about

Engineers who specialize in production AI

We're an AI engineering agency. We design and build production AI infrastructure for startups who need to move fast but can't afford to rebuild everything six months later.

We keep our focus tight: LLM systems engineering, retrieval architectures, and multi-agent workflows.

How we work

01

We specialize

LLM systems engineering, retrieval architectures, multi-agent workflows. Going deep in a focused area gets better results than spreading across every AI service you can name.

02

We keep it small

We work with a small number of startups at a time. It keeps us close to the work. Actual engineering collaboration produces better systems than a typical vendor relationship.

03

We build the real thing

Production AI infrastructure that's observable, cost-efficient, and maintainable. Not slide decks, not proofs of concept.

04

No surprises

You'll always know what we're building and why we made each call. Architecture decisions get documented. Trade-offs get explained, not buried.

Our technical stack

Orchestration

LangChain · LangGraph · LlamaIndex · CrewAI

Vector stores

Pinecone · Chroma · pgvector · Weaviate

LLM providers

Anthropic · OpenAI · Mistral · Cohere

Infrastructure

Python · FastAPI · PostgreSQL · Redis · Celery

Observability

LangSmith · Langfuse · OpenTelemetry · Prometheus

Deployment

AWS · GCP · Docker · Kubernetes

We build in public

Our open-source repositories show the patterns we use in production: RAG architectures, multi-agent frameworks, LLM evaluation systems. The code is out there if you want to see how we think.

View our GitHub →
production-llm-starter
rag-evaluation-framework
multi-agent-orchestration
ai-infrastructure-patterns

If that sounds like the kind of team you want to work with, book a call.