Experienced team
that builds—and
keeps making
it better.
We build AI automation for customer support, retention and related business workflows. Our focus is the whole process: how it works, where it fails and how to make it more accurate and efficient.
From agents and integrations to broader software development, our engineers can own a defined project or work alongside your team. Hourly, fixed price or small milestones.
customer operationsHeadwayNova PoshtaKyivstar
AI action accuracy
Correct actions—not just convincing answers.
Savings on refunds
With the Negotiator agent.
Reported operational results. Outcomes vary by deployment, business policy and workload; these figures are not a guarantee for every project.
From a request
to a resolved task.
A customer asks to change a subscription. Varex can check the account, make an allowed change and confirm the result in the same conversation. Your team handles the exceptions instead of repeating the checks.
Negotiator looks for the problem behind a cancellation or refund request. Where an approved alternative fits, the customer gets a reason to stay. Where it does not, their decision is respected.
AutoFlow puts this approach into practice: it builds and tests support flows from your Zendesk history, then helps improve them as your support work evolves. Less manual setup, less repeated work to maintain the AI support you run.
Explore the product ↗The right expertise.
Where you need it.
Keep what already works. Add the capability you need, or fix the part that is holding the product back.
AI & software
engineering
Agents, product features, APIs and interfaces. Bring AI/ML, backend, frontend and architecture expertise into your project.
↗02AI support &
retention
AI agents for Zendesk. Resolve requests, adapt the conversation and offer relevant alternatives—with your policies in control.
↗03Evaluation &
improvement
Turn recurring failures into test cases. Find the cause, review the change and improve what happens in production.
↗Move the work forward.
Keep the judgment.
Meet the method ↗Experienced architects set the direction.
Your domain knowledge meets our engineering judgment. Define what a useful result looks like.
AI helps do the work.
Investigate code, draft implementation and prepare tests. Reuse sound groundwork.
Engineers verify it.
Check the behavior, edge cases and integration. Approve changes against clear criteria.
Real use informs the next step.
Review failures, test targeted fixes and measure whether the change helps.
Less repeated work.
More useful
engineering.
A sound existing component is work you do not need to commission again. AI helps with routine implementation and tests; our engineers focus on architecture, integrations and the cases that need judgment.
We can work in your existing codebase and use what your tools already handle. That keeps the scope focused on the capability you need rather than a replacement for everything around it.
Find the right engagement ↗Your brand.
Our AI product.
Varex is already sold through white-label partners. Integrators can start with the product and put their effort into the client’s systems, rather than rebuilding the same AI foundations for each project.
Outsourced support teams can add branded automation to the service they already deliver. Bring the customer relationship and operational knowledge; use our product and engineering expertise for the AI layer.
Explore a white-label partnership ↗Start with
one workflow.
Make the next decision with evidence.
Choose a recurring support task or a difficult integration. We agree a small milestone, build a working path and test the result—so you can see what a wider rollout would involve.
Scope a first milestone ↗