Custom software for Columbus — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Columbus's insurance, fintech, and healthtech operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Columbus is one of the fastest-growing insurance, fintech, and healthtech markets in the Midwest — anchored by Nationwide, Cardinal Health, CoverMyMeds (now Optum/RxSavings), JPMorgan's Columbus footprint, and a fast-growing B2B SaaS scene. Senior hires are six figures, months out, and picked over by Fortune-500 employers and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Columbus insurance, fintech, or healthtech build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part your bank examiner, QSA, or compliance team will absolutely catch: cardholder data accidentally landing in logs, claims-processing edge cases that fail at month-end, PHI access without audit trails, and integration with insurance core systems AI invents instead of reads. Raw AI output ships those silently.
We build for Columbus operators — insurance and claims platforms scaling toward audit, fintech and payments platforms shipping toward compliance, healthcare and rx-tech 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: claims-processing handler double-processes on retry → idempotency key + replay test// ✓ merged: PHI access reason capture on rx-tech tool, isolated cardholder-data zone with explicit boundaryOn a Columbus insurance, fintech, or rx-tech build, the failure modes are non-idempotent claims handlers, missing PHI audit trails, and cardholder data in logs. Senior review catches them before a month-end run, HIPAA review, or QSA does.
What we build for Columbus companies.
Insurance & claims platforms
Underwriting tools, claims automation, and broker portals for carriers and InsurTechs.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
Healthcare & HIPAA-ready apps
Patient-facing portals, clinician tools, and care-coordination platforms built to HIPAA from day one.
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.
A senior team that moves at AI speed.
You work with senior engineers in Eastern Time who own architecture, regulated-environment quality, and integration with legacy systems — fitting into an Easton insurance-IT rhythm, a Short North SaaS standup, or a Polaris fintech PR review — not a junior pool with raw AI output bolted on.
Columbus's senior engineering pool is concentrated around Nationwide, Cardinal Health, JPMorgan, and the Optum/CoverMyMeds rxtech ecosystem — 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 Columbus 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 Columbus teams.
Do you work with Columbus companies?
Do you work with insurance core systems and claims platforms?
Can you build for rx-tech, PBM, and pharmacy workflows?
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 — Columbus.
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.