Capabilities

The full modern AI toolkit

Every engagement is grounded in methods we've built and evaluated end to end — from statistical analysis to deep learning, retrieval-augmented generation and production deployment.

Data & Statistical Insight

Rigorous exploratory analysis and statistical testing that turns raw operational data into decisions you can defend.

Methods

  • Exploratory data analysis & feature engineering
  • Hypothesis testing — ANOVA, MANOVA, chi-square, Tukey HSD
  • Correlation & multivariate analysis
  • Operational driver & root-cause analytics

Predictive Machine Learning

Classification, regression and risk scoring with models that are validated, balanced and explainable — not just accurate on paper.

Methods

  • Ensemble models — Random Forest & gradient boosting
  • Imbalanced-data handling — resampling & class weighting
  • Cross-validation & hyperparameter tuning
  • Anomaly & outlier detection with feature-importance explainability

Computer Vision & Deep Learning

Image classification, detection and inspection — with attention maps that show why the model made each call.

Methods

  • Convolutional neural networks & transfer learning
  • Data augmentation & robust training for class imbalance
  • Model ensembling for high-recall decisions
  • Saliency & attention-map explainability for trust and audit

Generative AI & RAG

Large language models grounded in your own documents, with citations and evaluation so the answers are trustworthy enough to act on.

Methods

  • Retrieval-augmented generation — embeddings, vector search & hybrid retrieval
  • Document parsing, chart/table extraction & knowledge graphs
  • Prompt engineering & agentic workflows
  • Evaluation & guardrails — automated grading, citation & faithfulness checks

Graph Intelligence

Model the relationships and networks tabular data can't capture — fraud rings, supply chains, attack paths.

Methods

  • Graph neural networks & representation learning
  • Node & graph classification, link prediction
  • Knowledge-graph construction & reasoning
  • Network & community analysis

MLOps & Deployment

From notebook to production — models served behind APIs, containerized, monitored and built to scale.

Methods

  • Model packaging, versioning & reproducible pipelines
  • REST APIs for online & batch inference
  • Containerization & scalable model serving
  • Interactive apps & monitoring dashboards

See these capabilities applied to your industry

We map each method onto the concrete decisions in finance, medicine, manufacturing, security and IT.

Explore industries