OpenLLM Studio Enterprise gives security and platform teams the controls they need: air-gapped deployment, SSO, RBAC, audit exports, and data residency — without shipping source code or prompts to the cloud.
Regulated teams choose OpenLLM Studio when cloud LLMs are not an option.
Run inference, fine-tuning, and RAG entirely inside your perimeter. Block outbound calls, pin updates, and keep embeddings local.
Manage users, models, quotas, and policies across on-prem, VPC, and air-gapped appliances from a single control plane.
Export tamper-evident audit packages, enforce data residency, and retain full control over your model supply chain.
Admin dashboard
Monitor usage, review audit logs, and enforce policies across every cluster from a single dashboard. No fabricated metrics — real data from your own deployment.
Provision users, enforce policies, and monitor usage across on-prem racks, private VPCs, and air-gapped edge sites from a single dashboard.
Purpose-built for teams that cannot compromise on data control.
Keep PHI on-premises while giving clinicians secure access to clinical summarization, coding assistance, and research queries.
Run risk models, compliance Q&A, and transaction analysis on air-gapped infrastructure with full audit trails for regulators.
Analyze contracts and case law without exposing client data. Enforce role-based access to matters and privilege boundaries.
Deploy classified and export-controlled workloads in disconnected environments with custom model onboarding and SLAs.
Everything your security, platform, and AI teams need to ship with confidence.
SAML 2.0 / OIDC with group-to-tier mapping, enforced SSO, and admin, member, and viewer roles.
Immutable logs for every login, model call, policy change, and data export. SOC 2 evidence ready.
Launch fully offline, block outbound traffic, and control update cadence inside your network perimeter.
Named support engineers, shared Slack channels, and priority response times for production incidents.
Bring your own weights, quantize for your hardware, validate outputs, and deploy behind your firewall.
Connect on-prem, VPC, and edge clusters with centralized identity, quotas, and policy enforcement.
Connect multiple regions and classification levels while keeping identity, policy, and audit centralized.
Every login, policy change, model call, and export is logged with timestamps and actor identity. Generate evidence packages in one click.
OpenLLM Studio includes an autonomous coding agent that reads, writes, edits, and tests code across your entire project — all on your machine. No telemetry, no cloud inference, and no per-request billing. It is the private alternative to Cursor, Claude Code, and GitHub Copilot for teams that cannot send their source code to a third party.
We built OpenLLM Studio for organizations that treat data sovereignty, access control, and auditability as table stakes.
Request a security reviewStart with Team for smaller groups, then scale to Enterprise when you need SSO, audit logs, air-gapped deployment, and dedicated support.
Tell us about your team, deployment constraints, and compliance needs. We will respond within one business day.
Walk through architecture, compliance, and deployment options with our team.
Download OpenLLM Studio and pilot on your own hardware before buying.
Insights
Guides, comparisons, and stories about running LLMs locally and keeping data private.
Ollama is the default CLI for local LLMs. OpenLLM Studio is the GUI-first alternative with a hardware wizard, Hugging Face integration, and a built-in coding agent. Here is the full comparison.
LM Studio has the slickest model browser in the business. OpenLLM Studio matches that polish and adds open-source licensing, a hardware wizard, and a local coding agent. Here is the full comparison.
Jan is the privacy-first open-source ChatGPT replacement. OpenLLM Studio matches Jan on privacy and adds hardware-aware recommendations and a local coding agent. Here is the full comparison.