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AI Feature Integration
Add AI capabilities your competitor can't clone overnight.
Duration: 4–8 weeksInvestment: $20K–$60K
Adding an LLM to your product is easy. Adding one that's reliable, cost-efficient, and defensible is not. We architect AI features for production — not demos.
Capabilities
What we integrate
LLM Integration
OpenAI, Anthropic, Gemini, and open-source models. Prompt engineering, streaming, function calling, and structured outputs.
RAG Pipelines
Retrieval-augmented generation with vector databases (Pinecone, Weaviate, pgvector). Chunking, embedding, and retrieval strategies.
AI Agents
Autonomous task execution, tool use, multi-step reasoning chains. From simple workflows to complex agentic systems.
AI Ops
Observability, cost monitoring, latency optimization, eval pipelines. AI that works in production, not just at demo time.