AI & Machine Learning Solutions
Responsible AI systems built for traceability, governance, and measurable business impact.
What We Deliver
- ML lifecycle design, MLOps automation, and model monitoring
- Model validation, bias detection, and explainability reports
- Regulatory readiness for model governance frameworks
- AI-driven decision support for underwriting and fraud detection
Our Approach
We build AI systems that are transparent, maintainable, and secure. From initial data ingestion to model deployment, our workflows embed reproducibility, auditability, and risk control. We design ML pipelines that integrate with CI/CD, enable automatic retraining, and ensure models remain aligned with evolving data and regulations.
Tooling & Platforms
Model Development
PyTorch, TensorFlow/Keras, scikit-learn, XGBoost, LightGBM, Prophet, Statsmodels.
MLOps & Serving
Azure ML, AWS SageMaker, Google Vertex AI, MLflow, Kubeflow, BentoML, Ray Serve.
Data Platforms
Databricks (Delta/Unity), Snowflake (Snowpark), Azure Synapse, BigQuery, Redshift.
Feature Stores
Feast, Databricks Feature Store, Tecton, Snowflake + Snowpark features.
Pipelines & Orchestration
Airflow, Azure Data Factory, Prefect, Dagster, dbt for data transformations.
Monitoring & QA
Evidently AI, WhyLabs, Arize, Fiddler, Great Expectations, MLflow tracking dashboards.
Data Storage & Databases
SQL Server, PostgreSQL, Oracle, MySQL, MariaDB; MongoDB, Cassandra, DynamoDB, Redis, Elasticsearch.
Responsible AI & Governance
- Bias and fairness checks across data and model outcomes.
- Explainability via SHAP, LIME, and model documentation artifacts.
- Model risk management aligned with regulatory standards (e.g., SR 11-7, EU AI Act).
- Continuous validation, performance tracking, and approval workflows.
Use Cases
- Underwriting and credit risk scoring with explainable models.
- Fraud detection using anomaly detection and streaming inference.
- Demand forecasting, price optimization, and predictive maintenance.
- Customer segmentation, churn modeling, and marketing optimization.
- Computer vision for quality inspection and document processing.