Custom software for St. Louis — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for St. Louis's financial-services, logistics, and aerospace-defense operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
St. Louis anchors a strong financial-services, logistics, and aerospace-defense market — home to Edward Jones, Bunge, Boeing Defense, Square (Block) operations, and a growing biotech and B2B SaaS scene around BioGenerator and Cortex. Senior hires are six figures, months out, and picked over by Fortune-500 employers, defense primes, and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
On a St. Louis fintech, logistics, or defense build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part your bank examiner, contracting officer, or compliance lead will catch: cardholder data accidentally landing in logs, logging that doesn't cover an authentication event, idempotency on a wire or freight webhook, and integration with bespoke defense or fintech systems AI invents instead of reads. Raw AI output ships those silently.
We build for St. Louis operators — financial-services and wealth-management tools, freight and logistics platforms moving through the I-70 spine, defense and aerospace software shipping into program milestones, biotech and B2B SaaS, 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: idempotency key on payment or freight webhook, isolated cardholder-data zone with explicit boundaryOn a St. Louis financial-services, logistics, or defense build, the failure modes are logging gaps against control catalogs, cardholder data in logs, and non-idempotent webhooks. Senior review catches them before a 3PAO, QSA, or month-end run does.
What we build for St. Louis companies.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
Supply-chain & ops platforms
Routing, dispatch, inventory, and visibility tools that replace clipboards and spreadsheets.
Defense & national-security software
Mission tools and analytics built for the security, classification, and integration standards your contracts require.
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.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
A senior team that moves at AI speed.
You work with senior engineers in Central Time who own architecture, regulated-environment posture, and quality — fitting into a Clayton wealth-tech rhythm, a Cortex biotech standup, or a downtown St. Louis enterprise PR review — not a junior pool with raw AI output bolted on.
St. Louis's senior engineering pool is concentrated around Edward Jones, Boeing Defense, Bunge, the Cortex bench, and a smaller venture-backed scene — 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 downtown office.
Talk to an engineerTraditional St. Louis 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 St. Louis teams.
Do you work with St. Louis companies?
Do you build for regulated finance and wealth management?
Do you work with FedRAMP, CMMC, or DoD defense environments?
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 — St. Louis.
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.