Enterprise Data Transformation
Consulting engagements run $500K–$5M and take 6–18 months. They require armies of analysts doing repetitive work that never scales. Nexiga replaces them with autonomous AI agents that run the full lifecycle continuously — from data readiness assessment to live ML models in production.
How it works
Continuously inventories enterprise data sources, assesses quality gaps, and generates remediation plans. Works 24/7 — no human needed to discover what's broken.
Builds, trains, and deploys machine learning models autonomously. Connects to existing infrastructure, handles feature engineering, monitors drift, retrains as needed.
Takes ML output and turns it into operational decisions — automated reports, workflow triggers, customer scoring, inventory optimization. Actions, not dashboards.
The problem
"Consulting firms have monetized complexity. They built a business around the fact that data transformation is hard for humans. We're built around the fact that it isn't hard for machines."
The enterprise data & AI market is dominated by firms that profit from slow, manual work. McKinsey, Accenture, Alkemy — they all sell bodies, not outcomes. Every day a transformation takes is another day an enterprise is paying for it.
Nexiga was built for the era of autonomous agents. Not chatbots. Not dashboards. Workers that run while you sleep.
What changes
Enterprise data transformation was a human problem. It no longer has to be.
Nexiga is built for enterprises that are done waiting 12 months for a strategy deck and a PowerPoint. The agents are ready. The work starts now.