Integrate ChatGPT, Claude, Gemini, and custom models into your products. We build RAG systems, fine-tune models, and implement AI APIs that actually work in production.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
ChatGPT & GPT-4o Integration Add OpenAI's latest models to your product — GPT-4o, GPT-4.1, and o-series with function calling, structured outputs, streaming, and multi-modal capabilities. Claude 4.5 Integration Leverage Anthropic Claude 4.5 (Sonnet, Opus, Haiku) for long-context tasks, document analysis, code generation, and enterprise applications. RAG Implementation Build retrieval-augmented generation systems with vector databases. Your AI answers from your data, not hallucinations. Custom Model Fine-Tuning Fine-tune open-source models for your specific domain. Better accuracy, lower costs, and full data privacy. LangChain & AI Orchestration Build multi-step AI workflows with LangChain, LangGraph, and custom orchestration pipelines. LLM Cost Optimization Model routing, caching, prompt engineering, and token management to keep your AI costs under control at scale.
Production Experience We've deployed LLMs in production serving thousands of users. We know the edge cases, failure modes, and optimization tricks. Model-Agnostic We're not tied to any single provider. OpenAI, Anthropic, Google, Mistral, or self-hosted — we pick what's best for your use case. Enterprise Security Data anonymization, on-premise options, SOC2 compliance guidance, and audit trails for regulated industries. End-to-End Delivery From architecture design to deployment and monitoring. We don't just integrate — we ensure it works reliably in production.
Smart Search & QA AI-powered search over your documents, knowledge bases, and databases. Content Generation Automated content creation, summarization, and translation at scale. Customer Support AI Intelligent chatbots that resolve queries using your product documentation.
Discovery Analyzing your product, data, and AI integration opportunities Step 01: Discovery Architecture & Design Model selection, prompt engineering, and API architecture planning Step 02: Architecture & Design Development & Testing Agile sprints with weekly demos and feedback loops Step 03: Development & Testing Launch & Scale Production deployment, cost monitoring, and performance optimization Step 04: Launch & Scale
LLM Integrations: 100+ Model Providers: 5+ Cost Reduction: 40%
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
ChatGPT & GPT-4o Integration Add OpenAI's latest models to your product — GPT-4o, GPT-4.1, and o-series with function calling, structured outputs, streaming, and multi-modal capabilities. Claude 4.5 Integration Leverage Anthropic Claude 4.5 (Sonnet, Opus, Haiku) for long-context tasks, document analysis, code generation, and enterprise applications. RAG Implementation Build retrieval-augmented generation systems with vector databases. Your AI answers from your data, not hallucinations. Custom Model Fine-Tuning Fine-tune open-source models for your specific domain. Better accuracy, lower costs, and full data privacy. LangChain & AI Orchestration Build multi-step AI workflows with LangChain, LangGraph, and custom orchestration pipelines. LLM Cost Optimization Model routing, caching, prompt engineering, and token management to keep your AI costs under control at scale.
Production Experience We've deployed LLMs in production serving thousands of users. We know the edge cases, failure modes, and optimization tricks. Model-Agnostic We're not tied to any single provider. OpenAI, Anthropic, Google, Mistral, or self-hosted — we pick what's best for your use case. Enterprise Security Data anonymization, on-premise options, SOC2 compliance guidance, and audit trails for regulated industries. End-to-End Delivery From architecture design to deployment and monitoring. We don't just integrate — we ensure it works reliably in production.
Smart Search & QA AI-powered search over your documents, knowledge bases, and databases. Content Generation Automated content creation, summarization, and translation at scale. Customer Support AI Intelligent chatbots that resolve queries using your product documentation.
Discovery Analyzing your product, data, and AI integration opportunities Step 01: Discovery Architecture & Design Model selection, prompt engineering, and API architecture planning Step 02: Architecture & Design Development & Testing Agile sprints with weekly demos and feedback loops Step 03: Development & Testing Launch & Scale Production deployment, cost monitoring, and performance optimization Step 04: Launch & Scale
FAQ
Tell us about your product and we'll recommend the right LLM strategy — model selection, architecture, and implementation roadmap.