Enterprise

Scale proactive agents with us.

We build agents around your software, your workflows, and the problems costing your team time.

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Start with one workflow. Grow from there.

Find bugs before your users do.

Fuzzy testing. Security analysis. Clear, reproducible findings.

Example workflow
Kavela/Product quality Staging · Before release
Explore checkout flows
QA agent
In progress
Review authentication changes
Security analysis
Completed
Reproduce payment errors
Browser testing
Completed
Ready for your team

Checkout can submit twice.

Needs review
Steps to reproduce
Browser recording
Working in your existing tools. GitHub PostHog Lark

Built around your company.

We map the workflow, connect the right systems, and build an agent around how your team works.

Company context
Critical user journeys
Release checklist
Codebase
Updated with your team’s feedback

Agents that evolve with the work.

As your software and priorities change, we refine the context, routines, and review steps with you.

Understand
Start with the problem and define a useful result.
Build
Connect your systems and put the first agent to work.
Refine
Review real runs and improve the next one.
QA & security
Test critical flows
Research & reporting
Keep teams informed
Internal knowledge
Put company context to work
Sales operations
Keep follow-ups moving

Questions teams ask.

How do we find bugs before our users do?

Give an agent the flows that matter, like signup and checkout, and let it explore them on staging before each release. It fuzzes inputs, reviews risky changes, and hands your team each finding with steps to reproduce and a browser recording.

What does working with Kavela look like?

Bring us one problem. We map the workflow, connect the right systems, and build the first agent with you. Then we review real runs together and refine the context, routines and review steps as your software changes.

Which tools do the agents work in?

Your existing ones. Agents work in GitHub, PostHog, Lark and any other service your team uses, through its API, an MCP server, or a real browser sign-in. Passwords never pass through the model.

Do the agents act without our review?

Anything that needs a person waits for your team's review: a finding, a sign-in, a deploy, a message going out. Everything else runs on its own, in the cloud, on the schedule you set.

Bring us one problem.

Let us into your data and problems, and we will build solutions for you.

Talk to us