Agentic AI,
engineered for production
We design and deploy multi-agent LLM systems, RAG pipelines, and ML analytics that survive contact with the real world — for federal agencies, startups, and our own products.
What we build
Senior, founder-led engineering across the full AI stack — from ambiguous problem definition to evaluated, productionized systems.
Agentic LLM Systems
Multi-agent workflows that plan, use tools, and arbitrate autonomously — with the guardrails and evaluation to trust them in production.
- Multi-agent orchestration with LangChain & LangGraph
- Workspace & coding agents, tool use, agentic arbitration
- Evaluation & experimentation frameworks against ground truth
Document Intelligence & RAG
Turn document-heavy, analog processes into structured, queryable data — end to end.
- Ingestion, parsing, chunking, indexing, structured extraction
- Hybrid PDF pipelines: native text, OCR, and LLM-based OCR
- Vector search, knowledge graphs, token-efficient context
Machine Learning & Analytics
Applied ML that turns raw data into decisions — models, pipelines, and the analytics around them.
- Transformers, LSTMs, NLP, time-series, anomaly detection
- Geospatial, financial, and on-chain analytics
- Scalable pipelines: Beam/Dataflow, Spark, BigQuery, Airflow
Full-Stack AI Products
ML backends wired to interfaces people actually use — deployed to scale without you babysitting infrastructure.
- Autoscaling LLM deployments on GCP (App Engine, Cloud Run)
- Containerized services with Docker & Kubernetes
- Responsive web applications end to end
Trusted across industries
Our systems run in production for federal agencies, guide AI products in healthcare, and power a portfolio of tools we build and operate ourselves. Different industries — same engineering standard.
Federal
Production agentic document intelligence for the U.S. Patent & Trademark Office.
Healthcare
AI subject-matter expertise behind Careflo's agentic medical-coding product.
Products
A growing portfolio of applications we design, build, and operate in-house.
We write about the engineering behind our products and client work in Insights & Labs.
Built on a serious stack
Production-grade systems powered by modern ML frameworks, agentic tooling, and cloud-native infrastructure.
Featured writing
Deep dives into AI systems, language models, and the engineering behind live products.
Start a project
Whether it's an agentic prototype, a document pipeline, or a full AI product — we scope honestly and ship fast.
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