KORE.AI AGENT PLATFORM
Meet { Artemis }
The AI-programmable platform for the agentic enterprise
The foundation for building AI agents with certainty.
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.
What { Artemis } changes for enterprise AI
{ Outcomes in day }
{ Artemis } handles the infrastructure; your team starts at the business logic. Team focuses on outcomes. Agents ship faster.
5x
faster time to value
{ Predictability at Scale }
Every agent is clearly defined, tested, and validated before deployment, so what works in design does not break in production.
No
surprises in production
{ Security + Governance }
Every action stays within approved policies and boundaries, with full visibility into what happened and why.
Zero
unauthorized agent actions
No more
{it worked} in
the [Demo]
{ Artemis } has compiled IR, explicit memory contracts, typed trace events for every decision, cycle detection, and real observability.
AI agents
that move
metrics
{ Artemis } delivers reliability across complex, high-volume, regulated workflows, continuously running, testing, and optimizing the metrics that matter.
{ Artemis } is designed for what actually matters to an enterprise
AI Programmable is the new AI advantage
AI builds, runs evals, and optimizes quality agents for production with speed
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.
The two pillars behind the AI-native foundation for agentic AI
Agent Blueprint Language (ABL™)
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.
™ARCH
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.
Build.
Scale.
Optimize.
Build with AI
Build AI agents five-times faster.
Scale with AI
Operate AI agents with provable reliability and control, in production, at scale.
Optimize with AI
Turn every agent run into a signal for incremental improvement.
Performance
Ride the curve
Your agents inherit the curve
Al 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.
Foundation
Plugs into the stack you already run on
Models
Channels
Data sources
Cloud / Infra
A real difference with AI
Nine ways the Kore.ai Agent Platform does the work.
Nobody else has ABL™
ABL is a purpose-built compilable agent language for AI agents. Using ABL cuts thousands of code hours. Faster production; highest quality.
Others route. We orchestrate.
Agents run in parallel, each with a bounded context. One agent failing won’t unwind everything.
Deterministic; not probabilistic.
Engine-enforced constraints. An LLM can’t override them. Auditable proof of policy.
Zero production surprises.
We validate at compile time to always avoid broken orchestration logic at runtime.
System aware vs. operating in the blind.
{ Artemis } generates compiler-validated ABL definitions against your full topology.
100% of AI interactions audited
{ Artemis } sets new standards for evaluation, traces, and audits every session. Most sample 5 – 10%.
Your logic uniquely outlasts the model.
Application definition is independent of the LLM. Swap models; the ABL still executes.
The need for two AI systems eliminated.
{ Artemis } runs scripted and reasoning AI on the same session infrastructure.
Optimization is no longer manual forensics.
The platform does the work. No engineer required at every step.
