Deployment Overview
Kindo is available in two deployment models. Both provide the full feature set — agents, integrations, governance, and AI chat — with differences in hosting, data residency, and operational responsibility.
Deployment Models
SaaS (Cloud-Hosted)
Kindo manages the infrastructure. You sign up, sign in, and start working.
| Aspect | Details |
|---|---|
| Hosting | Kindo-managed cloud infrastructure |
| Updates | Automatic — always on the latest version |
| Data residency | Kindo-managed (US-based) |
| Models | 26+ models available immediately |
| Setup time | Minutes |
| Operational burden | None — Kindo handles infrastructure, scaling, and availability |
Best for: Teams that want to get started quickly without managing infrastructure.
Get started: Sign in and explore
Self-Hosted (On-Premises)
You deploy and manage Kindo in your own infrastructure using Kubernetes and Helm charts.
| Aspect | Details |
|---|---|
| Hosting | Your infrastructure (AWS, GCP, Azure, on-prem Kubernetes) |
| Updates | You control the upgrade cadence |
| Data residency | Your environment — data never leaves your network |
| Models | Bring your own models, including air-gapped DeepHat |
| Setup time | Hours to days depending on infrastructure readiness |
| Operational burden | You manage Kubernetes, databases, and service health |
Best for: Organizations with strict data residency, compliance, or air-gap requirements.
Get started: Self-Hosted Overview
Feature Comparison
Both deployment models include the same core features:
| Feature | SaaS | Self-Hosted |
|---|---|---|
| AI Chat | Yes | Yes |
| Agents (Chatbot, Workflow, Trigger) | Yes | Yes |
| Integrations (MCP) | Yes | Yes |
| DLP and Governance | Yes | Yes |
| RBAC | Yes | Yes |
| Audit Logging | Yes | Yes |
| SSO | Yes | Yes |
| API Access | Yes | Yes |
| DeepHat | Hosted | Self-hosted on your GPUs |
| Custom Model Hosting | No | Yes |
| Air-Gap Support | No | Yes |
Choosing a Model
Consider self-hosted deployment if you need:
- Data sovereignty — All data stays in your environment
- Regulatory compliance — Deploy into FedRAMP, PCI-DSS, or GDPR-compliant environments
- Air-gapped operation — Run without internet connectivity
- Custom models — Host proprietary or fine-tuned models on your own GPUs
Self-Hosted Deployment Path
Infrastructure Requirements Hardware, software, and network prerequisites.
AI Model Deployment Deploy and configure the AI models powering your installation.
Installation Guide Step-by-step Helm chart deployment.
AWS Deployment Terraform-based deployment on AWS.
Observability Monitoring, metrics, and logging setup.