Our Story
Tensor Networks, Inc. was founded on a singular, disruptive realization: the rapid scaling of modern AI was fundamentally bottlenecked not by a lack of raw compute, but by the physical limitations of reactive networking. As hyperscalers and national labs poured billions into massive GPU clusters, they were bleeding efficiency to the "reactive data penalty"—the inevitable delays caused when networks wait for buffers to overflow or caches to miss before moving critical data. Recognizing that traditional routing algorithms were paralyzed by the "Curse of Dimensionality" in these hyper-complex environments, the founders pioneered a breakthrough in mathematical software. The emergence of the Predictive Tensor Control Plane (PTCP) marked the first time Pattern-of-Life Tensor Train (PoL-TT) compression was successfully operationalized within the eBPF kernel layer. By mathematically shrinking the massive probability state space into highly tractable, nanosecond-fast tensor cores, Tensor Networks transformed standard commercial off-the-shelf (COTS) infrastructure into a fully predictive, self-synchronizing AI fabric, permanently breaking the industry's reliance on exorbitant, proprietary walled gardens.
Our Team
Eric Frazier
CEO
Bachelors of Business Administration with a Management focus form the HEB School of Business at the University of the Incarnate Word in San Antonio, Tx.
Robert Zhu
CTO
Masters in Electrical Engineering from Purdue University Ft. Wayne, Indiana.
Rober is a Tiananmen Square survivor and proud Chinese-American
Rick Bryant
CSO
Bachelors of Business Administration from the Red McCombs School of Business at the University of Texas Austin. Rick is an avvid gammer and SCUBA diver.
Our Approach
Tensor Networks’ business approach for the Predictive Tensor Control Plane (PTCP) hinges on rapid, frictionless market penetration into the highly lucrative—yet notoriously complex—public sector, anchored by a strategic distribution partnership with Carahsoft. By leveraging Carahsoft as their Master Government Aggregator, Tensor Networks effectively bypasses the glacial pace of traditional federal procurement, immediately placing PTCP onto established government contracting vehicles like GSA Schedules and NASA SEWP. This allows defense prime contractors, the DoD, and federal civilian agencies to seamlessly procure PTCP as a critical software overlay for their multi-vendor AI and HPC environments without the bureaucratic friction of sourcing new proprietary hardware. This channel-first strategy perfectly complements their "land-and-expand" business model, enabling Tensor Networks to quickly deploy initial proof-of-concept sandboxes in classified or restricted environments, prove the immediate ROI of predictive routing, and rapidly convert those pilots into sticky, fleet-wide Annual Recurring Revenue (ARR).
Media
