An enterprise AI workflow automation platform from Carnot Inc. You can build workflows through a natural-language chat, a visual editor, or YAML, and deploy the finished workflows instantly as APIs, batch processes, or MCP servers. It offers connectors to more than 100 services including OpenAI, Slack, and Salesforce, along with enterprise-grade security features such as SSO, RBAC, and audit logging. Beyond the cloud edition, deployment to on-premise and private cloud environments is also available.
Key Features
- Build workflows through chat: Simply describe what you want to automate in natural language and a draft workflow is generated. You can then refine the details in a flowchart-style visual editor, and YAML-based definitions are also supported
- Instant deployment as APIs, batches, or MCP servers: Turn your workflows into APIs callable from your programs, scheduled batch jobs, or MCP servers connected to AI agents — multiple deployment formats ready for production right away
- A three-part product suite: Consists of “Jinba Flow” for designing and building workflows, “Jinba App” where input forms are auto-generated so team members can run workflows directly, and “Jinba Toolbox” (beta), a tool registry for AI agents
- 100+ integration connectors: Prebuilt connectors for OpenAI, Slack, Salesforce, and more, plus support for building custom integrations
- Enterprise-grade security: Provides SSO, RBAC, and audit logging, and states compliance with standards such as SOC 2 Type II and GDPR
- Flexible deployment environments: Choose not only the cloud edition but also on-premise or private cloud deployment
Pricing
| Plan | Price | Highlights |
|---|---|---|
| Free | $0 | 2 team members, 2 workspaces, 10 workflows, 100 Copilot requests/day |
| Enterprise | Contact sales | Custom members and workspaces, unlimited workflows, on-premise deployment |
Pricing is as of August 2026. Please check the official site for the latest pricing.
Pros & Cons
✅ Pros
- The flow of drafting in natural language and finishing in the visual editor is intuitive, making automation approachable without specialized knowledge
- Workflows can be published instantly as APIs, batches, or MCP servers, so integrating them into internal systems and AI agents is fast
- Meets enterprise adoption requirements from the start, with SSO, RBAC, audit logging, and on-premise deployment
- A free plan is available, so small teams can start with a trial
⚠️ Cons
- No mid-tier plan is published, so usage beyond the free tier assumes an enterprise contract (contact sales)
- Usage examples and community information in the Japanese-speaking world are still scarce, so adoption tends to rely on the official documentation
- The connector count is smaller than Zapier or n8n, so integrating niche SaaS products may require building custom integrations
Comparison with Similar Services
| Aspect | Jinba | Zapier | n8n | Dify |
|---|---|---|---|---|
| Main use | Enterprise AI workflow automation | SaaS-to-SaaS automation | Self-hostable workflow automation | LLM app and agent development |
| Build method | Chat / visual / YAML | Visual + AI assist | Node-based visual | Visual + prompt design |
| Deployment | API / batch / MCP server | Cloud only | Cloud / self-hosted | Cloud / self-hosted |
| Connectors | 100+ | 8,000+ | 500+ | Mainly major LLMs and tools |
| Free plan | Yes | Yes | Yes (self-hosted) | Yes |
Who Is It For
- Teams at companies that want to automate routine internal work with AI but have limited engineering resources
- Developers who want to call their automations from other systems and AI agents as APIs or MCP servers
- IT departments looking for an automation platform in environments with strict security requirements, such as SSO, audit logging, and on-premise deployment
- Teams that find general-purpose integration tools like Zapier insufficient and want to run LLM-powered workflows in production
Summary
Jinba is an enterprise AI automation platform whose defining strength is that chat-built workflows can go straight into production as APIs, batch processes, or MCP servers. It offers enterprise-grade security and on-premise support, though much of the pricing detail is available only on inquiry. A good approach is to try the flow from building to execution on the free plan first, then align requirements and costs when considering full adoption.