Applied AI that works in production
We turn data into working products, from recommendation engines to document intelligence and AI assistants, built to run reliably at scale.
What you get
- AI opportunity assessment
- Data pipelines and feature engineering
- Model and LLM application development
- Evaluation and monitoring
- Deployment and integration
Why teams choose Nirusense
Business-led use cases
We start from the outcome, not the model.
Production ready
Monitoring, evaluation and fallbacks, not demos.
Data you can trust
Clean pipelines and governance behind every model.
Responsible AI
Privacy, safety and bias are tested before launch.
Technologies
Python, PyTorch, scikit-learn, LLM APIs, vector databases, Airflow
Frequently asked questions
Do we need a lot of data to start?
Not always. Many use cases work with existing models and modest data. We assess feasibility in discovery.
Is our data safe with AI projects?
We design for privacy with access controls, anonymisation and deployment inside your own environment when required.
