You have a workflow that works. You want AI to make it faster, more accurate, or scalable — not replace it. We integrate Claude, GPT, and Gemini APIs into the systems you already run.
AI Integration
LLM integrations, retrieval-augmented generation, prompt engineering, and agentic systems wired into your existing workflows.
AI integrations that actually ship to production
Most LLM demos look great in the browser and break in production. We build the boring parts that demos skip — request retries, cost controls, prompt versioning, evaluation harnesses, and a clear migration path when models change. The output looks identical to a demo. The system stays up at 3 AM.
Retrieval-augmented generation (RAG)
Vector search over your documents — Pinecone, Weaviate, pgvector, or Cloudflare Vectorize — with prompt templates that cite sources.
LLM API integration
Anthropic Claude, OpenAI GPT, Google Gemini. Multi-provider routing, fallbacks, and usage tracking baked in.
Agentic systems
Tool-using agents that orchestrate function calls, search, and code execution. Designed with hard-stop budgets and audit logs.
Typical engagement
4 to 8 weeks for a production-ready integration on a single workflow. Larger systems are phased.
Stack
TypeScript + Node.js or Python (FastAPI). PostgreSQL + pgvector. Cloudflare Workers or AWS Lambda for inference. Anthropic Claude is our default LLM.
What you keep
Full source code, deployment scripts, runbooks, and a 30-day handoff window — not a vendor lock-in.
Pricing range
Starting at ₱180,000 for single-workflow integrations. RAG systems on larger document corpora quoted per scope.
What we measure
End-to-end latency, cost per request, evaluation accuracy on your test set, and dollar cost per dollar saved.