Four deep, connected capabilities — engineering intelligent data for AI across structured and unstructured sources, and keeping it trusted in production.
Designing and building production-grade AI — assistants, agents, and GenAI applications engineered for accuracy, security, and scale.
Manufacturing · Energy · Logistics · Utilities
Building the modern data foundation — lakehouse platforms, pipelines, and transformations that make all enterprise data AI-ready.
Manufacturing · Energy · Logistics · Utilities
Making intelligence trustworthy — the definitions, quality, lineage, and policies that let the enterprise rely on its data and its AI.
Manufacturing · Utilities
Keeping data and AI reliable in production — monitoring, optimizing, and operating the platforms, pipelines, and models the business depends on.
Manufacturing · Logistics
Most AI today retrieves. The next wave reasons — grounded in real context, explainable in its logic, and built for the specific way an industry actually operates. That’s the frontier we’re building toward.
Agents that explain why an answer is right, not just retrieve the nearest match.
Reasoning built around how a specific industry actually works, not a generic prompt layered on top of generic data.
Reasoning you can audit and govern, not a black box you have to take on faith.
design & build
batch & streaming
business-ready data
documents, email, knowledge
trust by design
Ontologies · Knowledge Graph
· Semantic Layer
business-ready data
grounded in your knowledge
trusted, consistent insight
content that answers back
AI-driven workflows