July 20, 2025 - Eugenie Wirz - At the After.Databricks() Developer Meetup on June 10th, 2025, part of the Intel AI Summit Networking series, TrustGraph, Intel® Liftoff member, introduced its full AI Knowledge Supply Chain - thoroughly evaluated on Intel® Tiber™ AI Cloud—showcasing impressive performance gains on Intel® GPU hardware for enterprise AI workflows.
The live demonstration showed how enterprise-grade AI can be modular, transparent, and fully under the organization’s control. Built with Intel hardware and infrastructure at every layer, the TrustGraph platform offered a practical answer to a challenge many organizations face: how to build AI systems they can fully inspect, own, and scale.
Building Trust Where It’s Often Missing
As enterprises integrate AI into critical workflows, many are left guessing how their systems reason, how their data is handled, or whether a service provider’s infrastructure aligns with security policies. TrustGraph was built in response to this uncertainty.
The open-source platform replaces hidden processes with auditability and full visibility, giving teams confidence in how knowledge is extracted, how models respond, and how systems evolve.
Control Without Tradeoffs
Enterprise leaders often feel stuck between adopting fast-moving third-party tools, or building internally with limited resources. TrustGraph avoids that tradeoff.
Its architecture allows teams to assemble AI systems using interchangeable components, LLMs, vector databases, orchestration tools, all connected through a consistent framework. Changes don’t require re-engineering; improvements can be adopted as they’re released. This makes it easier to keep pace with AI advancements without sacrificing maintainability or control.
Breaking Down Data Silos
TrustGraph organizes fragmented enterprise knowledge into modular packages designed for AI use. It combines graph-based relationship mapping with semantic search to create an integrated view of knowledge across systems, support portals, wikis, CRMs, internal documents, and more.
In this deep-dive session, TrustGraph Co-Founder Daniel Davis explores the architecture and vision driving TrustGraph, along with practical demonstrations of the Configuration Builder and Workbench in action:
Scaling on Intel Technology
At the After.Databricks() Developer Meetup with Intel, TrustGraph—an Intel® Liftoff member—demonstrated its AI Knowledge Supply Chain on Intel® Tiber™ AI Cloud, showcasing real-world knowledge extraction use cases on CPU VMs, Intel® GPUs, and Gaudi® 2 accelerators.
Using a publicly available model and dataset, TrustGraph achieved a processing time of just 8 minutes—down from 20+ hours—highlighting Gaudi® 2’s strong performance in enterprise document intelligence workflows.
TrustGraph’s upcoming 1.0 release will include Intel® Gaudi® 2 AI Accelerator integration, offering customers—including MSPs and government agencies—a high-value, sovereign-ready AI pipeline solution.
An Open, Auditable AI Stack
TrustGraph’s collaboration with Intel® Liftoff brings technical credibility and ecosystem access to a platform built for transparency. As the demand for explainable, secure, and configurable AI systems grows, TrustGraph provides a clear path forward, without lock-in or guesswork.
The source code is public. The architecture is modular. The infrastructure options are flexible. For organizations seeking long-term control over how they build and operate intelligent systems, TrustGraph offers a foundation that holds up.