Our Mission
Turn AI chaos into controlled,
enterprise-grade execution and sovereignty.
We make AI actually work in real enterprises.
Why we exist
Every major platform shift in technology created power before it created control. AI is following the same path -- only faster and more expensively.
The Problem
Enterprises are adopting AI at unprecedented speed, but without visibility, governance, or control. Shadow AI proliferates, costs spiral, compliance gaps widen, and engineering teams spend more time managing infrastructure than building products.
Our Approach
We build the infrastructure layer that sits between your applications and AI providers. One control plane for routing, credentials, observability, and governance -- so your teams can move fast without losing control.
What we believe
Our values guide every product decision, from architecture to user experience.
Enterprise-Grade Security
Every feature we build starts with security and compliance at the foundation. We believe AI governance is not optional -- it is the prerequisite for AI adoption at scale.
Complete Visibility
You cannot govern what you cannot see. We give organizations full observability into every AI interaction, cost, and decision across their infrastructure.
Operational Excellence
AI should accelerate your business, not slow it down. We build tools that reduce operational complexity so teams can focus on building, not managing infrastructure.
Customer-Driven Development
Our roadmap is shaped by the enterprises we serve. We solve real problems faced by real engineering teams deploying AI in production environments.
What we're building
A comprehensive platform for enterprise AI governance, starting with the infrastructure that every AI-powered organization needs.
LLM Gateway
A Kubernetes-native inference gateway that routes AI requests through a single OpenAI-compatible endpoint to 18+ providers. Automatic failover, weighted load balancing, centralized credential management, and built-in observability.
Learn more about LLM GatewayMCP Gateway
A centralized control plane for AI agent tool access via the Model Context Protocol. Manage, restrict, and audit every tool your agents can reach — with built-in rate limiting, traffic filtering, prompt injection protection, and full observability through a single gateway endpoint.
Learn more about MCP GatewayA2A Gateway
An enterprise control plane for agent-to-agent communication using Google's open A2A protocol. Authenticate, authorize, and audit every message between your AI agents — with identity verification, rate limiting, circuit breakers, and full observability through a single governed gateway.
Learn more about A2A GatewayVibeFlow
An autonomous AI development platform that orchestrates entire software teams — from design and architecture to coding, testing, and deployment. Multi-persona AI agents work 24/7 with built-in governance, compliance tracking, and full audit trails across every sprint.
Learn more about VibeFlowMore products are on the roadmap. We are building the full enterprise AI governance stack -- from inference routing and agent tool governance to compliance automation, cost management, and beyond.