Custom software for New York City — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for New York's finance, AdTech, and media operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
New York is the deepest finance, fintech, AdTech, and media-tech market in the world — and the most expensive, most picked-over senior engineering market with it. Hiring a full-time staff engineer takes months and tops the national pay band. The old build-from-scratch model can't keep up. AI changes the math, but only when senior people own the parts AI gets wrong.
On a New York fintech or AdTech build, the repetitive 70% — schemas, CRUD, dashboards, first-draft UI, boilerplate auth — is exactly where AI runs fastest. The dangerous 30% is everything that gets audited later: the SQL on a trade-ticket query, the audit trail on a ledger entry, the consent flow on a tracking pixel, the failure mode of a partial reconciliation. AI gets those wrong silently. Teams that ship raw AI output find out at the next SOC 2 review or external scan.
We build for New York operators — from Series-A fintechs scaling toward NYDFS compliance, to media platforms rebuilding their ad stack after the cookie reset, to brokerage and trading firms upgrading internal tools that have run on spreadsheets for a decade. Our model: AI handles scaffolding and the repetitive 70% of the work; 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: unparameterized SQL on a trade-ticket query → fixed + audit-log entry + parameterized test// ✓ merged: 4-eyes review on ledger writes, idempotency keys on settlementOn a New York fintech or AdTech build, the failure modes that hit production are unparameterized queries, missing audit trails, and silent reconciliation drift — exactly what senior review catches before SOC 2 or NYDFS does.
What we build for New York City companies.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
Media & AdTech platforms
Content systems, audience analytics, and ad-stack tools that survive the privacy reset.
PropTech & real-estate software
Listing platforms, tenant portals, and operations tools for owners, brokers, and managers.
eCommerce & marketplaces
Storefronts, marketplaces, and merchant tools built for conversion and scale.
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 Eastern Time — same Slack hours, same standups as your Midtown, FiDi, or DUMBO team — who own architecture and security, not a junior pool with raw AI output bolted on. Integration with your existing PR review, CI, and on-call is the default, not a custom ask.
Manhattan and Brooklyn senior hires are six figures plus equity, three to six months out, and almost always picked over by FAANG, hedge funds, and well-funded fintechs. An AI-native team gets you shipping inside a week, scales monthly, and doesn't ask for relocation packages.
Talk to an engineerTraditional New York 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 New York City teams.
Do you work with New York City companies?
Do you build for regulated finance (SOC 2, NYDFS 500, PCI)?
Can you meet our latency and uptime SLAs?
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 — New York.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and — if AI-native isn't the right fit for your build — we'll tell you that too.