01
Computer vision
Detection, segmentation, OCR, document understanding.
What we do
Capabilities
What we cover
02
NLP & LLM systems
Classification, extraction, retrieval, fine-tuning, RAG pipelines.
03
Forecasting & tabular ML
Demand forecasting, churn, scoring, anomaly detection.
04
MLOps & monitoring
Training pipelines, model registries, drift detection, observability.
Stack
Tools we reach for
PythonPyTorchTensorFlowHugging FaceLangChainscikit-learnMLflowDockerFastAPI
How we work
Engagement, in four phases
- 01
Data audit
Source review, quality assessment, labelling plan.
- 02
Baseline
Simple models first; measurable evaluation framework.
- 03
Iteration
Architecture search, feature work, ablation studies.
- 04
Deploy
Inference service, monitoring, retraining cadence.