AI solutions, data engineering, and business intelligence — the layer that powers every decision across every division. We build the pipelines, models, and dashboards that turn raw data into competitive advantage.
Every engagement follows the same architecture — collect, clean, model, deploy, measure. Rinse, repeat, improve.
Source identification, API connections, ETL pipelines, and real-time streaming.
Normalization, deduplication, schema design, and warehouse architecture.
Statistical modeling, ML training, feature engineering, and AI development.
Model serving, API endpoints, dashboard builds, and production integration.
Performance monitoring, drift detection, retraining, and business impact tracking.
Data pipelines, warehousing, and infrastructure — the foundation that makes everything else possible. Built for reliability, scale, and speed.
Custom AI solutions — from predictive models and recommendation engines to NLP, computer vision, and generative AI applications.
Dashboards, reporting, and analytics platforms that turn data into decisions — designed for executives, analysts, and operators.
Deep-dive analysis — cohort studies, attribution modeling, customer segmentation, and the kind of analysis that changes strategy.
Production ML systems — model versioning, serving, monitoring, and the infrastructure that keeps AI reliable in the real world.
Data maturity assessments, roadmap creation, and organizational strategy — helping teams build the right data culture and capabilities.
Organizations that trust us to build and manage the data infrastructure behind their most critical decisions.
Standalone projects, embedded data teams, or full platform builds.
ETL/ELT development, warehouse architecture, streaming pipelines, data lake design, and quality frameworks.
Custom model development, NLP, computer vision, recommendation systems, and production ML deployment.
RAG pipelines, custom AI assistants, fine-tuning, prompt engineering, and enterprise AI integration.
Looker, Tableau, Power BI, and custom dashboards — executive reporting, self-service analytics, and embedded BI.
Segmentation, attribution, cohort analysis, LTV modeling, churn prediction, and marketing mix optimization.
Model serving, feature stores, experiment tracking, monitoring, retraining pipelines, and GPU optimization.
Data catalogs, lineage tracking, access control, PII management, GDPR/CCPA compliance, and quality monitoring.
Maturity assessments, stack selection, team hiring, roadmap creation, and organizational data strategy.
Whether you need a warehouse, a model, or a full AI platform — we'll start with what you have and build toward what you need.