AIthat works foryour business.
We design, build, and operate useful AI systems: RAG, GraphRAG, machine learning, automation, full-stack products, and managed infrastructure.
Strategy / Engineering / Deployment / Support
A focused team of AI, software, product, and infrastructure specialists.
AI Engineering • Software Development • Product Design • Cloud Operations
Free feasibility review
Reply in 1 business day01 / What do you need help with?
Pick whichever sounds most like you. You get a straight answer, including when the answer is that you do not need AI for it.
02 / Anything you want to add
You get a written answer, yours to forward. No call required, no cost, and we say so when the answer is no.
Retrieval
Find the right context across your data.
Reasoning
Infer, synthesize, and generate with precision.
Deployment
Ship, monitor, and operate with confidence.
Small team. End-to-end delivery
- 01Private knowledge systems
- 02Predictive ML
- 03Business platforms
- 04Managed deployment
Why small businesses choose us
AI, software, and the infrastructure underneath
A reply within one business day. No account managers, no handoffs, no taking one slice of the problem. You talk to the engineer who writes the code and sets up the server it lives on.
What we build
Drag or use arrows
01 / 08
Private knowledge systems
indexed
Answers drawn from your own documents, with citations back to the source. Graph retrieval when the relationships between entities matter more than the passages.
- Ingestion, parsing, and chunking pipelines
- Vector and hybrid search tuned on your queries
- GraphRAG over entities and relationships
- Evaluation sets that prove quality before launch
- Retrieval
- vector · hybrid · graph
- Stores
- pgvector · Neo4j
- Evaluation
- golden sets · regression gates
How a project runs
4 phases · fixed scope
- 011 week
Scope
What you have, what you need, and whether the thing you asked for is the thing that solves it. Paid, short, and useful even if you stop here.
- Written recommendation
- Fixed price and timeline
- 021-2 weeks
Prove
The riskiest part built first against your real data or systems, so the expensive unknown gets answered before the expensive work starts.
- Working prototype
- A measured result, pass or fail
- 034-12 weeks
Build
The production system, with tests, deployment, and the unglamorous operational pieces that decide whether it survives its first month.
- Deployed system
- Code in your repository
- 04Ongoing, or not
Operate
Hosting, monitoring, and iteration for as long as it earns its keep, or a clean handover to your team. Chosen deliberately, not by default.
- Runbook and training
- Support, or a clean exit
Working stack
- Python
- TypeScript
- PyTorch
- Next.js
- Postgres
- pgvector
- Neo4j
- FastAPI
- Docker
- Linux
- Claude
- OpenAI
Contact
Tell me what is broken.
Describe the problem in a paragraph. If AI is the wrong tool for it, we will say so and tell you what we would use instead.