Data & AI
Infrastructure
The foundation under every
AI initiative that actually ships.
Every enterprise we talk to has an AI strategy. Fewer have the data and infrastructure underneath it that can bear the weight. We’ve built this foundation before, as engineers embedded inside organizations like Meta, Microsoft, Oracle, Comcast, Citi, and Verizon — assessing the data your AI depends on, architecting the hybrid infrastructure training and inference require, and building the governance layer that makes the whole system auditable.
Why 57% of AI Pilots Still Stall on Data
According to Informatica’s 2026 CDO Insights survey, 57% of companies adopting GenAI still cite data reliability as a key barrier to moving from pilot to production. Our white paper breaks down how to build the data and infrastructure foundation that lets AI initiatives reach production — not just a demo.
Our capabilities
The Valtree Effect
Comprehensive
We assess your data foundation for quality, completeness, and accessibility first — then fix what’s broken before you spend another pilot cycle firefighting pipelines instead of proving value.
Experienced
Our engineers have architected hybrid on-prem, cloud, and edge infrastructure inside organizations like Meta, Microsoft, Oracle, Comcast, Citi, and Verizon — not as advisors sketching a diagram and handing it off.
Insightful
We build governance in from the start — cataloging, lineage, and access control that make your AI auditable, not something you retrofit after an incident.
Your partner from 30,000 feet to the trenches.
With a focus on deep client intimacy and leveraging a small yet specialized team, we ensure that each client receives dedicated attention and bespoke solutions, resulting in unparalleled outcomes.
With our business first, AI second approach we understand the bigger picture.
