, NIST AI RMF and SOC 2. The service is described as a beta, and prices are not published; the site invites visitors to book a demo.

Use cases

• Govern AI agent tool calls
• Cap AI spend per request
• Audit agent actions for compliance
• Route coding agents through one gateway
• Trace agent cost by team and outcome
• Redact PII before it reaches models

Who it's for

• Platform engineering teams
• Security and compliance teams
• AI engineering leads
• Enterprises running agents

Why use Tuning Engines

• Gives each agent its own credentials and least-privilege permissions, so a single shared key does not cover every workflow.
• Checks policies before a call runs, which helps stop sensitive actions instead of only logging them afterwards.
• Ties spend to work sessions and outcomes, so cost can be read per team, task and worker rather than as raw token counts.
• Offers a trace-only start, so you can get visibility before changing any model endpoints.
• Produces audit evidence that maps to common frameworks, reducing manual collection for reviews.

Tuning Engines features

• Per-agent identity, credentials and scoped permissions
• OpenAI-compatible governed gateway for inference
• Policy-as-code checks and approval workflows
• PII redaction and guardrails before execution
• Per-key budgets and rate limits
• Sidecar and trace-only mode with no traffic change
• Work Sessions that tie spend to outcomes
• Model routing, failover and caching
• Evidence exports covering SOC 2, NIST AI RMF and the EU AI Act
• Request capture for fine-tuning and evaluation datasets
• Public OpenAPI 3.1 spec with MCP tool endpoints

Tuning Engines integrations

• Claude Code
• OpenCode
• Cline
• Roo
• Aider
• Continue.dev
• AWS Secrets Manager
• AWS Bedrock
• Azure AI Foundry
• OpenAI
• Anthropic

How to get started with Tuning Engines

1. Sign up with an email address, and a tenant is created for your organization with you as owner.
2. Create an inference API key, then enable a catalog model or connect your own provider deployment.
3. Route calls through the governed gateway, or send traces from an existing agent in trace-only mode.
4. Set policies, budgets, approvals and guardrails in the control plane.
5. Review Work Sessions, spend, governance activity and outcome reports, then export evidence or datasets as needed.

Tuning Engines limitations

• The service is described as a beta, so features and pricing may change without notice
• Sidecar mode is the only option for robots today, and inline robot enforcement is listed as coming soon
• Pricing is not published; the site points to a demo

Tuning Engines pricing

Tuning Engines is sold on custom quotes, so its prices aren't published.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Tuning Engines alternatives

The main Tuning Engines alternatives listed on Debuly are Credo AI, Portkey, Helicone, Fiddler AI, Gram and OpenLIT. The table compares pricing and platforms; order is A–Z.

1. 

   Credo AI

   Enterprise AI governance platform for discovering AI systems, assessing risk, enforcing policy and producing compliance evidence.

   Developer platformsProductivityAutomation and agents
   Contact salesVisit Credo AI (official site)
2. 

   Fiddler AI

   Control plane for enterprise AI agents: observability, evaluations, inline guardrails and governance for agentic and predictive models.

   Developer platformsAutomation and agents
   FreemiumVisit Fiddler AI (official site)
3. 

   Gram

   Speakeasy's platform for building, hosting and governing MCP servers, with agent session logging, risk scanning and usage-based billing.

   Developer platformsAutomation and agentsCoding
   Free trialVisit Gram (official site)
4. 

   Helicone

   Open-source LLM observability and AI gateway that logs requests, tracks cost and latency, and routes to 100+ models through one API.

   Developer platformsCoding
   FreemiumVisit Helicone (official site)
5. 

   OpenLIT

   Open-source, OpenTelemetry-native platform for tracing, evaluating and guarding AI agents, with cost and GPU monitoring

   Developer platformsCodingAutomation and agents
   Open sourceVisit OpenLIT (official site)
6. 

   Portkey

   AI gateway with observability, guardrails, caching and prompt management for teams running LLM apps in production.

   Developer platformsAutomation and agents
   FreemiumVisit Portkey (official site)

Tuning Engines FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from tuningengines.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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