Enterprise AI coding and inference. Inside your perimeter

Run frontier AI coding and inference inside your own infrastructure with the model routing, governance, and cost controls enterprises require.

Trusted by 2100+ companies globally

Key features

Run self-hosted LLMs at a fraction of the cost

Data sovereignty

Your cloud. Your data. Your rules.

Open-source models run inside your cloud account – AWS, GCP, or Azure. Prompts, completions, and code never leave your Cloud.

Governance & guardrails

No rogue merges. No leaked secrets. No runaway spend.

Every coding agent in your org routes through the Kimchi Proxy. Budgets, PII filtering, usage metrics, and an approved skills registry are enforced before requests hit a model – and surfaced in the Kimchi web app.

Cost visibility

See exactly who, what, and where your AI spend is going.

Per-developer, per-team, per-model, per-tag – in real time. Forecast spend before scaling. Stop discovering the invoice on the 1st.

Hybrid model routing

Stop paying architect rates for every task.

Use a powerful model for reasoning, route execution to cheaper self-hosted open-source models. Hybrid mode keeps the best of both worlds – and the routing decision is automatic.

Zero-friction migration

One command. From your existing AI tools.

kimchi setup auto-detects Claude Code, Cursor, Continue, VS Code, Windsurf and migrates the endpoints automatically. OpenAI-compatible API – no code changes required. Start on Kimchi serverless, graduate to self-hosted whenever compliance or cost demands it.

  • Auto-detects every coding tool already installed
  • Same SDK, same workflow – only the base URL changes
  • Migrate MCP servers, skills, and config in one prompt
  • Graduate to self-hosted with a single config flag

Kimchi Harness · Enterprise

Out-of-the-box connectors for the tools your engineers already use.

MCP-based integrations, context window management, persistent memory across sessions, spec-driven development workflows. A full-stack coding platform that never leaves your perimeter.

GitHub Enterprise

PRs, diffs, comments, status checks. Read-only or scoped writes.

GitLab

Full MR + pipeline integration.
Self-managed instances supported.

Jira

Read tickets, link commits, create issues from PR findings.

Confluence

Spec docs, runbooks, ADRs — accessible during planning phases.

Slack

Notifications, DMs, channel triggers.
Per-team routing rules.

Linear

Integrate with Terraform for infrastructure-as-Code-driven cluster onboarding.

Postgress / MySQL

Scoped queries against your DB for
RAG and analysis.

S3 / GCS / Azure

Document and artifact storage. Signed URLs handled internally.

Okta · SAML / OIDC

SSO and RBAC tied to your IdP. Group-based agent policies.

Vault / Secrets Mgr

Credential isolation. Agents never see raw secrets.

Datadog · Splunk

Log every prompt, completion, tool call to your SIEM.

Custom MCP

Any HTTP endpoint becomes a typed tool. @tool decorator.

Learn more

Additional resources

Docs

Getting started with LLM optimization solutions for AIOps

Learn how to optimize LLM performance and efficiency with Cast AI’s automated solutions.

Blog

LLM Cost Optimization: How to Run Generative AI Apps Cost-Efficiently

Discover how you can optimize LLM cost without sacrificing performance.

Docs

See the full list of our supported LLM providers

Explore the AI models and cloud platforms compatible with CAST AI’s LLM optimization solutions.

FAQ

Your questions, answered

Is self-hosted really cheaper at scale?

Yes, once you cross ~$3-5k/month in inference spend. We model your break-even in the first call – most enterprises with 50+ developers are well past it. Below that, Kimchi Serverless is cheaper.

How does quality compare to closed models?

For execution-class tasks (code generation, refactors, tests, embeddings), open-source models match or exceed Sonnet on real workloads. For planning and complex reasoning, hybrid routing keeps closed models in the loop when you allow it.

Which compliance frameworks are you ready for?

SOC 2 Type II today. GDPR and DORA by design. HIPAA-ready architecture (BAA on request). FedRAMP Moderate in progress. Customer-specific audits supported.

What’s the operational overhead?

Kimchi runs as a Kubernetes operator inside your cluster – autoscale, hibernation, monitoring are managed. Your team manages identity, network, and the underlying nodes. Most customers spend <1 SRE-day/month on ops.

What’s the air-gap story?

Full air-gap is supported – every model, including fallbacks, runs inside your perimeter. No outbound calls, no telemetry, no model updates without your action. Deployable from a single signed bundle.

How does migration from serverless work?

One config flag — change base_url fom api.kimchi.dev to kimchi.your-corp.io. . Same API, same SDK, same code. Most teams flip the switch in under an hour.

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