AI Integration in New York, USA
ZyberNetix serves New York, USA teams adding AI workflows to products where accuracy, cost, and user trust matter.
Serving founders in New York, USA with a focused sprint, production handoff, and clear ownership.
Built for New York founder velocity
New York founders often sell into finance, media, healthcare, real estate, and B2B operations where speed matters but trust and polish matter too.
Remote-first, timezone-aware delivery
Timezone fit
We overlap well with East Coast mornings and can keep async progress moving while your team is offline.
How we work
Good fit for founders who need a technical build partner without adding another layer of account management.
No location theater
ZyberNetix is a remote build partner. We do not claim a physical presence in New York; the value is clear execution, direct access, and owned code.
Clear sprint economics
For New York, USA teams, the default first step is a focused 21-day MVP launch sprint at $5,997. AI integration scope is priced around the workflow, model needs, and product surface.
From New York product direction to shipped release
Define the job the AI feature must perform
Choose model, retrieval, and workflow architecture
Integrate, test, and instrument the feature
Deploy with basic monitoring and handoff notes
Relevant product snapshots
ZalkAI
ProductivityAI-powered task manager inside WhatsApp with natural language input, smart scheduling, and team collaboration.
Elete Basketball
SportsTechAI-powered basketball training app with HD video drills, performance analytics, and virtual competitions.
AI Integration for New York, USA
Do you work with New York founders?
Yes. ZyberNetix serves founders in New York, USA remotely with direct builder access, async updates, and scheduled review calls.
What makes this different from a broad agency build?
The sprint is scoped around the first measurable product version. The goal is not a huge spec; it is a product that can create evidence.
What should I bring to the first call?
Bring your target user, the workflow you want to prove, and any rough screens, notes, or current product links. We can shape the rest.