For B2B SaaS teams
Local AI backend for SaaS internal copilots.
Your support copilot, your prompts, your customer data — all flowing through OpenAI. OwnLLM lets you move internal SaaS AI workflows local without rewriting your stack.
Book an AI cost auditStack compatibility
Drop-in
OpenAI-compatible endpoint. Change base_url and your existing code works.
Budget control
Per team
Set monthly spend caps per API key. Engineering, support, and ops get separate budgets.
Data isolation
Your machine
Inference runs on your hardware. Customer data does not leave your infrastructure.
What internal SaaS teams get
OpenAI-compatible drop-in
Set OPENAI_BASE_URL and OPENAI_API_KEY in your app config. No SDK changes, no prompt rewrites.
API keys with scopes and budgets
Issue API keys per team, per service, or per integration. Set spend caps and model restrictions per key.
Audit trail for internal use
See which service called which model, how many tokens, and when. Useful for debugging and cost attribution.
Cloud AI backend vs OwnLLM for internal workflows
OpenAI API direct
Easiest integration path, best frontier models.
Customer data flows through OpenAI. Costs scale with usage at high volume.
Local inference for internal workflows, OpenAI-compat drop-in.
Azure OpenAI
Enterprise SLAs and EU data residency options.
Setup complexity, per-token cost still applies.
Flat monthly cost, no per-token billing for internal usage.
Self-hosted LiteLLM
Multi-provider routing and observability.
Python ops, Docker deployment, and log management to own.
Embedded gateway, signed updates, managed by OwnLLM.
Book an AI cost audit to see the numbers for your stack.
We will review your current AI API usage and show you which internal workflows are best candidates to move local — and what the economics look like for your team size.