Practical AI features, not science projects
AI & Machine Learning Development
AI and machine learning features — from predictive models to LLM-powered workflows — integrated into products people actually use.
The problem
Most AI initiatives stall because they're scoped as research instead of a shippable feature with a clear, measurable use case.
Our solution
We scope AI features around a specific workflow — recommendations, prediction, document processing, or LLM automation — and ship them as production features, not prototypes.
What we deliver
- Use-case scoping & data assessment
- Model or LLM-workflow build
- Integration into your product
- Monitoring & evaluation setup
Key features
- LLM-powered automation
- Predictive models
- Document/data extraction pipelines
- Model monitoring & evaluation
Technology stack
PythonOpenAI APINode.js
Industries served
SaaSBusiness & OperationsHealthcare
Frequently asked questions
Do we need our own data to start?
It helps, but not always — many use cases start with an off-the-shelf model or LLM API and get refined with your data over time.
