Agentic AI That Works. At Scale.

Create. Deploy. Control. Trust. Build and operate enterprise AI agents with confidence, governance and agility.

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From AI Pilots to Production-Grade Agentic AI

MLCode gives enterprises the operating model to create, deploy, control and trust AI agents at scale.

AI agents create value only when they can be deployed, monitored and governed in real business environments. MLCode helps enterprises move beyond isolated pilots and run agentic workflows with the confidence, security and control required for production.

The platform combines no-code agility, enterprise-grade governance and cloud-native deployment so teams can build useful agents quickly, connect them to the right tools and knowledge, and operate them safely across departments, use cases and environments.

  • Create agents and workflows without forcing every business team to become an AI engineering team.
  • Deploy agentic workflows across On-Cloud, Hybrid or Air-Gapped On-Prem environments.
  • Control quality, privacy, security, performance, token usage and cost from day one.
  • Trust every interaction with observability, governance, policies and measurable business outcomes.

Launch agents faster. Operate them safer. Scale them with confidence.

Two Products. One Enterprise Operating Model.

AgentKube helps teams create, orchestrate and deploy AI agents that connect to business tools, APIs, MCP servers and multi-agent A2A workflows.

HexaKube provides the observability, governance and protection layer required to run AI agents safely at enterprise scale, with visibility into quality, security, privacy, performance, tokens and cost.

Together, AgentKube and HexaKube help enterprises move from AI prototypes to production-grade agentic workflows across On-Cloud, Hybrid and Air-Gapped On-Prem deployments.

Build agents faster. Run them safer. Scale them everywhere.