AI that solves problems.
Not just demos.
LLM integration, RAG systems, and AI automation built for production. We turn AI from an experiment into a competitive advantage that delivers measurable ROI.
Production-grade AI development
LLM API Integration
Integrate OpenAI, Anthropic Claude, and Google Gemini into your products. Chatbots, content generation, intelligent search, and automated analysis — production-ready and cost-optimized.
RAG Systems
Retrieval-Augmented Generation systems that ground AI responses in your proprietary data. Reduce hallucinations, increase accuracy, and give users answers from your knowledge base.
AI-Powered Automation
Automate document processing, data extraction, content moderation, and customer support triage. Replace manual workflows with intelligent automation that scales.
Custom AI Features
Build AI features specific to your product — smart recommendations, natural language interfaces, predictive analytics, and sentiment analysis integrated into your existing tech stack.
AI Strategy Consulting
Not sure where to start? We audit your business processes, identify high-ROI AI opportunities, and build a practical implementation roadmap.
Full-Stack AI Development
End-to-end development including the AI layer, backend APIs, frontend interfaces, and deployment infrastructure. One team that handles everything.
“Geminate integrated AI-powered document processing that reduced our manual review time by 85%. The RAG system answers customer questions with 95% accuracy using our own knowledge base.”
— CTO, Enterprise Document Management Platform
Frequently asked questions
Do I need a data scientist for AI integration?+
Not for most integrations. Modern LLM APIs can be integrated by experienced full-stack developers. Our team handles AI integrations without requiring separate data science resources. Custom model training is the exception — that does require specialized ML expertise.
How much does AI integration cost?+
Simple LLM integrations start at $10,000-20,000. RAG-based knowledge systems cost $25,000-50,000. Monthly API costs range from $100-2,000 depending on usage volume. We provide detailed cost estimates based on your specific use case.
How do you handle AI hallucinations and accuracy?+
We use Retrieval-Augmented Generation (RAG) to ground responses in your actual data, implement confidence scoring, add human-in-the-loop for critical decisions, and continuously monitor output quality. These practices reduce hallucination rates by 90%+.
Ready to integrate AI into your product?
Describe your use case. We propose an AI architecture and development plan within one week.
Get Started↗