Wiring GPT into a product is easy to start and easy to blow up — on cost, latency, or a data leak. We build production OpenAI integrations — assistants, function calling, embeddings search — engineered for performance, cost control, and security.
Key performance indicators
API latency and response quality
Token cost per user interaction
Integration reliability (uptime %%)
Feature adoption rate post-launch
Delivery plan
OpenAI integrations are scoped and delivered in rapid iterations, typically achieving first working prototype within 1–2 weeks.
Milestone-based delivery
Progress you can verify, sprint by sprint
Phase 1
Use-case scoping & API design
Phase 2
Prompt engineering & function mapping
Phase 3
Integration build & safety guardrails
Phase 4
Load testing & production rollout
Deliverables
Concrete, verifiable artifacts produced during delivery — quality you can audit, not promises.
Production OpenAI API integration
Prompt library and system instructions
Cost monitoring & rate limiting layer
Integration documentation & runbook
What we measure
Every engagement is tracked against results you can put in front of your board — not effort, outcomes.
AI-powered features live in your product
Predictable and optimized API costs
Safe, compliant, and auditable AI usage
How we integrate
How our teams plug into yours — from day one.
OpenAI integrations that ship fast, scale reliably, and stay on budget — built by engineers who've done it before.
2000+ vetted engineers · 3 global hubs · 98% client retention
FAQs
Questions about our process, pricing, or technology? Clear answers to the most common ones.
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