Custom software for St. Petersburg — 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.
St. Petersburg anchors the western half of Tampa Bay — home to deep financial-services and wealth-management employers (Raymond James, Franklin Templeton), growing healthcare networks, and a fast-growing B2B SaaS scene around downtown's Innovation District. Senior hires are six figures, months out, and picked over by Tampa Bay employers and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
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.
We build for St. Petersburg operators — wealth-management and financial-services tools, fintech and payments platforms scaling toward compliance, provider-side healthcare tools, B2B SaaS shipping into mid-market 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: PAN logged in plaintext on an error path → tokenized + scrubbed + log-content test// ✓ merged: audit-logged authentication event with correlation id, idempotency key on payment webhookOn a St. Petersburg fintech, wealth-management, or healthcare build, the failure modes are cardholder data in logs, missing auth audit trails, and non-idempotent payment webhooks. Senior review catches them before a QSA, examiner, or HIPAA review does.
What we build for St. Petersburg companies.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Healthcare & HIPAA-ready apps
Patient-facing portals, clinician tools, and care-coordination platforms built to HIPAA from day one.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
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.
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 Eastern Time and integrate with your tools and cadence.
St. Pete's senior engineering pool is part of the Tampa Bay-wide pool — 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 St. Pete office.
Talk to an engineerTraditional St. Petersburg 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. Petersburg teams.
Do you work with St. Petersburg companies?
Do you build for regulated finance, wealth management, and HIPAA-scoped healthcare?
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. Petersburg.
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.