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iVega Lab - Applied AI Practice

Where researchbecomesworking systems.

iVega Lab is our applied AI and R&D practice. We test ideas, build predictive systems, and translate research into tools organizations can actually use.

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Applied AI Practice

Practical AI, operational intelligence, and research-backed advisory.

Each engagement blends technology, careful research, and the specialists the work calls for. We design for the data you have, not the data you wish you had.

iVega team discussing applied AI and digital transformation work
Briefing to build

Research shaped into delivery.

AI Discovery & Productization

Map realistic AI opportunities, validate use cases, prototype the strongest ideas, and shape them into business-ready applications.

  • Opportunity mapping
  • Use-case validation
  • Data readiness
  • Prototype to product

Explainable AI & Decision Support

Make machine learning systems clearer for the people who rely on them. AI-assisted insight that helps teams make better decisions.

  • Model interpretation
  • Feature importance
  • Decision insight
  • Workflow analysis

Predictive Modelling & Forecasting

Forecasting systems, predictive analytics, and trend reading for operational teams, designed for the data you actually have.

  • Time-series forecasting
  • Demand & capacity
  • Anomaly detection
  • Performance insight

Health & Laboratory Workflow Advisory

Support selected health, laboratory, and workflow initiatives with research-driven input and specialist collaboration on regulated data.

  • Lab workflow mapping
  • Healthtech advisory
  • Dataset governance
  • Process efficiency

AI Workshops & Executive Briefings

Practical sessions for leadership and teams evaluating AI adoption without hype or unclear promises. Build internal capability, not dependency.

  • Adoption strategy
  • Capability frameworks
  • Executive briefings
  • Team upskilling
Open-source intelligence stack

A practical stack for applied intelligence.

The Lab works with proven languages, modelling libraries, interpretability tools, serving layers, and analytical frameworks, selected for each engagement rather than forced into every project.

Languages & Environments

Python, R, SQL, and Jupyter as the base layer for applied AI and analytical work.

Data Engineering

pandas, NumPy, Polars, DuckDB, Apache Spark, and Apache Airflow for ingestion, transformation, and readiness.

Machine Learning

scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow, Keras, and Hugging Face Transformers.

Explainability

SHAP, LIME, InterpretML, and Captum for model interpretation and decision-support transparency.

Forecasting

Nixtla, sktime, Darts, Chronos, and TimesFM for time-series and forecasting use cases.

MLOps & Serving

MLflow, FastAPI, Docker, Kubernetes, Prometheus, and Grafana for serving, scaling, and observability.

Rapid Applications

Superset, Metabase, Plotly, Streamlit, and Gradio for dashboards, prototypes, and operational tools.

Health Standards

MONAI, DICOM, HL7 FHIR, OpenEHR, OHDSI OMOP, and OpenMRS for selected healthtech contexts.

iVega Lab workspace with anatomical model and research materials
Governance before model output

Research handled with domain care.

Health and laboratory work requires context, access discipline, and clear data-use boundaries.

Health Data Governance

Careful healthtech research and dataset awareness.

For health and laboratory initiatives, iVega Lab works carefully with access terms, data-use agreements, and applicable regulation. Restricted datasets are pursued only per project where approval and governance justify the process.

Governance

Access terms, data-use agreements, applicable regulation.

Evidence

Validation, citation, and clinical context where it matters.

Operational fit

Tools that integrate with the team that will use them.

Open Dataset Registry

Medical Imaging & Radiology

  • NIH ChestX-ray14
  • CheXpert
  • HAM10000
  • LIDC-IDRI
  • OASIS
  • TCIA collections

Neurology, Genomics & Oncology

  • OpenNeuro
  • TCGA open tier
  • 1000 Genomes Project
  • gnomAD

Cardiology & Physiological Signals

  • PTB-XL
  • PTB Diagnostic ECG Database
  • NSRR sleep datasets

Biomedical Text & Population Data

  • CORD-19
  • BioASQ
  • Pima Indians Diabetes
  • Human Mortality Database
Collaboration model

Specialist capability, matched to the problem.

iVega Lab brings together researchers, technical contributors, operational advisors, and sector specialists based on each project scope. You get focused expertise when it is needed, without carrying it when it is not.

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