Applied AI & Machine Learning
Applied AI & Machine Learning
Applied artificial intelligence that produces measurable results — predictive models, local inference that keeps your data on your own infrastructure, and image understanding at scale.
Calibrated risk-scoring systems that fuse multiple weak signals into one decision-grade output, with probability calibration so a score of 0.8 actually means 80%.
On-premises LLM inference for document analysis, knowledge assistants and internal search, plus LoRA fine-tuning pipelines for domain-specific behaviour.
Image understanding paired with text analysis, run as an asynchronous batch pipeline with progress tracking, so large volumes are processed without blocking.
Preliminary image triage for X-ray, CT and ultrasound, running on local hardware for data-sovereignty reasons.
Automated detection of manipulative or aggressive language, with neutral, dignified framing enforced on output, and knowledge bases that accumulate learned patterns over time.
Model performance is reported with the basis it was measured on, distinguishing benchmark accuracy from field performance and flagging where synthetic augmentation was used.