Partnership Will Accelerate and Support Rapid Expansion of AI Adoption and Data Modernization Capabilities Across Regulated Industries and Public Sector

WASHINGTON, June 15, 2026 /PRNewswire/ — Computomic, the leading global Databricks delivery partner, today announced a strategic growth investment from Washington Harbour Partners LP, a mission-first defense tech accelerator and force multiplier for U.S. and allied defense companies, during the Databricks Data + AI Summit. Computomic has established itself as a trusted partner for enterprise data modernization, large-scale legacy migrations, and AI transformation initiatives across some of the world’s most complex and highly regulated industries.

Computomic is one of Databricks’ fastest growing and most experienced delivery partners and has delivered 250+ Databricks projects across Financial Services, Healthcare & Life Sciences, Public Sector and Manufacturing. During its longstanding partnership with Databricks, Computomic has built a reputation for on time, on budget, no drama delivery and a consistent track record of completing some of Databricks most complex and strategic Enterprise engagements.

This partnership will help Computomic scale its Databricks practice, expand capacity for customers, and pursue larger, more strategic engagements while preserving the leadership, culture, delivery model, and Databricks-first focus that have defined the company’s success.

Organizations across every sector are racing to deploy AI, but many remain constrained by legacy architectures that were never designed to support modern analytics, machine learning, or agentic systems. Establishing AI-ready data platforms has become one of the most urgent priorities facing enterprise leaders today. Computomic addresses this challenge through deep expertise in legacy-to-Databricks modernization, helping organizations transform mission-critical data environments and create the foundation required for enterprise-scale AI adoption. Computomic’s experience spans large-scale modernization programs involving thousands of legacy objects, hundreds of ETL workflows, and highly complex enterprise data environments where governance, security, and reliability are critical.