Jinba

Jinba lets enterprise business teams build and deploy compliant AI workflows using natural language

AI / ML · SaaS · FinTech Live product
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10/19/2026

The Problem

Enterprise teams, such as those in banking, insurance, and manufacturing, need to automate processes like loan screening, underwriting, claims processing, and contract review, but depend on IT departments with long backlogs. The page states that 'most banks are still waiting for their IT backlog to clear,' meaning business teams cannot quickly build or change workflows themselves. Traditional automation tools require either complex UI development, custom engineering, or developer involvement, slowing down deployment and limiting who can build automations.

The Solution

Jinba provides two connected products: Jinba Flow, where builders describe workflows in plain language and refine them in a visual editor or YAML, and Jinba App, where end users execute deployed workflows. Workflows can include conditional routing, data enrichment from connected systems like credit bureaus, and can be deployed as an API or MCP server for immediate team use. The platform includes enterprise security and compliance controls such as SOC 2 Type II, HIPAA, and GDPR compliance, end-to-end encryption, SSO, RBAC, audit logging, and on-premise or private cloud deployment. It also offers 100+ pre-built integrations (Slack, Salesforce, GitHub, etc.), custom connector support, and private model hosting through AWS Bedrock, Azure OpenAI, or self-hosted models.

Jinba