AI Integration Services in New York, NY
New York is the toughest AI buyer's market in the country. Fintech, ad-tech, agency holding companies, hedge funds, SaaS founders — every one of them has been pitched an AI product, and most have been burned. The AI integrations that survive are vertical, modeled on the actual workflow, and shipped by people who can actually engineer.
The problem with off-the-shelf AI in New York
NYC buyers do not buy AI demos. They buy verticalized AI that mirrors their actual deal flow, pitch process, or client engagement model. Most AI shops cannot ship that.
Real AI integration means picking the right model for the right step, wiring it into your existing data layer, and building eval-first so prompt regressions get caught before they reach production. For New York buyers specifically, that means AI shaped for vertical AI for finance and agency operations — not a generic chatbot.
What we ship for New York buyers
Agency client + project AI
Brief summarization, client-comms classification, and deliverable extraction joined to the project record.
Fund-administration-aware AI
Pitch-deck extraction, deal-IC summarization, LP-comms drafting modeled into the fund workflow.
Ad-tech revenue ops AI
Insertion order extraction, pacing-alert classification, and campaign brief drafting.
Procurement-ready AI architecture
Data-flow diagrams, SBOM-style summaries, audit logs for institutional due diligence.
Tech stack
LLM-vendor-agnostic abstraction so you can switch providers without a rewrite. Postgres + pgvector for RAG.
Reference builds
Reference AI work for NYC-style buyers spans operations platforms (J5 Sales OS, UEhub), trade and brand sites (ProtectWithBri, Wilder Recovery, Northcrest Fence), and quantitative tooling with AI surfaces. Same architecture pattern: clean Postgres schema, audit trails by default, role-scoped access.
Reference work: J5 Sales OS, contractor estimating engine, and multi-strategy trading system.
How we work remote from Georgia
QUANT LAB USA is founder-led from Macon, Georgia. William Beltz runs every AI engagement from kickoff through handoff. Discovery is a structured workflow-mapping session; eval-first prompt development from week one; staging is live from week two.
For New York buyers, that means full Eastern-time overlap, fixed-scope contracting against milestones, and on-site work when scope warrants. Book a scope call to walk through your workflow.
Pricing for New York AI integration
NYC AI engagements typically scope between $30,000 and $135,000 for a production-grade integration. Institutional-investor-ready builds land at the upper end.
We quote fixed-fee scope after a 30-minute discovery call. Engagements include the integration code, eval test sets, prompt versioning, and runtime cost-and-latency budgets. Source-code handoff at delivery. See our parent AI service page for the broader engagement model.
What you get
- Full source code repository (yours, no lock-in)
- Prompt library + eval test sets
- LLM-vendor-agnostic abstraction layer
- Cost + latency budgets at integration layer
- Audit logging on AI workflow events
- 30-day post-launch support included
New York AI integration FAQ
Institutional due-diligence packet?
Yes — pen test reports, architecture diagrams, audit logs.
Fly in for kickoffs?
For engagements above a certain scope.
Agency holding-company AI?
Yes.
Hedge fund AI?
Yes.
Closed vs open-source models?
Depends on workflow.
Who owns the prompts and code?
You do.
Related services
SaaS Platform Development
Full-stack SaaS with AI features built in.
Custom CRM Development
AI-assisted lead routing and summarization on your CRM.
Mobile App Development
On-device and server-side AI inside your mobile app.
API Development
Documented endpoints for your AI workflows.
Web App Pentest
Prompt-injection-aware security testing on AI features.
Nearby cities we serve
Ship a real AI integration in New York.
Call William Beltz directly at (770) 652-1282 or book a 20-minute scope call. Founder-led from quote to handoff.