Production AI Systems for Startups
We build LLM pipelines, RAG systems, and multi-agent workflows that actually hold up in production. For startups that need AI infrastructure built to last, not just to demo.
// production RAG pipeline
↓ hybrid retrieval + rerank
Most AI builds fail in production. Here's why.
It's more common than you'd think.
The Demo Gap
It works in a notebook. Then real users, real data, and real load show up. Most AI prototypes are built to demo well, not to survive contact with production.
The Architecture Problem
Retrieval that works on 100 documents breaks on 100,000. Agents that behave in testing hallucinate in production. Making AI reliable is a fundamentally different engineering problem than making it work at all.
The Expertise Gap
Most engineering teams aren't specialists in LLM systems. Production AI requires deep knowledge of retrieval, inference optimization, eval frameworks, and observability. That expertise takes years to develop.
What We Build
All services →RAG & Retrieval Systems
Production retrieval pipelines with hybrid search, re-ranking, evaluation, and observability. For startups where the accuracy of answers actually matters.
Multi-Agent Workflows
Autonomous AI systems that coordinate tasks across multiple specialized agents, with proper state management, error recovery, and monitoring baked in.
LLM Infrastructure
The backend your AI product runs on: inference optimization, cost controls, caching, streaming, and observability. Built to hold up under real load.
AI Architecture Consulting
A focused engagement before you start building. We design the system, surface the risks, and hand off a build plan your team can actually execute.
Built by engineers who've done this in production
Engineering depth
LLM orchestration, RAG pipelines, multi-agent architectures
Not proofs of concept
Stack fluency
LangChain · LangGraph · LlamaIndex · Chroma · Pinecone · pgvector · Anthropic · OpenAI
Tools we use every day
Startup velocity
We move at startup speed without cutting engineering corners
We stay close to the work, not at arm's length
Building AI into your product and need something that actually ships?
We work with a small number of startups at a time so we can stay close to the engineering. Book a 30-minute call and we'll figure out if we're a good fit.
Book a Discovery Call