Custom software for Albuquerque — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Albuquerque's defense, national-lab, and research operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Albuquerque anchors a deep defense, national-laboratory, and research-software market — home to Sandia and Los Alamos National Labs, Kirtland Air Force Base, and a growing aerospace, energy, and B2B SaaS scene. Senior hires are cleared, six figures, months out, and picked over by primes, lab spinouts, and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
On an Albuquerque defense or national-lab build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets confidently wrong is the part Sandia engineers, your contracting officer, or compliance lead will catch: logging that doesn't cover an authentication event, boundary diagrams that don't match the code, integration with bespoke lab or defense protocols AI invents instead of reads, and supply-chain provenance AI invents instead of documents. Raw AI output ships those silently.
We build for Albuquerque operators — defense and aerospace contractors shipping into program milestones, lab-adjacent research-software teams bridging research and production, energy and grid-tech platforms, B2B SaaS shipping to mid-market and government buyers, 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: auth event without an audit-log entry (control miss) → logged + correlation id + control-mapped test// ✓ merged: boundary-correct logging on unclassified surface, supply-chain SBOM on every buildOn an Albuquerque defense or lab build, the failure modes are logging gaps against control catalogs, boundary leaks, and missing supply-chain provenance. Senior review catches them before a 3PAO or contracting officer does.
What we build for Albuquerque companies.
Defense & national-security software
Mission tools and analytics built for the security, classification, and integration standards your contracts require.
Energy & operations software
Field-ops apps, sensor pipelines, and asset-management platforms for upstream, midstream, and renewables.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
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 in Mountain Time who own architecture, compliance posture, and quality on regulated work — fitting alongside a Sandia subcontractor team, a Kirtland-area defense vendor, or a downtown Albuquerque SaaS PR review — not a junior pool with raw AI output bolted on.
Albuquerque's senior engineering pool is concentrated around the national labs, defense contractors, and a smaller venture-backed bench — three-to-six months to hire uncleared, much longer cleared. An AI-native team accelerates the unclassified portion of your scope and frees your cleared bench for the work only they can do.
Talk to an engineerTraditional Albuquerque 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 Albuquerque teams.
Do you work with Albuquerque companies?
Do you work with FedRAMP, CMMC, or DOE-adjacent environments?
Can you harden national-lab or research code for production?
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 — Albuquerque.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and tell you whether AI-native is the right fit for your build.