Build

AI Product Engineering

We design and ship AI-enabled products across web, iOS, Android, and backend: from the first feature to the production architecture behind it. Web and mobile are how we ship AI products, not standalone site-building. FitSprint AI, our AI-powered iOS and watchOS fitness app on the App Store, is the proof of how we build: AI features shipped to production, workout data kept in HealthKit on the device, scoped permissions, no third-party trackers.

Scope

What you get

  • Customer-facing AI features with evaluation and fallback behavior
  • Web applications in Next.js, React, and TypeScript
  • Native iOS and watchOS apps in Swift and SwiftUI
  • APIs and backend services with identity-aware access control
  • CI/CD, dependency scanning, and code review from day one
  • Edge and cloud deployment with monitoring and cost controls

Fixed scope

Packages

PackageDurationDeliverables
Automation Proof of Value2–4 weeksOne narrowly scoped feature or workflow · Integrations · Human approval point · Usage metrics · Demo · Handoff doc
Production Agent Launch6–12 weeksProduction feature or agent workflow · Tool integrations · Guardrails · Observability · Tests · Incident procedures

Security by default

Built into every engagement

All 12 baseline controls
  1. 01Data classification and data-flow mapping first
  2. 02Model and vendor terms reviewed for retention
  3. 03Least-privilege access for tools and agents
  4. 04Identity-aware access for staff, customers, admins
  5. 05Secrets managed — never in code or prompts
  6. 06Separate dev, test, and production

Next step

Book an AI Systems Readiness Call

Tell us about the workflow. We will tell you whether Automation Proof of Value is the right first step, and what it would take.

Book an AI Systems Readiness CallView all services