India, May 22, 2026: Kore.ai, the global leader in agentic platforms and applications, today launched the new-generation Kore.ai Agent Platform Artemis edition, the AI-programmable, AI-native foundation that builds, governs, and optimizes the agents, systems, and workflows running across the enterprise. The platform launches initially on Microsoft Azure, with broader cloud availability to follow.
The new-generation Kore.ai Agent Platform enables enterprises to deploy production-ready multiagent AI systems in days instead of months, with governance, observability, and operational control enforced before any agent goes live. Three core innovations make the platform fundamentally AI-native:
Agent Blueprint Language (ABL): ABL is a compiled, declarative language that standardizes how AI agents, systems, and workflows are defined, validated, and governed. Six built-in orchestration patterns (supervisor, delegation, handoff, fan-out, escalation, and agent-to-agent federation) enable resilient, production-grade multiagent systems at scale.
Arch : Kore.ai’s AI agent architect translates business objectives into production-ready ABL, supports the full agent lifecycle, designs the underlying agent topology, and continuously refines agents using real-world production traces.
Dual-Brain Architecture: Two cognitive engines (combining agentic reasoning and deterministic flows) operate in parallel through shared memory, authored in a unified language and governed by a single runtime.
The platform operates independently of the model, keeping AI systems predictable, auditable, and scalable from experimentation to production-grade operations.
“Enterprise AI is entering its third wave, where governance, observability, and trust define success at scale,” said Raj Koneru, CEO and Founder, Kore.ai. “The Kore.ai Agent Platform reflects this shift by bringing an AI-native architecture to market that enables enterprises to build, manage, and optimize multiagent systems with confidence. This level of depth comes from a decade of delivering AI experiences in complex, regulated environments, where scale, compliance, and reliability are non-negotiable.”
“We’ve had early visibility into the Kore.ai Agent Platform, and the architectural rigor stands out. Compiled blueprints, governance in a separate deterministic layer, and one language for every agent are the design choices enterprise AI has been missing”, said, Keyur Parikh, Head of Workplace Technology Strategies and Services, Vanguard
