AI product development

AI attached to a useful product workflow.

Underlabs builds AI-enabled applications, supervised automations and integrations grounded in real product needs.

The useful question is not where to add a chatbot. It is where classification, extraction, generation, vision or assisted decisions can remove work without removing control.

Discuss your project

Who it is for

Product and operations teams with a specific workflow, information bottleneck or decision that could benefit from carefully supervised AI.

What we deliver

Product framing, model and provider evaluation, retrieval and tool integrations, human review paths, application UX, back-end orchestration, observability and fallback behavior.

  • AI-enabled mobile and web products
  • Existing-product integrations
  • Supervised automations
  • Evaluation and release safeguards

What affects cost and timing

Data readiness, model uncertainty, privacy, integrations, evaluation requirements and the cost of a wrong answer shape the architecture.

What to prepare

Bring representative inputs, the desired output, current manual process, acceptable error boundaries and who must review or approve results.

Relevant experience

Products connecting the interface to the system.

FAQ

Common questions

Do we need our own AI model?

Usually not. Many products are better served by integrating established models with domain context, tools, permissions and evaluation.

How do you reduce AI risk?

We define boundaries, use structured outputs where useful, add human review for consequential steps and test against representative cases.

Can AI be added to an existing product?

Yes, when the workflow and value are clear. We first identify the smallest useful integration and its operational safeguards.