Meet { Artemis }

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 days }

{ 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

Get to ROI faster

AI builds, runs evals, and optimizes quality agents for production with speed

Govern with certainty

Evaluate, trace, and audit every agent session, that's 100% observability

Built to be future ready

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.

{ Pillars }

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.

Faster time to value

Build with AI

Build AI agents five times faster.

Trusted in production

Scale with AI

Operate AI agents with provable reliability and control, in production, at scale.

Move AI agents into production across workflows, systems, and channels.

Production at scale

Trust agents in production with visibility into how they perform and impact the business.

Production at scale
Better with every run

Optimize with AI

Turn every agent run into a signal for incremental improvement.

Compounding gains

Performance

Ride the curve

Your agents inherit the curve

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.

Same investment compounding return
Enterprise ecosystem

Foundation

Plugs into the stack you already run on

Models

OpenAI
Meta
Cohere
Gemini
Mistral

Channels

Slack
Microsoft Teams
Zoom
Genesys
Webex
Voice

Data sources

Salesforce
ServiceNow
Zendesk
Epic
ServiceNow
SAP

Cloud / Infra

AWS
Azure
Google Cloud
VPC
On Premise
Hybrid
0:00
0:00

A real difference with AI

Nine ways the Kore.ai Agent Platform does the work.

AI Tab BG 01
Build with AI
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.

AI Tab BG 02
Orchestrate with AI
Others route. We orchestrate.

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

AI Tab BG 03
Prove with AI
Deterministic; not probabilistic.

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

AI Tab BG 04
Test with AI
Zero production surprises.

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

AI Tab BG 05
Deploy with AI
System aware vs. operating in the blind.

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

AI Tab BG 06
Govern with AI
100% of AI interactions audited

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

AI Tab BG 07
Scale with AI
Your logic uniquely outlasts the model.

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

AI Tab BG 08
Simplify with AI
The need for two AI systems eliminated.

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

AI Tab BG 09
Optimize with AI
Optimization is no longer manual forensics.

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

Get started with { Artemis }

Start AI-progamming your next AI Agents

Auto Loop™

Auto Loop™

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.

The Auto Loop™ Advantage

Free engineers to build

Issues across every AI agent get found and fixed as they come, before launch and after, so engineers spend time expanding automation instead of catching up on fixes.

Go from build to launch in days

Auto Loop continuously validates, repairs, and retests every change, so agents reach production quality in days instead of weeks.

Optimize for outcomes that matters

Auto Loop keeps optimizing latency, cost, and conversation quality, so agents get faster and cheaper to run the longer they're in production.

Ship with measurable proof of readiness

Objective evidence shows whether an agent or change is ready to deploy, giving teams confidence to ship agents, especially in regulated environments.

Validate the SOP before the agent

Auto Loop first resolves gaps and ambiguity in the SOP, so agents are built and tested against logic that actually holds up.

How it works

The Builder
Auto Loop™

Get started with { Artemis }

Start AI-programming your next AI Agents

ABL™

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.

The ABL™ Advantage

Standardize agent development

ABL gives every team a common way to define agents, tools, guardrails, and orchestration, so agents are built consistently across the enterprise.

Ship AI agents faster

ABL replaces custom orchestration code with structured agent definitions, built-in primitives, and runtime-managed execution.

Scale autonomy without losing control

Policies are enforced outside the LLM, so agents can reason while staying within approved business, security, and compliance boundaries.

Support a broader portfolio of use cases

Reasoning and deterministic flows work together, so teams can support simple, complex, predictable, and judgment-heavy workflows on one foundation.

Make agent behavior explainable

ABL provides step-by-step visibility into not only what the agent did, but also why it did it.

How it works

The Builder
ABL™

Get started with { Artemis }

Start AI-programming your next AI Agents

Arch™

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.

The Arch™ Advantage

Build faster across teams

Turn plain-language intent into agent designs and ABL, so business experts can contribute and technical teams can ship faster.

Guide teams across the full agent lifecycle

Move from idea to design, build, test, deployment, and optimization with Arch guiding every step.

Reuse proven patterns

Start from tested agent architectures instead of reinventing topology, tools, policies, and handoffs for every use case.

Generate agents built to ship

Arch creates ABL, so every agent is structured, validated, governed, and observable.

Improve with every run

Arch uses traces, performance signals, policy checks, and changing requirements to recommend and apply improvements continuously to improve business outcomes.

How it works

The Builder
Arch™

Get started with { Artemis }

Start AI-programming your next AI Agents