LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
Secure AI virtual data roomsCustom software for Salt Lake City — 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.
Silicon Slopes — Salt Lake City, Lehi, Provo — has one of the densest SaaS and fintech engineering markets in the country, anchored by Domo, Qualtrics, Pluralsight, Recursion, and a long tail of high-growth startups. Senior hires are six figures, months out, and almost always picked over. The old build-from-scratch model can't keep up. AI changes the math, but only if it's used by people who know where it breaks.
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.
Our model is simple: AI handles the volume, a senior engineer owns the judgment. You get the speed and cost advantage of AI-native development with the reliability of a team that has shipped and supported real production systems for companies along the Wasatch Front and beyond.
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: unparameterized SQL query → fixed + test added// ✓ merged: input validation, error states, CI greenThe mixed reputation of AI-built software comes from shipping unreviewed output. We don't — and the difference shows up in production.
What we build for Salt Lake City companies.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
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.
Fintech & data platforms
Pipelines, dashboards, and customer-facing apps for regulated, data-heavy products.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
MVPs & prototypes
Validate an idea with a real, deployed product in weeks, not quarters.
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 Mountain Time and integrate with your tools and cadence.
When Silicon Slopes hiring is competitive and a full-time senior hire is months away, an AI-native team gets you shipping now and scales up or down as your roadmap shifts.
Talk to an engineerTraditional Salt Lake City 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 Salt Lake City teams.
Do you work with Salt Lake City and Silicon Slopes companies?
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
Salt Lake City teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Salt Lake City.
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.