Kubernetes-native agentic AI platform where developers create agents in simple YAML configs. Internal operations, customer-facing features, business workflows — all self-hosted and scalable.
Every team wants to deploy AI agents for their specific use cases — infrastructure automation, data processing, customer support, business workflows. You need a platform that makes agent deployment as simple as any other Kubernetes workload.
Teams build agents in isolation without shared tools or knowledge. Managing agent lifecycle, scaling, and interactions becomes a nightmare across multiple use cases.
Per-token pricing from SaaS AI services makes scaling agents prohibitively expensive. Cost predictability becomes impossible as agent usage grows.
Regulated industries can't send business data to external AI services. Compliance requirements demand self-hosted, auditable AI systems.
Three core capabilities that make deploying agents as simple as deploying any other Kubernetes workload.
Create agents using simple YAML configurations — just like any Kubernetes resource. Define agent capabilities, tools, memory, and permissions. Deploy via GitOps alongside your other workloads.
Agents run on your infrastructure with self-hosted LLMs, security gateway, and agent memory. No external API calls, complete data sovereignty, cost-optimized with Kubernetes autoscaling.
Build complex workflows where agents collaborate via Model Context Protocol (MCP). Shared tools, knowledge bases, and agent memory enable sophisticated multi-agent systems.
Deploy AI capabilities across your organization and embed intelligence into your products.
Auto-resolve K8s alerts, scale resources, manage deployments
Pipeline monitoring, quality checks, anomaly detection
Approval processes, compliance monitoring, task automation
Help customers choose optimal cloud instances, cost analysis
Product suggestions, configuration optimization, usage insights
Risk assessment, performance analysis, predictive insights
Everything runs inside your infrastructure. Self-hosted platform, your cloud, your rules.
YAML-defined agents deployed via GitOps. Same change management you already use. Agents are version-controlled, auditable, and reviewable across all use cases.
Zero data sent to OpenAI, Anthropic, or any external API. LLMs run on your GPU nodes inside your VPC. PCI-DSS, HIPAA, SOC2 compatible.
Secure API gateway for both internal operations and customer-facing AI features. Authentication, rate limiting, audit trails, and content filtering. Perfect for building AI-powered product features.
Self-learning memory that enables agents to build knowledge over time. World Facts, Experience Facts, and Mental Models that improve agent performance.
No rip-and-replace. Plugs into the tools your team already uses.
Built for regulated industries where data sovereignty isn't optional.
Zero data sent to external AI providers. Models run on your GPU nodes in your VPC.
Every agent action is logged, timestamped, and attributable. Complete visibility for compliance.
Agents propose actions, humans approve — until your team is confident enough to enable autonomous mode.
Deployed via ArgoCD with the same change management, PR reviews, and rollback capabilities you already use.
If your agents don't measurably improve operational efficiency within 60 days, you get a full refund. No questions asked.
Schedule a Demo →Proven across multiple use cases • Enterprise-ready • Self-hosted security