Kindo: The AI-Native Automation Platform
The AI-native agent harness for technical operations – security, DevOps, and IT.
As a Kindo partner, RCG deploys, integrates, and operates the platform inside regulated, on-prem, and sensitive environments where conventional AI can't run.
What Kindo Delivers
What Is Kindo?
Kindo is an AI-native automation platform – described by Kindo as an AI-native agent harness – built for technical operations teams. It pairs a secure AI chat interface with autonomous agents that act on operator intent – moving beyond passive monitoring to actively resolve security, DevOps, and IT workflows. Agents connect to your existing stack through governed integrations, and every action runs under access controls, data-loss-prevention, and full audit logging.
Crucially, Kindo can run entirely within your own environment, so organizations that can't send data to external AI services still get modern automation. For the full product details, see kindo.ai and the Kindo documentation.

The Kindo Platform
The capabilities below are part of Kindo's platform. Learn more in the official Kindo documentation.
AI Chat
A secure conversational interface that lets teams query systems and act on the results, with policy guardrails applied to every prompt and response.
Agents
Autonomous agents that act on operator intent – triaging alerts, remediating issues, and carrying DevOps and security workflows through to completion.
Integrations
MCP-based connectors that give agents governed read and write access across your existing stack – Kubernetes, SIEM, CI/CD, ITSM, and more.
Governance
Role-based access, data-loss-prevention filters, and policy enforcement that keep automation inside your compliance boundaries.
Observability
Full audit logging, usage tracking, and metrics so every automated action stays traceable, reviewable, and accountable.
Deep Hat Model
Kindo's purpose-built model, tuned for infrastructure and threat behavior, so agents reason about operations rather than follow rigid playbooks.
How RCG Delivers Kindo
Readiness & Use-Case Design
We assess your environment and identify the highest-value SecOps, DevOps, and ITOps workflows to automate first – mapping goals to a practical rollout plan.
Secure Deployment
We stand up Kindo in SaaS, self-hosted, or air-gapped on-prem environments, aligned to your security architecture and data-residency requirements.
Integration & Agent Enablement
We connect Kindo to your existing tools through MCP and configure agents around your real operational workflows so automation fits how your teams work.
Governance & Compliance
We configure access controls, DLP, and audit logging so AI-driven automation meets your regulatory and internal compliance obligations.
Managed Operations & Optimization
We operate, tune, and support your Kindo deployment over time, refining agents and workflows so the platform keeps delivering measurable ROI.
Enablement & Support
We train your operators and administrators and provide ongoing support, so your teams build confidence and self-sufficiency with the platform.
Where Kindo Runs
Self-Hosted / On-Prem
Run Kindo inside your own environment – including regulated and restricted networks – with control over data residency, network boundaries, models, and supporting infrastructure. This is where RCG's operational depth matters most.
SaaS / Cloud-Managed
Adopt Kindo as a managed cloud service for faster onboarding, with the same core platform features and governance controls while Kindo manages infrastructure, updates, and availability.
Bring Governed AI to Your Operations
Whether you're evaluating AI automation for the first time or need it to run inside a regulated or on-prem environment, RCG can help you deploy and operate Kindo where the work actually happens.
Kindo, Deep Hat, and related product capabilities are trademarks and offerings of Kindo. Details on this page reference kindo.ai and the Kindo documentation.
