Kore.ai launches Artemis AI agent platform, expands challenge to Microsoft and Salesforce

2026-05-21 · Source: VentureBeat · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Intermediate, medium

Summary

Kore.ai launched its Artemis AI agent platform on May 21, 2026, a significant overhaul of its core technology aimed at enabling enterprises to rapidly build, govern, and optimize AI agents using AI itself. This platform introduces the Agent Blueprint Language (ABL), a YAML-based declarative language for standardizing agent definitions and multi-agent orchestration, supporting six built-in patterns like delegation and agent-to-agent federation. A second innovation, Arch, is an AI system that translates natural language business requirements into production-ready ABL, automating design, deployment, and continuous optimization. For regulated sectors such as banking and healthcare, Artemis features a Dual-Brain Architecture, combining LLM-powered reasoning with deterministic business rule execution to ensure trust and compliance. While launching initially on Microsoft Azure with deep integrations, Kore.ai emphasizes vendor neutrality, supporting 175 AI models and multiple cloud environments. The company, which secured \$150 million in January 2024 as part of its approximately \$223 million total funding, serves over 500 Global 2000 customers, with 75% in regulated industries.

Key takeaway

For AI Architects evaluating enterprise AI agent platforms, Kore.ai's Artemis offers a compelling alternative to hyperscaler-native solutions. You should consider its AI-driven design, YAML-based Agent Blueprint Language, and Dual-Brain Architecture for robust governance and compliance, particularly in regulated sectors. This approach helps mitigate vendor lock-in by supporting diverse models and clouds. However, assess the future availability of a standalone ABL runtime for full portability.

Key insights

Kore.ai's Artemis platform automates enterprise AI agent lifecycle using AI, standardizing development and ensuring compliance.

Principles

• AI should automate agent design, build, and optimization.
• Standardized language is key for agent governance.
• Dual-Brain Architecture ensures trust in regulated AI.

Method

The Arch AI system translates natural language requirements into ABL, designs multi-agent topologies, generates code, deploys, and continuously optimizes agents based on usage data.

In practice

• Define agents using YAML-based ABL for version control.
• Employ Dual-Brain Architecture for regulated AI applications.
• Automate agent lifecycle from design to optimization.

Topics

• Kore.ai Artemis
• AI Agent Platforms
• Agent Blueprint Language
• Dual-Brain Architecture
• Enterprise AI Governance
• Multi-Agent Systems
• Vendor Neutrality

Best for: CTO, VP of Engineering/Data, AI Product Manager, Director of AI/ML, AI Architect, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by VentureBeat.