Automate the busywork. Add AI where it actually helps.
We automate repetitive processes and add AI features — search, assistants, document extraction, predictions — measured against real results, not demos.
AI & Automation, end to end.
Workflow automation
Approvals, notifications, report generation and data entry handled automatically across your tools.
LLM assistants & search
Chat and search over your own documents and data, with sources cited and access controls respected.
Document processing
Pull data from invoices, forms, contracts and emails into your systems, with a human review step.
Machine-learning models
Forecasting, classification and recommendation models trained on your data and served through an API.
Deliverables, not just hours.
Every engagement ends with things you can use, run and hand to someone else.
- Process map and a ranked list of automation opportunities
- Evaluation set that measures AI accuracy before launch
- Human review for low-confidence results
- Usage and cost monitoring for AI services
- Privacy review of what data leaves your systems
- Documentation for operating and retraining models
Typical stack
- Python
- LangChain
- PyTorch
- scikit-learn
- FastAPI
- PostgreSQL
A good fit when
- People spend hours on repetitive, rules-based tasks
- Your team digs through documents to answer the same questions
- You want to test an AI feature without betting the product on it
Asked before most projects.
Will our data be used to train public AI models?
No. We use provider settings and business APIs that exclude your data from model training, and can run open-source models inside your own cloud when data must not leave it.
How do you know an AI feature is good enough?
Before launch we build an evaluation set from your real examples and measure accuracy against it, so the go/no-go decision rests on numbers rather than a convincing demo.
Have work that should run itself?
Tell us what you want to build. We reply within one business day with questions or a time for a call.