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AI INTEGRATION SERVICES
Everyone demos AI. Almost nobody ships it to production.
Move beyond prototypes. We integrate large language models, vector search, and intelligent automation into production systems — with proper error handling, cost controls, and monitoring that works at scale.
50+
AI integrations
99.5%
Uptime
40%
Cost reduction
< 200ms
Avg latency
From $8,000 per integration
THE PROBLEM
01
Your prototype works in Jupyter notebooks. But handling edge cases, rate limits, and 10,000 concurrent users is a different engineering problem entirely.
02
Your AI feature costs $200/day during testing. At production scale, that number will be 100x — unless you architect for cost control from day one.
03
When your AI confidently gives wrong answers to real customers, it doesn't just fail — it destroys trust. One viral screenshot undoes months of brand building.
THE SOLUTION
01
GPT-4, Claude, Gemini — we select and integrate the right model for your use case with fallback strategies.
02
Retrieval-augmented generation using vector databases for accurate, context-aware AI responses.
03
Structured prompts, chain-of-thought reasoning, and output validation for reliable AI behavior.
04
Token budgeting, response caching, and model routing to keep AI costs predictable and manageable.
05
Latency tracking, quality scoring, and automated alerts for AI response degradation.
06
On-premise model options, PII filtering, and data handling that meets enterprise compliance requirements.
PROCESS
01
Identify where AI adds measurable value to your product. Not every problem needs a language model.
02
Build a working prototype with real data to validate accuracy, latency, and cost before full integration.
03
Implement the AI pipeline with error handling, fallbacks, rate limiting, and monitoring.
04
Fine-tune prompts, implement caching, optimize token usage, and scale infrastructure as usage grows.
TECHNOLOGY
FAQ
Can't find your answer? Book a call and we'll walk through everything.
Book a 15-minute callIt depends on your use case. GPT-4 excels at general tasks, Claude handles long documents well, and Gemini integrates tightly with Google services. We help you evaluate models against your specific requirements.
We use RAG architecture to ground responses in your actual data, implement output validation, and add confidence scoring so your application can handle uncertain responses gracefully.
Integration projects start at $8,000 for a focused use case. Ongoing API costs depend on usage volume — we implement caching and model routing to keep costs predictable.
EXPLORE MORE
End-to-end product development from concept to production. Web apps, mobile apps, SaaS platforms — built with modern architecture and production-grade quality.
Build multi-tenant SaaS platforms with subscription billing, user management, and analytics. From MVP to scale — production-ready architecture from day one.
HIRE DEVELOPERS
NEXT STEP
Book a 15-minute call. We'll assess your needs and match you with the right team — no sales pitch, just a straight answer on whether we're the right fit.
No commitment required · 48-hour developer matching · Paid trial week included