Kore.ai Agent Platform {Artemis}

The Kore.ai Agent Platform {Artemis} is an AI-native platform for building, running, and governing programmable agent systems at enterprise scale. The platform unifies conversational AI and agentic AI under a single programming model, so a single agent definition can combine deterministic workflows with autonomous reasoning.

Key Capabilities

• Agent Blueprint Language (ABL): ABL is a typed, schema-driven domain-specific language that produces an intermediate representation (IR) that the runtime can execute. 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 (AI Solution Architect): Arch is the platform's built-in AI solution architect. It turns plain-language intent into a complete agent system—including agents, workflows, tools, policies, and handoffs—and helps teams build, manage, and optimize AI agents.
• 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. Guardrails—both input and output—are enforced at the platform layer, not by the model. Business rules can execute deterministically when precision matters, while the LLM handles conversational responses and reasoning where appropriate.
• Governance & Observability: Artemis sets new standards for evaluation, traces, and audits every session. Every decision, path, and outcome is logged, traced, and analyzed by real-time. Deterministic constraints and flow controls are enforced by the platform itself, not left to the agent.
• Model Agnosticity: The platform operates independently of the model, keeping AI systems predictable, auditable, and scalable from experimentation to production-grade operations.

Audience & Use Cases

• Audience: IT leaders, platform architects, and development teams in regulated enterprises (banking, healthcare, retail, telecommunications).

Use Cases:

• The platform consolidates fragmented third-party and home-grown agents into one foundation and accelerates delivery from quarters to days across every department and business unit.
• In healthcare scenarios where agents process prescription refills for millions of consumers, or in banking where agents advise clients on portfolio management, deterministic execution and governance are critical.

Technical Specifications

• Deployment: The platform launches initially on Microsoft Azure, with broader cloud availability to follow.
• Infrastructure: The runtime is horizontally scalable and has a substantially smaller infrastructure footprint than Platform 1.0. For equivalent workloads, customers can expect at least a 50% reduction in infrastructure footprint relative to a Platform 1.0 deployment, with no reduction in capability.
• Compliance: SOC 2 Type II, ISO 27001, PCI DSS certified; FedRAMP Moderate Authorized; HIPAA-aligned; HiTrust and GDPR compliant.
• Integration: The platform supports 40+ voice and digital channels and 300+ integrations across Microsoft A365, Salesforce, HubSpot, Jira, GitHub, and core banking, healthcare, retail, and telecom systems.