KayOS

AI-Native Infrastructure for Business Operations

Deploy and orchestrate custom AI agents that turn your fragmented operations into an integrated system.

Core Agents

Intel Agents

Intel Agents

Search and collect public or proprietary information across internal systems and the web to fuel decision-making.

Example: A research lab uses KayOS agents to track visibility and influence, scraping the web daily to quantify sentiment and surface relevant conversations.

Data Agents

Data Agents

Clean, standardize, and enrich scattered, unstructured documents into structured formats for analysis.

Example: A nonprofit used KayOS to standardize thousands of contracts and build interfaces. Tasks that took hours now complete in seconds.

Ops Agents

Ops Agents

Act on structured data to update dashboards, surface insights, prompt decisions, and automate workflows.

Example: An e-commerce brand replaced static dashboards with KayOS agents scanning hundreds of metrics daily, reducing time-to-insight dramatically.

Evaluations

All agents are coordinated by a Judge Agent, which continuously evaluates performance, routes tasks, and improves results through real-time feedback loops.

Why This Matters

AI is reshaping every enterprise function, but most companies are stuck at the starting line.

Tool Sprawl

Teams are overwhelmed by a patchwork of legacy systems and shallow AI apps that don't talk to each other.

Sensitive Data

Proprietary data can't be trusted to public tools. Enterprises need secure, private AI infrastructure.

Missing Context

Generic agents fail because they lack understanding of your workflows, systems, and real-world nuances.

Integration Complexity

Building custom AI that actually connects to internal systems and data pipelines requires time, talent, and technical depth most teams don't have.

Access Tiers

Agent Orchestration Framework

Open-source infrastructure to deploy, coordinate, and customize AI agents for your specific workflows and use cases.

Enterprise

Custom pilot program with deployed agents, followed by full infrastructure to orchestrate AI agents across your organization.

How KayOS Works

Onboarding

Every engagement starts with a focused 2–4 week custom pilot targeting a high-leverage pain point. By completion, our agents are deployed and performing real tasks in your organization.

Scale & Customize

Once successful, you gain access to customize, deploy, and orchestrate additional agents—each built on a shared context engine refined during the pilot.

Feedback-Driven Evolution

Our architecture is feedback-driven: the more your agents run and the more signal you provide, the smarter, faster, and more accurate they become.

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