Kore.ai Artemis: Build Enterprise AI Agents with AI, Not Code
Kore.ai launches the Artemis Agent Platform with a new YAML-based Agent Blueprint Language, letting enterprises design, build, and deploy AI agents using AI itself.
Kore.ai's Artemis — AI Building AI
Kore.ai launched the Artemis edition of its Agent Platform, a ground-up reinvention that lets enterprises build, govern, and optimize AI agents using AI itself. The company's CEO Raj Koneru describes the philosophy: "You design with AI, you build with AI, you test with AI, you deploy with AI, manage with AI, and optimize with AI."
Agent Blueprint Language — A New Standard
At the core of Artemis sits Agent Blueprint Language (ABL), a compiled, declarative YAML-based language that standardizes how AI agents, workflows, and multi-agent systems are defined and validated. Think of it as a universal specification for enterprise agents.
Taking on the Giants
Kore.ai enters a crowded field competing with Microsoft, Salesforce, Google, and ServiceNow — all racing to become the default infrastructure for enterprise AI agents. Kore.ai differentiates with platform neutrality and a philosophy that AI should do the heavy lifting, not human developers.
From Months to Days
Traditional enterprise agent development takes months of engineering work. Artemis compresses that timeline dramatically by having AI generate agent definitions, test scenarios, and deployment configurations automatically from high-level business requirements.
The Neutrality Play
Unlike vendor-locked solutions from Microsoft or Salesforce, Kore.ai positions Artemis as a neutral platform. Enterprises can connect it to any LLM, any data source, and any existing infrastructure — avoiding the lock-in that comes with choosing a single vendor's ecosystem.
Frequently Asked Questions
Q: What is Agent Blueprint Language? A: ABL is a YAML-based declarative language that defines AI agents, workflows, and multi-agent systems in a standardized, compilable format.
Q: Do I need to be a developer to use Artemis? A: No. The platform is designed for AI-driven agent creation, meaning business users can describe what they need and the system generates the agent automatically.
Q: How does Kore.ai compare to Microsoft Copilot Studio? A: Kore.ai emphasizes vendor neutrality and AI-generated agents, while Microsoft's solution is tightly integrated into the Microsoft 365 ecosystem.
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