AI INTEGRATION SERVICES
Add production-ready AI capabilities to your product
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. Our AI and ML development page details the full technical approach, and our AI code audit guide covers the quality standards we apply to every deployment.
50+
AI integrations
99.5%
Uptime
40%
Cost reduction
< 200ms
Avg latency
THE PROBLEM
Sound familiar?
01
The demo-to-production gap
Your prototype works in Jupyter notebooks. But handling edge cases, rate limits, and 10,000 concurrent users is a different engineering problem entirely.
02
Unpredictable costs
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
Hallucinations destroy trust
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
What you get
01
LLM Integration
GPT-4, Claude, Gemini — we select and integrate the right model for your use case with fallback strategies.
02
RAG Architecture
Retrieval-augmented generation using vector databases for accurate, context-aware AI responses.
03
Prompt Engineering
Structured prompts, chain-of-thought reasoning, and output validation for reliable AI behavior.
04
Cost Optimization
Token budgeting, response caching, and model routing to keep AI costs predictable and manageable.
05
Production Monitoring
Latency tracking, quality scoring, and automated alerts for AI response degradation.
06
Data Privacy Compliance
On-premise model options, PII filtering, and data handling that meets enterprise compliance requirements.
PROCESS
From first call to production
01
Use Case Assessment
Identify where AI adds measurable value to your product. Not every problem needs a language model.
02
Proof of Concept
Build a working prototype with real data to validate accuracy, latency, and cost before full integration.
03
Production Integration
Implement the AI pipeline with error handling, fallbacks, rate limiting, and monitoring.
04
Optimization and Scale
Fine-tune prompts, implement caching, optimize token usage, and scale infrastructure as usage grows.
WHY GEMINATE
How we compare to your other options
VS HIRING IN-HOUSE
60% lower cost, 48 hours vs 3 months
No recruitment fees, no benefits overhead, no office space. Your developer starts in 48 hours — not after a 3-month hiring pipeline. Scale up or down with 2-week notice.
VS FREELANCERS
Dedicated, vetted, backed by a team
No juggling multiple freelancers. No ghosting. Your developer is full-time on your project, backed by our engineering team for code reviews, and replaced within one week if needed.
VS LARGE AGENCIES
Direct access, no middlemen
You talk directly to your developers and our founders — not account managers. Same quality, transparent pricing, and no 6-month lock-in contracts. Cancel anytime.
TECHNOLOGY
Built with tools
you trust
ZERO RISK
Start with a paid trial week
Your developer works on your actual project for one full week. Real code, real tasks, real integration with your team. If the fit isn't right, walk away — no contract, no obligation, no awkward conversations.
48h
Developer matched and ready to start
1 week
Paid trial on your real project
$0
Commitment if it's not the right fit
FAQ
Common questions
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.
Basic integrations (chatbot, content generation) cost $8,000-20,000. Advanced RAG pipelines cost $20,000-50,000. Custom models and multi-agent systems cost $50,000-100,000+. Ongoing API costs run $200-2,000/month depending on usage volume.
GPT-4o costs $2.50-10 per 1M tokens. Claude costs $3-15 per 1M tokens. A typical chatbot handling 1,000 daily conversations costs $300-800/month. We optimize prompts and implement caching to reduce costs by 40-60%.
A chatbot takes 4-6 weeks. A RAG pipeline takes 6-8 weeks. Custom model fine-tuning takes 10-16 weeks. All timelines include prompt optimization and production testing.
EXPLORE MORE
Related services
Custom Software Development
End-to-end product development from concept to production. Web apps, mobile apps, SaaS platforms — built with modern architecture and production-grade quality.
SaaS Development
Build multi-tenant SaaS platforms with subscription billing, user management, and analytics. From MVP to scale — production-ready architecture from day one.
HIRE DEVELOPERS
Pricing Tiers
$8,000-$20,000
Chatbot or content generation
$20,000-$50,000
RAG pipeline, document analysis
$50,000-$100,000+
Custom models, multi-agent
How It Works
Use Case Assessment
Identify where AI adds measurable value to your product
Proof of Concept
Working prototype with real data to validate accuracy and cost
Production Integration
AI pipeline with error handling, fallbacks, and monitoring
Optimize & Scale
Fine-tune prompts, implement caching, scale infrastructure
AI integration services from Geminate Solutions — integrate GPT-4, Claude, and Gemini into your product. Production-tested with RAG pipelines, prompt engineering, and cost optimization. 50+ AI integrations shipped with 99.5% uptime and sub-200ms latency. From $8,000 per integration.
NEXT STEP
Your competitor hired their developer
last week. Your turn.
15-minute call with our CEO. No sales pitch — just an honest assessment of whether we can help. If we can, your developer starts within 48 hours. If we can't, we'll tell you who can.
No commitment required · 48-hour developer matching · Paid trial week included