Services / Build
AI Engineering & App Development
Custom applications and AI products, engineered for production.
Our engineering team designs and builds custom software—AI-powered web and mobile applications, internal tools, agent systems and integrations—on modern, maintainable foundations. Built to run under real load, with governance and observability from day one.
The problem
AI demos are easy; production is not. Prototypes that impressed in a meeting fall over on real data, real load and real users—and nobody planned for security, evaluation or maintenance.
The outcome
Production software you own, shipped in weeks—not quarters.
The Production AI Engineering Framework
Five stages that take a product idea to software running under real load—with security, evaluation and observability treated as requirements, not afterthoughts.
1. Scope — The product, precisely
We define the user, the jobs to be done, the data available and the success measures—so the build starts from a spec, not a vibe.
2. Architect — Foundations that last
System design, model selection, data flows and integration boundaries—chosen for maintainability and cost at production scale, not just demo speed.
3. Build — Working software, weekly
Short cycles with working software you can touch at the end of each one. You review real functionality, not status updates.
4. Harden — Ready for real load
Security review, evaluation suites for AI behavior, observability, rate and cost controls—the unglamorous work that separates products from prototypes.
5. Ship & Support — Live, and improving
Deployment, monitoring and a support arrangement sized to your needs—from full handover to ongoing engineering partnership.
The workflow
Like every GigaRev system, this service runs the operating loop: Understand → Act → Learn, under human direction.
- 1. Define users, jobs and success measures (Understand) — A precise product spec: who it serves, what it must do, how success is measured.
- 2. Audit data, systems and constraints (Understand) — What exists, what integrates, what the security and compliance boundaries are.
- 3. You approve architecture and roadmap (Human direction) — System design, model choices and build sequence—signed off before code.
- 4. Build in weekly working-software cycles (Act) — Functional increments you can use and react to at the end of every cycle.
- 5. Harden: security, evaluation, observability (Act) — Evaluation suites for AI behavior, security review, monitoring, cost controls.
- 6. Ship to production (Act) — Deployment with monitoring live from day one and a rollback path defined.
- 7. Instrument, measure and iterate (Learn) — Real usage feeds the roadmap; evaluation results feed model and prompt tuning.
What's included
- Custom web & mobile application development
- AI agents, copilots and LLM-powered product features
- Data pipelines, enrichment and knowledge systems
- Integrations with your CRM, commerce and marketing stack
- Production hardening: security, observability, evaluation
What you keep
- Product spec and system architecture
- Production application—code you own
- AI evaluation suites and monitoring
- Integration layer into your stack
- Documentation and support arrangement
Questions leaders ask
What kind of software does GigaRev engineering build?
GigaRev builds custom web and mobile applications, AI agents and copilots, LLM-powered product features, internal tools, data pipelines and integrations with CRM, commerce and marketing stacks. Everything is engineered for production—security, evaluation and observability are treated as requirements from day one.
How does GigaRev take AI products from prototype to production?
Through a five-stage framework: Scope (precise product spec), Architect (system design and model selection for production scale), Build (weekly working-software cycles), Harden (security review, AI evaluation suites, observability, cost controls) and Ship & Support (deployment, monitoring and ongoing support).
Who owns the code GigaRev builds?
You do. GigaRev builds on modern, maintainable foundations and delivers the codebase, documentation, architecture decisions and evaluation suites as your property. Support afterwards is flexible—from full handover to an ongoing engineering partnership.
How fast can GigaRev ship a production application?
Working software appears in the first weekly build cycle, and production-ready applications typically ship in weeks rather than quarters. Speed comes from the framework: a precise scope up front, weekly functional increments you can react to, and hardening running alongside the build rather than after it.