Reusable components we apply on client and internal work. Named modules, with a concrete job each. Each one exists because we needed it in production first.
Pipelines and schemas that turn fragmented sources into queryable layers for products and analytics.
NLP for intent, entities, and sentiment where text volume requires consistent automated triage.
Demand, risk, and trend models combining statistical baselines with modern sequence models where they earn their keep.
Object detection, document OCR, and anomaly checks for industrial and operational image streams.
Decision flows with explicit business rules, model scores, and human approval steps where required.
Monitoring for drift, abuse, prompt injection, and data-quality regressions on model-serving paths.
The tools behind the systems above and the platforms we operate. Chosen because we run them in production.
These are building blocks, applied inside an engagement. They are applied inside an engagement and shaped to the system they serve. See our services →
Tell us what you are running and where it is falling short. We respond from hello@taxeltech.com.