Kindo

What it does

Kindo is an enterprise platform for building and operating AI agents and governing agents created elsewhere. Technical teams can build agents in natural language, or use a conversational interface to investigate questions and initiate controlled technical work. Runs can be triggered by events, schedules or operator requests. IT, security, compliance and finance teams can use the platform to inventory AI activity, set access and approval rules, monitor agents, and review recorded actions and costs.

The platform supports SaaS, self-managed cloud, on-premises and air-gapped deployments. It is described as model-agnostic and supports connecting enterprise systems and external agents, but the vendor information does not enumerate specific supported integrations. Documentation offers paths for evaluation, on-premises installation, administration and REST API integration. To begin, prospective customers can request a demo; the contact page also invites inquiries about a trial. Pricing is not published in the vendor documentation.

What it can do

• Discover AI providers, agents, users, activity, data relationships and spend across supported sources
• Build reusable agents and workflows in natural language
• Govern agent access to models, data, MCP servers and credentials, including approval requirements
• Schedule or trigger agent runs from events, schedules or operator requests
• Monitor agent status, cost and ownership; pause or adjust runs and route failures to owners
• Record human and agent actions, data access, tool use, decisions and outcomes in an audit trail

Works with

• REST API
• MCP servers
• Cloud platforms
• Kubernetes
• Code repositories
• SIEM
• ITSM
• Identity systems
• Schedulers
• Internal APIs

Before you choose

• Kindo is positioned for enterprise deployments, and a demo or sales conversation is the published product starting route.
• The exact configuration for on-premises or air-gapped use depends on the models, integrations and identity services required by selected workflows.
• No public product pricing or details of potential model and compute charges are given in the vendor documentation.

Listed under

• Coding
• MCP and agent tools
• AI agents
• AI cost management
• AI governance
• DevOps
• Enterprise
• IT security

Get started

The site offers a demo request; documentation also provides an evaluation path.

1. Request a demo or contact Kindo to discuss evaluation or trial options.
2. Select an evaluation or deployment path; on-premises installation is documented.
3. For an API integration, follow the REST API documentation; administrators can configure SSO, RBAC, governance policies and security controls.

Pricing and billing basis are not stated in the vendor information. Potential model or compute charges are also unspecified.

Kindo doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

• AI Management Platform | Kindo ↗www.kindo.ai
• Kindo Docs | Kindo Docs ↗docs.kindo.ai
• Contact Us | Kindo ↗www.kindo.ai
• About Kindo: Pioneering AI-Native Security & Automation | Kindo ↗www.kindo.ai
• AI Management Platform | Kindo ↗www.kindo.ai

Company website

kindo.ai: product, pricing and policy pages

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Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.