Meet {Artemis}

Kore.ai Agent Platform
Meet { Artemis }
Built with AI from the ground up { Artemis } leverages years of enterprise experience. Agents running on { Artemis } thrive in complex, high volume, regulated workflows where other agents break. This is the AI-native platform that experience made possible.
Get Demo{ Artemis } handles the infrastructure; your team starts at the business logic. Team focuses on outcomes. Agents ship faster.
5x
faster time to value
Every agent is clearly defined, tested, and validated before deployment, so what works in design does not break in production.
No
surprises in production
Every action stays within approved policies and boundaries, with full visibility into what happened and why.
Zero
unauthorized agent actions


AI Programmable is the new AI advantage
AI builds, runs evals, and optimizes quality agents for production with speed
Evaluate, trace, and audit every agent session, that's 100% observability
Your logic is built to outlast innovation, regardless of the model
Invented for the agentic era. Shaped by a decade
of hard-earned enterprise AI learnings.

Auto Loop is powered by proprietary technology that eliminates weeks of manual agent engineering by continuously improving agents against outcomes that matter before and after deployment.
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.


ABL is a typed, schema-driven language purpose-built for agentic AI. It lets enterprises define agent behavior, tools, guardrails, orchestration, and handoff logic in a formal, structured way.















AI is on an exponential growth curve; the Al-programmable platform rides it by design. Every model gain in reasoning, tool use, and context lands inside your agents automatically. No rebuild. No catch-up.

ABL is a purpose-built compilable agent language for AI agents. Using ABL cuts thousands of code hours. Faster production; highest quality.

Agents run in parallel, each with a bounded context. One agent failing won’t unwind everything.

Engine-enforced constraints. An LLM can’t override them. Auditable proof of policy.

We validate at compile time to always avoid broken orchestration logic at runtime.

{ Artemis } generates compiler-validated ABL definitions against your full topology.

{ Artemis } sets new standards for evaluation, traces, and audits every session. Most sample 5 – 10%.

Application definition is independent of the LLM. Swap models; the ABL still executes.

{ Artemis } runs scripted and reasoning AI on the same session infrastructure.

The platform does the work. No engineer required at every step.