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 Jersey City — 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.
Jersey City anchors the Hudson waterfront — home to deep financial-services back-office operations, fast-growing fintech and B2B SaaS scenes, and a steady stream of NYC-tech relocations. Senior hires are six figures plus equity, months out, and picked over by financial-services employers, NYC-based fintech firms, 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 Jersey City operators — fintech and trading-firm internal tools, B2B SaaS shipping into mid-market and enterprise buyers, real-estate and PropTech platforms, AdTech and media-tech tools, 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: 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 Jersey City fintech or AdTech build, the failure modes 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 Jersey City companies.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
PropTech & real-estate software
Listing platforms, tenant portals, and operations tools for owners, brokers, and managers.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Media & AdTech platforms
Content systems, audience analytics, and ad-stack tools that survive the privacy reset.
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.
Jersey City's senior engineers are part of the New York-metro pool — six figures plus equity, three to six months out, and constantly recruited 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 a Hudson-waterfront office lease.
Talk to an engineerTraditional Jersey 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 Jersey City teams.
Do you work with Jersey City companies?
Do you build for regulated finance (SOC 2, NYDFS 500, PCI)?
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
Jersey City teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Jersey City.
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.