We take your business from zero to production AI — RAG pipelines over your documents, LangGraph agents that reason and act, multi-LLM orchestration at scale. All deployed on AWS.
From data ingestion to live deployment — we build production AI that works under real load, with real users, on real infrastructure.
Transform your documents, manuals, and data into an intelligent search and Q&A system. Hybrid search (pgvector + BM25 + RRF), chunking strategies, embedding pipelines, and RAGAS evaluation — all deployed and monitored.
Multi-step AI agents that plan, retrieve, and act using LangGraph state machines. Tool use, function calling, guardrails, hallucination detection, and cost routing — built to run autonomously in production.
Route intelligently across OpenAI GPT-4o, Claude (Bedrock), Gemini, and open-source models. Semantic caching, token budget management, automatic fallback, and per-request cost tracking at production scale.
Every technology chosen for production reliability — not demos.
A proven 3-phase process for shipping production AI systems.
We process your documents, logs, or data through ETL pipelines — chunk, embed, and index into pgvector with metadata. BM25 keyword index built alongside for hybrid search.
LangGraph agents wire together retrieval, reasoning, and tool calls. Guardrails layer detects hallucinations. Cost router manages token budgets and picks the right model for each query.
Docker containers pushed to AWS ECS Fargate via Terraform IaC. LangSmith traces every agent run. CloudWatch dashboards and alarms. Zero-downtime deployment.
Tell us what data, workflows, or business problems you need AI to solve. We'll architect, build, and deploy it.
We respond within 1–2 business days · info@ondevtra.com