karta
// use cases

Four jobs, one platform.

Different buyers, same runtime problem underneath: durable workspaces, isolation, identity, metering, spend control, and access surfaces. Karta solves it once; you pick the job.

// agent as a product

Ship the agent, not the infrastructure.

You bring domain expertise, methodology, and customers. Karta absorbs the production gotchas - durable workspaces, releases and rollback, verified identity, metering and hard spend caps - and adds monetization so your agent can bill its own customers.

A tutor, a tax adviser, a coach

Each customer gets their own durable computer: files, history, and progress that persist across sessions and releases.

Launch on your surface

Web embed, hosted chat, session API, or SDK - your brand, your pricing, your customer relationship.

Operate as a fleet

One release, many customers. Watch usage, roll back cleanly, and cap spend before it surprises you.

// embedded SaaS agents

Own your agent experience.

If the best agent for your product lives only in ChatGPT or Claude, your product becomes a tool behind someone else's interface. Karta lets you ship the frontier-grade agent inside your own product: your brand, your users, your billing.

Embed in days

Drop the widget into your app, or go headless with the session API and React SDK.

Your users, verified

Your app asserts who the user is; each user gets a durable per-user computer inside your product.

Meter it your way

Per-user usage attribution and spend caps, so agent cost maps to your plans and margins.

// made for the enterprise

Governed agents for employees and customers.

Advanced governance out of the box - verified identity, audit, approvals, multi-layered hard spend caps - and bring-your-own at every subsystem: harness, model, cloud, encryption keys, and observability.

The full fleet-operations story - releases, policy, audit, and spend control across every agent your organization runs - lives on the enterprise page.

// virtual employees

Teams of humans and AI.

Long-horizon agents that work like teammates: one virtual employee serves many users on a team-owned durable computer, keeps its own files and context, and picks up where it left off.

Team-owned computers

A roster of virtual employees, each on its own durable computer, owned by the team rather than any one person.

Proactive, not just reactive

Scheduled runs and triggers let an employee act on a heartbeat - not only when spoken to.

Accountable like any hire

Every action metered and audited, with hard spend caps per employee, per team, and per org.

Which job is yours?

Start with the platform, read the docs, or tell us about your use case.