KivvaTech
AI Engineering

AI-Driven Product Engineering

Ship AI-native products that users actually want.

We partner with product companies to build AI-native features — from copilots to recommendation engines to predictive UX — fully embedded into your existing product, with the speed of an AI-specialist team.

What we deliver

Every engagement is scoped, priced, and delivered against these capabilities.

AI Feature Design

From user research to working prototype. We design AI features that solve real user problems, not just AI for AI's sake.

Copilot & Assistant Features

AI assistants embedded directly in your product UI. Smart suggestions, natural language interfaces, and context-aware recommendations.

Personalisation Engines

Recommendation systems, dynamic content ranking, and personalised UX that increase engagement and retention.

Predictive UX

Predict what users need next — smart autocomplete, proactive suggestions, and anomaly alerts surfaced at the right moment.

Full-Stack AI Integration

AI features built with your existing tech stack — React, Next.js, Node.js — so there's no architectural mismatch.

A/B Testing & Iteration

Experimentation framework to measure the business impact of every AI feature before full rollout.

How we work

A predictable process that keeps you informed and in control at every stage.

01

Product & user research

Identify the highest-value AI features through user interviews, analytics review, and competitive analysis.

02

Prototype & validate

Rapid prototype delivered in 1–2 weeks. Validated with real users before full build.

03

Build & integrate

Full-stack build with AI backend, API layer, and frontend integration — to your quality standards.

04

Measure & improve

Instrument the feature, measure impact, and iterate based on data.

Have an AI feature on your roadmap?

We can have a working prototype in your hands in two weeks.

Response within 24 hours. NDA available on request.