Applied AI & Machine Learning — From Strategy to Production
We design and deliver production-ready AI and ML solutions that improve customer experiences, automate decisions, and generate measurable business value. Our approach combines product thinking, robust engineering and responsible AI practices to move models from experiments into reliable, monitored services.
Avg Automation Accuracy
Faster Time-to-Insight
Models in Production
AI & ML Capabilities
We help product and data teams identify high-impact opportunities, prototype quickly, and scale models with production safety and observability.
AI Strategy & Roadmaps
Use-case prioritization, feasibility analysis, KPI definition and a focused roadmap that links ML work to business outcomes.
Predictive & Generative Models
Forecasting, recommendation systems, NLP, computer vision and generative AI tailored to your data and product needs.
MLOps & Automation
Automated training pipelines, CI/CD for models, model registries, drift detection and production monitoring with alerts.
Responsible AI & Governance
Bias detection, explainability dashboards, privacy-preserving pipelines and compliance support (GDPR, HIPAA, PCI where applicable).
Edge & Real-Time AI
Low-latency inference on devices and streaming inference for time-sensitive decisioning and digital twins.
Business Adoption & Change
Experimentation frameworks, measurement templates and enablement programs to ensure models deliver sustained ROI.
Featured AI Projects
Real examples where ML engineering and governance produced clear business impact.
Aura Personalization Engine
Cross-channel recommendation engine delivering contextual product and content suggestions.
- Vertex AI, BigQuery, dbt
- 12% uplift in average order value
- Explainability reports for product owners
Sentinel Fraud Analytics
Real-time anomaly detection with automated investigation and risk scoring.
- AWS SageMaker, Kinesis
- 90% reduction in manual reviews
- Compliance-aligned MLOps
PulseCare Predictive Outreach
Risk stratification model to trigger proactive outreach and reduce readmissions.
- Databricks, MLflow, Power BI
- 32% reduction in readmissions
- HIPAA-ready governance
Tech Stack & Tooling
Platforms
Databricks, Snowflake, Vertex AI, AWS SageMaker, Azure ML
Frameworks
TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain
Pipelines & Ops
MLflow, Kubeflow, Feast, Argo Workflows, Airflow
Analytics & Monitoring
Power BI, Looker, Evidently AI, Fiddler, Prometheus
Why Product Leaders Partner with Us
- Cross-disciplinary squads: product, data science, engineering and change management.
- Reusable accelerators for feature stores, experimentation and safety checks to reduce time-to-value.
- Success metrics tied to revenue growth, cost reduction and user engagement.
- End-to-end enablement: playbooks, training and operational handover for sustainable outcomes.
Ready to turn data into intelligent experiences?
Share your business goals and we’ll propose a pragmatic AI roadmap, scope a pilot, and help you scale production models safely and quickly.