Custom software for Irving — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to design, build, and ship custom software far faster than a traditional shop — without the fragile, unreviewed code that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Irving anchors the corporate-HQ heart of west-central DFW — home to ExxonMobil's headquarters in Las Colinas, McKesson, Vistra, Kimberly-Clark, and a deep enterprise SaaS scene. Senior hires are six figures, months out, and picked over by Fortune-500 employers and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
AI is genuinely good at the repetitive 70% of software work: scaffolding, boilerplate, CRUD, first-draft UI, test stubs, glue code. It is dangerously unreliable at the other 30%: architecture, security, edge cases, and knowing when its own output is wrong. Teams that ship raw AI code learn this in production.
We build for Irving operators — energy and industrial software, fintech and payments platforms scaling toward compliance, enterprise SaaS shipping into Fortune-500 buyers, healthcare and supply-chain tools, and modernization of decades-old enterprise stacks. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.
AI writes the first draft. A senior engineer signs off.
Every change runs through review for security, tests, and architecture before it ships — that review is the product.
const draft = await ai.generate(spec) // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: late-arriving sensor event overwrites newer state → event-sourced with version + replay test// ✓ merged: SSO group-claim handling for nested AD groups, idempotency key on enterprise webhookOn an Irving energy or enterprise build, the failure modes are late industrial data, SSO assumptions, and SLA tail latency on legacy integrations. Senior review catches them before procurement or a control-room alarm does.
What we build for Irving companies.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Energy & operations software
Field-ops apps, sensor pipelines, and asset-management platforms for upstream, midstream, and renewables.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
A senior team that moves at AI speed.
You work with senior engineers who own architecture and quality — not a junior pool with raw AI output bolted on. We communicate in Central Time and integrate with your tools and cadence.
Irving's senior engineering pool is concentrated around ExxonMobil, McKesson, Vistra, and the broader Las Colinas corporate-HQ ecosystem — three-to-six months to hire and quietly poached by remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need a Las Colinas office.
Talk to an engineerTraditional Irving dev shop vs. AI-native.
| Traditional Agency | DEV.co (AI-native) | |
|---|---|---|
| Time to working software | Months | Days to weeks |
| Cost | Full senior rates, all hours | Lower — AI removes the rote work |
| Code quality | Good (if senior) | Same bar — every change reviewed |
| AI risk | — | Contained by senior review + tests |
| You own the code | Usually | Always — full repo on day one |
| Scales with you | Slow to staff up | Flex up or down monthly |
Common questions from Irving teams.
Do you work with Irving companies?
Do you work with industrial / SCADA and enterprise teams?
Is AI-built software production-ready?
Will we own the code?
How fast can we start?
Can you work with our existing team?
Let's build it — Irving.
Tell us what you're trying to ship. We'll give you an honest recommendation, a timeline, and a fixed quote — and tell you if AI-native is the right fit or not.