DeepSeek Pricing Is the Easy Part

Cheap tokens do not clear a model review. Banks and insurers have to answer where inference runs, which jurisdiction holds the data, and what the audit trail shows. Jinba runs deterministic workflows on-premise, against whichever model your governance has approved.

Book a Demo

Process loan and KYC documents on our own infrastructure. When one arrives by API or batch upload, check the required fields and completeness against our rules, then pull the customer record and compliance flags from the core banking system. Auto-approve low-risk cases with no model call, use AI only to read the unstructured sections, and route high risk to a compliance officer with a structured review form. Notify the relevant teams of the decision and record the full execution trail with timestamps and approver details.

Building workflow...

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Backed by Combinator

Deploy Where You Are Allowed To, Call a Model Less Often

Jinba Flow separates the workflow from the model. Routing, validation, enrichment and compliance checks run as rule-based steps on your own infrastructure, and a model is invoked only for the genuinely unstructured work — via private hosting on AWS Bedrock, Azure AI, or a self-hosted model inside your perimeter. That keeps the data-residency answer simple and cuts token spend 15 to 60x at the same time.

Describe your workflow in plain language and Jinba generates a draft automatically, then refine every step in a visual editor without writing code
Swap the model behind a workflow without rebuilding it, so a change to your approved-model list is a configuration change rather than a migration
Validate and enrich inputs automatically by pulling structured data from connected banking and compliance systems before any AI step runs
Every execution is logged with full audit trails, role-based access controls, and on-premise deployment to support regulated teams' compliance requirements

From Model Review to Governed Workflow in Days

Send weekly metrics to Slack every Monday at 9am

1

Build in Jinba Flow

Use chat-to-flow generation or the visual editor to design your workflow. Define the rules, routing logic, and validation steps that replace expensive stochastic AI calls.

test_runner.log

Running workflow test...

✓ Input validation 12ms

✓ Fetch from Sheets API 847ms

✓ Process 24 rows 156ms

✓ Send to #sales 203ms

PASS All steps completed 1.22s

Output preview:

"sent": true, "channel": "#sales"

2

Deploy securely (API / batch / MCP)

Publish as an API, batch process, or MCP server with on-premise or private-cloud hosting. Configure RBAC, SSO, and audit logging before going live.

3

Run in Jinba App (guardrailed UI)

Operations teams execute approved workflows through Jinba App via chat or auto-generated forms. Every run is deterministic, auditable, and governed.

Enterprise Ready

Control, security, and support for large organizations.

On-Prem

Jinba

Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions

128 Active

Sarah Chen Engineering Lead

Workflows

Michael Ross Product Manager

Analytics

Guest User External Auditor

Admin Access

SSO Enforced

Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log

1

[200] 09:14:22 GET /api/v1/health_check

2

[INFO] 09:14:23 Worker node_04 connected

3

[AUTH] 09:15:01 User admin@corp verified

4

[AUDIT] 09:15:02 Role assignment update

5

// Syncing to edge...

6

[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

Marketing

RESTRICTED

HR

ALLOWED

Screening

Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice 10:42 AM

We need a connector for our internal CRM. Is this possible?

James 10:43 AM

Sure! Can you share the API spec?

crm_api_spec.pdf

Got it. I'll have the connector ready by tomorrow.

James Next day

Connector is live!

Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet

Azure OpenAI GPT-4 Turbo

Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

On-Prem

Jinba

Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions

128 Active

Sarah Chen Engineering Lead

Workflows

Michael Ross Product Manager

Analytics

Guest User External Auditor

Admin Access

SSO Enforced

Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log

1

[200] 09:14:22 GET /api/v1/health_check

2

[INFO] 09:14:23 Worker node_04 connected

3

[AUTH] 09:15:01 User admin@corp verified

4

[AUDIT] 09:15:02 Role assignment update

5

// Syncing to edge...

6

[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

Marketing

RESTRICTED

HR

ALLOWED

Screening

Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice 10:42 AM

We need a connector for our internal CRM. Is this possible?

James 10:43 AM

Sure! Can you share the API spec?

crm_api_spec.pdf

Got it. I'll have the connector ready by tomorrow.

James Next day

Connector is live!

Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet

Azure OpenAI GPT-4 Turbo

Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

Talk to Our Team About Model Governance and Cost

If your AI spend is under review and your model approval list is short, Jinba's deterministic architecture addresses both: fewer model calls per workflow, and deployment inside your own infrastructure.

Book a Demo

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.

DeepSeek is one of the cheapest models available — why would we look past the pricing?

Because per-token price is rarely the constraint that decides a regulated deployment. Before cost, a bank or insurer has to answer where inference runs, which jurisdiction holds the data in transit, and whether the model appears on an approved list. Jinba addresses that directly: workflows deploy on-premise or in a private cloud, with private model hosting via AWS Bedrock, Azure AI, or a self-hosted model, so the residency answer does not depend on which vendor you picked. The cost argument then sits on top — Jinba runs roughly 80% of workflow steps as rule-based logic, so it calls any model far less often, whichever one you are cleared to use.

How does Jinba reduce LLM token costs structurally?

Jinba Flow builds workflows where the majority of steps are deterministic and rule-based, not AI-generated at runtime. Validation, routing, enrichment, and compliance checks execute as coded logic rather than LLM calls. AI is invoked selectively for tasks like document extraction or classification, not for every step in every execution.

Can Jinba deploy on-premise for regulated environments?

Yes. Jinba supports on-premise and private-cloud deployment in air-gapped environments. Banks and insurance companies use this to ensure sensitive documents and customer data never leave their infrastructure. Private model hosting is available via AWS Bedrock, Azure AI, or custom self-hosted models.

What compliance controls does Jinba include?

Jinba is SOC II compliant and includes audit logging, role-based access controls (RBAC), SSO, Active Directory integration, version control, and feature flags. Every workflow execution is logged with timestamps and user details, producing the audit trail regulators require.

How quickly can teams build and deploy workflows in Jinba?

Teams typically build workflows in days rather than the months typical of consultant-led implementations. Jinba's chat-to-flow generation produces a workflow draft from a plain-language description. Teams then refine it in the visual editor, test with real data, and deploy as an API or batch process.

Is Jinba suitable for non-technical business users?

Yes. Jinba App provides a conversational interface with auto-generated input forms so non-technical operations staff can execute approved workflows safely. Builders use Jinba Flow to design and govern workflows; business users consume them in Jinba App with full RBAC controls in place.

What types of workflows can regulated enterprises build in Jinba?

Common use cases include KYC document processing, contract review, compliance checks, loan underwriting automation, investment document assessment, and prior authorization workflows. Jinba is built for document-heavy, multi-step processes in banking, insurance, legal, healthcare, and pharma.

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