Kore.ai Agent Platform (Artemis)

Artemis is the May 2026 generation of the Kore.ai Agent Platform, used to build, govern and optimise production multi-agent systems for customer service, employee productivity and process automation. It targets large regulated enterprises that need agents defined in a governed, compiled language with audit trails, deterministic guardrails and deep Microsoft integration.

The Kore.ai Agent Platform is an enterprise system for designing, deploying and operating AI agents, and Artemis, launched on May 21, 2026, is its current AI-native generation, succeeding the older XO (Experience Optimization) platform. Artemis rests on three pieces. Agent Blueprint Language (ABL) is a compiled, declarative, YAML-based language that standardises how agents, systems and workflows are defined, validated and governed, and it includes six built-in orchestration patterns: supervisor, delegation, handoff, fan-out, escalation and agent-to-agent federation. Arch is an AI agent architect that turns business objectives into production-ready ABL, designs the agent topology and refines agents using production traces. A dual-brain architecture runs LLM reasoning and deterministic business-rule flows in parallel over shared memory under one runtime, which matters in regulated industries where some steps must never be improvised. Governance is enforced at the platform layer, with real-time PII tokenisation, immutable audit trails, tenant isolation and full tracing of every agent decision. Artemis launched first on Microsoft Azure with native Foundry, Agent 365, Entra ID and Microsoft Graph integration, with broader cloud availability planned; the wider platform runs on Azure, AWS, Google Cloud and on-premises and supports 175 models. Kore.ai says it serves more than 500 Global 2000 organisations, 75% in regulated industries, across 40+ channels and 300+ integrations, and has raised roughly $223 million, including a $150 million round in January 2024 led by FTV Capital with Nvidia participating.

Category

AI Agents & Orchestration

Pricing

Usage-based, Contact for pricing

Target Market

CIOs, CTOs, Heads of Customer Experience, Enterprise Developers, AI Platform Teams

Deployment

Cloud-first, Multi-cloud, Self-hosted

Founded

2014

Headquarters

Orlando, Florida, USA

Customers

500+ Global 2000 organisations

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  Agent Blueprint Language (ABL)

  Compiled, declarative YAML-based language that standardises how agents and workflows are defined, validated and governed across teams.

• ✓
  Arch AI architect

  Translates business objectives into production-ready ABL, designs the agent topology and refines agents from real production traces.

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  Six orchestration patterns

  Built-in supervisor, delegation, handoff, fan-out, escalation and agent-to-agent federation patterns for resilient multi-agent systems without custom plumbing.

• ✓
  Dual-brain architecture

  Runs LLM reasoning and deterministic business-rule flows in parallel over shared memory, so regulated steps stay predictable.

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  Platform-layer governance

  Real-time PII tokenisation, immutable audit trails, tenant isolation and tracing of every agent decision, mapped to regulatory controls.

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  Native Microsoft integration

  Works with Azure Foundry, Agent 365, Entra ID, Microsoft Graph and Teams, fitting agents into existing Microsoft estates.

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  Model and channel breadth

  Supports 175 AI models, 40+ channels and 300+ enterprise integrations, reducing lock-in to any single model vendor.

• •
  Pharmacy contact-centre automation

  A major US pharmacy chain handling 750 million consumer calls a year deployed Kore.ai agents to 9,000 stores within six months.

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  Financial-advisor knowledge assistant

  A global investment bank gives more than 30,000 financial advisors governed AI access to proprietary research and data through agents.

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  Employee service desk

  A 35,000-employee semiconductor manufacturer automates HR, IT, legal and facilities requests with agents, reducing tickets handled by staff.

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  Governed multi-agent customer service

  A regulated bank uses supervisor and escalation patterns so agents resolve routine requests while deterministic flows handle authentication and compliance steps.

Kore.ai does not publish Artemis list prices. Its documentation meters automation in 15-minute sessions (a 31-minute conversation counts as three) and bills Contact Center AI and Agent AI per named or concurrent agent seat, with Enterprise on custom contracts. A third-party review (aissist.io, 2026) estimates enterprise deals around $90,000 in the first year; treat that as directional.

This page was written from 6 sources, 4 on domains other than kore.ai.

1. 1.kore.ai — kore.aivendor
2. 2.kore.ai — kore ai launches artemis the new generation of the kore ai avendor
3. 3.docs.kore.ai — usage plans
4. 4.venturebeat.com — kore ai launches artemis ai agent platform expands challenge
5. 5.helpnetsecurity.com — kore ai unveils ai native platform for enterprise multiagent
6. 6.aissist.io — kore ai review