After more than 25 years designing enterprise data platforms across healthcare, government, and Fortune 500 organizations, I noticed the same challenge repeatedly.
Organizations invested millions in cloud infrastructure and Databricks platforms but lacked clear visibility into spending, governance, and optimization opportunities.
Teams spent countless hours writing SQL queries, analyzing billing reports, and manually creating executive dashboards.
Traditional monitoring tools explained what happened but rarely answered why costs increased or what actions should be taken next.
I founded BetterAI to solve this problem by combining enterprise architecture, Databricks Lakehouse best practices, FinOps principles, and AI agents into intelligent software that continuously analyzes cloud usage, predicts future costs, recommends optimizations, and produces executive-ready insights.
Everything we build is based on real enterprise experience—not theoretical research.
Founder & Principal Data and AI Architect
Enterprise architect with more than 25 years of experience designing large-scale data platforms across healthcare, government, financial services, and Fortune 500 organizations.
25+ years delivering enterprise-scale data platforms supporting mission-critical workloads.
Focused exclusively on helping organizations maximize the value of their Databricks investment.
Every solution leverages AI agents to automate analysis, optimization, forecasting, and executive reporting.
We build platforms—not PowerPoint presentations. Every recommendation is backed by working software.
AI-powered Databricks FinOps platform that analyzes cloud spending, forecasts costs, detects anomalies, and recommends optimization opportunities.
A no-code AI workflow platform that enables organizations to build intelligent automation pipelines using reusable AI agents, orchestration, and enterprise integrations.
Custom AI copilots, executive assistants, intelligent automation, and domain-specific AI agents tailored for enterprise workflows.
We believe AI should augment engineers rather than replace them. Our mission is to combine enterprise architecture, cloud engineering, and artificial intelligence into practical solutions that reduce operational complexity, improve governance, lower costs, and accelerate innovation. Every recommendation should be actionable. Every dashboard should answer business questions. Every AI agent should save engineers time.