AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data roomsCustom software for Portland — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Portland's SaaS, sportswear, and open-source operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Portland hosts a strong SaaS, sportswear, and open-source engineering scene — anchored by Nike, Intel's Hillsboro footprint, and a long bench of senior infrastructure and front-end engineers. Senior hires are six figures, months out, and picked over by the marquee employers and a steady pull from remote coastal roles. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Portland SaaS, eCommerce, or AI build, AI handles the repetitive 70% — first-draft UI, CRUD, scaffolding, glue. The 30% AI gets wrong is the part your platform team will catch on the first PR: design-system regressions, accessibility regressions, infra patterns copied from a hyperscaler talk but wrong for your stage, and dependency hygiene that goes sideways when an open-source upstream changes. Raw AI output ships those silently.
We build for Portland operators — Series-A SaaS founders shipping toward PMF, growth-stage platforms paying down design-system debt, sportswear and DTC commerce teams scaling for peak, and modernization of OSS-heavy 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: design-system component bypassed for a one-off implementation → component re-used + a11y test added// ✓ merged: dependency-pin upgrade with breaking-change check, server-side render-safe accessibility patternsOn a Portland SaaS or commerce build, the failure modes are silent design-system drift, accessibility regressions, and open-source upgrades that break under load. Senior review catches them before a Lighthouse score or a customer screenshot does.
What we build for Portland 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.
eCommerce & marketplaces
Storefronts, marketplaces, and merchant tools built for conversion and scale.
MVPs & prototypes
Validate an idea with a real, deployed product in weeks, not quarters.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
Web apps & portals
Fast, custom applications and customer portals on a modern stack.
A senior team that moves at AI speed.
You work with senior engineers in Pacific Time who own architecture, accessibility, and OSS-savvy quality — fitting into a Pearl District startup, a Beaverton sportswear team, or a Hillsboro platform standup — not a junior pool with raw AI output bolted on.
Portland's senior engineering pool is split between Nike, Intel, and the venture-backed SaaS bench — and steadily pulled into remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need a Pearl District office lease.
Talk to an engineerTraditional Portland 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 Portland teams.
Do you work with Portland companies?
Do you work with design systems and accessibility?
Can you keep up with an OSS-heavy stack?
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
Portland teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Portland.
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.