Kairos is a core participant in the 'Action' layer of the AI agent stack. By developing a dedicated browser environment specifically for agentic use, they are tackling the reliability issues typically associated with web-based LLM agents. They are championing a 'show, don't just tell' interaction model that simplifies agent training for non-technical users, which is a critical hurdle for widespread agent adoption.
In the broader ecosystem, Kairos acts as a bridge between static software interfaces and generative AI. They are part of a trend moving away from simple API wrappers toward agents that possess digital agency—the ability to navigate the web, bypass login screens, and manipulate UIs. For builders, they provide a reference for how agents can be deployed as background services that deliver results asynchronously rather than just responding to real-time prompts.
Kairos is built on the premise that the next stage of artificial intelligence is execution. While large language models have become proficient at generating text and code, they often remain trapped within a chat window, unable to interact with the software where actual work happens. Kairos addresses this by providing an agent that operates a dedicated browser. This allows the system to log into applications, click buttons, fill out forms, and extract data across the web. Based in San Francisco, the company focuses on turning high-level natural language instructions into multi-step workflows that can run autonomously.
Traditional automation platforms like Zapier rely entirely on APIs. If a service does not have an official integration or a specific endpoint, the automation breaks or becomes impossible to build. Kairos sidesteps this limitation through its dedicated browser. Because the agent can 'see' and interact with the user interface, it can navigate websites just as a human would. This is particularly useful for tasks involving legacy software or platforms with restrictive APIs.
To complement its browser capabilities, the platform maintains native integrations with over 20 common productivity tools, including Gmail, Notion, Google Sheets, Slack, and GitHub. These integrations allow the agent to move data between different parts of a company's stack. For example, a user can instruct the agent to monitor an inbox for refund requests, check the internal refund policy in a Notion doc, process the transaction in a billing portal, and then send a confirmation via Slack.
One of the most distinct features of the platform is how it handles complex instruction. Users are not restricted to writing long, detailed prompts to describe a workflow. Instead, Kairos includes a feature that lets users share their screen and walk the agent through a task once. By narrating the steps and showing the specific buttons to click, the user 'trains' the intern. The system learns the sequence and can then repeat it on a schedule or trigger it based on incoming data.
This approach lowers the technical barrier for departments like HR and Marketing. An HR recruiter can show the agent how to filter candidates in Greenhouse and schedule interviews on a calendar. A marketing manager can demonstrate how to pull metrics from various social media platforms to compile a weekly report.
The company uses a usage-based pricing model centered on 'compute units.' This treats the agent's work more like a cloud computing resource than a seat-based SaaS product. There is a free tier for basic automation, with paid tiers scaling up the available compute units and adding features like SMS and WhatsApp triggers. For larger organizations, the company offers custom connectors and tailored agents designed to sit inside internal systems. By framing the product as an 'intern,' the company is betting that users want a digital workforce that handles the repetitive clicks of the workday without requiring a background in software engineering.
A personal AI intern that automates complex browser-based and app-integrated workflows.
Kairos is hiring.