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Secure AI virtual data roomsCustom 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?
More from DEV.co
Albuquerque teams usually need more than one kind of build. These are the practices behind the work above.
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.