On Premise LLM Workflows Built for Air-Gapped Finance
Cloud LLMs cannot run in air-gapped environments. Jinba Flow lets banks and insurers build deterministic, auditable AI workflows that run entirely on premise with full data control.
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Jinba Flow: On Premise LLM Workflows for Regulated Institutions
Jinba Flow gives IT and operations teams at banks and insurance companies a purpose-built platform to design, test, and deploy AI workflows entirely on premise. Sensitive financial data never leaves your infrastructure, while deterministic execution ensures every output is consistent, traceable, and audit-ready for regulators.
- Describe your on premise LLM workflow in plain language and have Jinba generate a full workflow draft automatically, then refine every step in a visual flowchart editor without writing code
- Configure routing rules, exception handling, and conditional thresholds so your on premise AI follows the same governance logic as your compliance policies
- Validate inputs and enrich outputs by pulling data from internal systems and databases within your air-gapped environment, keeping all processing local
- Every workflow execution is logged with full audit trails, timestamps, and change history so compliance officers and regulators have complete visibility into how AI decisions were made
How Jinba Deploys On Premise LLM Workflows
Use Jinba Flow's chat-to-flow generation to describe your on premise workflow. A visual editor lets your team refine routing rules, validation logic, and AI model connections pointing to your self-hosted or private cloud models.
Publish the workflow as an API, batch process, or MCP server within your air-gapped environment. On premise hosting, SSO, RBAC, and SOC II controls are configured at deployment so your security team signs off before go-live.
Business users in Jinba App execute approved workflows via a conversational interface with auto-generated forms. No data leaves your perimeter, and every run is logged for audit and compliance review.
Enterprise Ready
Control, security, and support for large organizations.
Advanced access control
Role-based permissions and SSO integration.
Organization management
Spaces, roles, and approvals for your team.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
On-premises or private cloud hosting
Run Jinba in your own environment with full data control.
Advanced access control
Role-based permissions and SSO integration.
Audit logging
Complete compliance and security oversight tracking.
Organization management
Spaces, roles, and approvals for your team.
Pre-built & custom integrations
100+ pre-built integrations plus custom connectors for your internal systems.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
Private model hosting
Use Bedrock, Azure AI, or your own models securely.
Deploy On Premise LLM Workflows for Your Institution
If your bank or insurance company needs AI workflows that run entirely on premise in an air-gapped environment with full audit control, talk to the Jinba team to see how it works.
Frequently Asked Questions
Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.
Can Jinba run an LLM entirely on premise with no cloud dependency?
What model hosting options does Jinba support for on premise LLM?
How does Jinba ensure on premise LLM outputs are auditable?
Is Jinba compliant with financial services regulations?
Can non-technical staff use on premise LLM workflows built in Jinba?
What use cases can on premise LLM workflows support in Jinba?
How quickly can we build and deploy an on premise LLM workflow?
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