Data-as-a-Service

Improve model performance with domain expertise, fit-for-purpose data and benchmarks built around real business needs.

The challenge

Enterprise AI depends on more than powerful models.

Organizations are investing heavily in AI, but model performance depends on more than technology alone. Training, evaluating and benchmarking models for enterprise use requires business context, domain knowledge and data aligned to real-world needs. Bringing those elements together consistently and at scale remains a challenge for many organizations.

How we help

Deep domain expertise

Bring domain expertise into AI model training and evaluation to deliver outputs that are more relevant, accurate and aligned to business needs across industries, functions and languages.

Curated datasets

Build a stronger foundation for AI with business relevant datasets off the shelf, designed to improve accuracy, relevance, and agentic performance.

Reinforcement learning infrastructure

Design and operate reinforcement learning environments and evaluation frameworks that train AI systems through structured feedback and simulation.

Reinvention in action

Enterprise VAL in action

Enterprise VAL helps organizations assess model quality, identify performance gaps and benchmark results against enterprise expectations, enabling more informed AI decisions and greater confidence in deployment.

Our leaders

Kevan Yalowitz

Senior Managing Director – Software & Platforms, Global Lead

Ben English

Managing Director – Industry and Enterprise, Software & Platforms

Ankit Mehta

Managing Director – AI and Data Lead, Software & Platforms