Custom Software Development Agency & AI Engineering

Rapid AI prototyping validates a hypothesis fast — a working prototype in 1–2 weeks to prove the core workflow is worth building. Custom SaaS development is the production path: multi-tenant architecture, data isolation, billing, and scale designed to serve paying customers. Prototyping answers "should we build this?"; custom SaaS answers "how do we run this reliably at scale?"

AI generates scaffolding, tests, and UI layout inside a skeleton that senior engineers define first. Every AI-generated diff passes a human review gate for architecture fit and security — dependency checks, input validation, and secret handling are verified before anything ships. AI accelerates the work; engineers remain accountable for what reaches production.

QA runs inside the delivery pipeline rather than after it. Automated API and contract tests, end-to-end suites, and CI/CD gates execute on every change, so regressions surface before release instead of after launch. This is the same connected QA pipeline we run for every engineering engagement.

Yes. We build bare-metal C/C++ and RTOS-based firmware (FreeRTOS, Zephyr), handle board bring-up and hardware abstraction layers, and connect device data streams to cloud backends — including secure OTA update pipelines. Embedded work is validated with hardware-in-the-loop testing before it ships.

Cost depends on which path fits: an AI-assisted prototype is a short, fixed-scope engagement measured in weeks; a production SaaS build is a phased engagement scoped against your architecture, compliance, and scale requirements; embedded firmware is scoped against hardware complexity and certification needs. We propose a focused first step rather than a large undifferentiated scope, so you can validate the fit before committing further.