MENTIUM TECHNOLOGIES INC.

Federal contract awards won by MENTIUM TECHNOLOGIES INC. (UEI QW46A3LDM478), 2018–2026 — public record from USAspending.

Showing awards with a value or ceiling of $250K+ active within the last 5 years. Need older history or smaller awards? Tell us what you need — we expand by request.

awards

expiring in 12 months

agency

Category award history

2 category awards to a new vendor (same agency and NAICS code, not this contract's own history) — latest: SPACEWORKS ENTERPRISES INC took National Aeronautics and Space Administration 541715 work from MENTIUM TECHNOLOGIES INC. (Jul 25, 2026).

Agencies buying from MENTIUM TECHNOLOGIES INC.

National Aeronautics and Space Administration (4)

What MENTIUM TECHNOLOGIES INC. has provided

541715 — RESEARCH AND DEVELOPMENT IN THE PHYSICAL, ENGINEERING, AND LIFE SCIENCES (EXCEPT NANOTECHNOLOGY AND BIOTECHNOLOGY) (3)541713 — RESEARCH AND DEVELOPMENT IN NANOTECHNOLOGY (1)

Awards

ENHANCING AND PRODUCTIZING THE DVMR RAD-HARD DIGITAL AI COPROCESSOR

National Aeronautics and Space Administration · $2,499,575 · Feb 10, 2026

FY23 SBIR PHASE III - TESTING NEUROMORPHIC ARCHITECTURES FOR HIGH CAPACITY/LOW-POWER AI IN SUB-ORBITAL FLIGHT

National Aeronautics and Space Administration · $1,176,868 · Sep 20, 2023

EO14042 SBIR PHASE II LUNAR SEQUENTIAL - NEUROMORPHIC CHIP FOR SENSING, SITUATIONAL AWARNESS, AND DECISION MAKING IN RADIATIVE ENVIRONMENTS

National Aeronautics and Space Administration · $5,008,925 · Sep 28, 2022

ARTIFICIAL INTELLIGENCE REALIZED THROUGH MACHINE LEARNING ALGORITHMS SEEMS TO BE THE ONLY VIABLE SOLUTION TO IMPLEMENT PERCEPTION, ENABLE PILOT ASSISTANTS AND EVENTUALLY FULL AUTONOMY TO UAS. CURRENTLY, MANY UAS HAVE SOME KIND OF CONVENTIONAL COMPUTER VISION (CV) HELPING THEM IN OBSTACLE AVOIDANCE OR TARGET ACQUISITION. INTERESTINGLY THOUGH, SINCE 2012 DEEP NEURAL NETWORKS (DNN) HAVE DRAMATICALLY OUTPERFORMED CONVENTIONAL CV ALGORITHMS IN THOSE TASKS AND PUSHED ARTIFICIAL INTELLIGENCE (AI) LIMITS IN A VARIETY OF OTHER APPLICATIONS INCLUDING, BUT NOT LIMITED, TO OBJECT RECOGNITION, VIDEO ANALYTICS, DECISION MAKING AND CONTROL, SPEECH RECOGNITION, ETC. UNFORTUNATELY, THE COMPUTATIONAL POWER REQUIRED FOR REAL-TIME DNN OPERATION CAN STILL ONLY BE DELIVERED BY BULKY, EXPENSIVE, SLOW, HEAVY AND ENERGY-HUNGRY DIGITAL SYSTEMS LIKE GPUS. THIS IS WHY MENTIUM IS DEVOTED TO DELIVERING DISRUPTIVE TECHNOLOGY IN THE FIELD OF MACHINE LEARNING HARDWARE ACCELERATORS, AND IN PARTICULAR FOR THIS PROJECT, INTO THE DEEP LEARNING HARDWARE ACCELERATORS FIELD. EXPERIMENTAL DATA AND PHASE I RESULTS CONFIRM THAT OUR HARDWARE CAN DELIVER 100X TO 1000X GAIN IN SPEED AND IN POWER EFFICIENCY COMPARED TO OTHER STATEOF- THE-ART ACCELERATORS. OUR FINAL PRODUCT WILL BE ABLE TO ANALYZE, IN REAL-TIME, BIG DATA STREAMS COMING FROM CAMERAS, SENSORS AND/OR AVIONICS AND TO CATEGORIZE (CLASSIFY) THEM FOR THE PURPOSE OF DECISION MAKING OR OBJECT LOCALIZATION TO ACHIEVE BETTER NAVIGATION AND COLLISION AVOIDANCE IN UAS. THE SAME HARDWARE PROCESSOR WILL BE DEPLOYABLE IN THE AIR TRAFFIC SYSTEMS, FOR REAL-TIME DATA ANALYSIS AND DECISION-MAKING. ALL WITH MORE THAN 10X REDUCTION IN COST AND POWER CONSUMPTION. THIS DISTRUPTIVE TECHNOLOGY IS BASED ON AN ANALOGCOMPUTATIONAL CORE, EXPLOITING THE MEMORY DEVICES TO CARRY OUT THE COMPUTATION AT A PHYSICAL LEVEL. ANALOG COMPUTATION IS INHERENTLY FASTER AND MORE EFFICIENT THAN THE DIGITAL ONE, WHILE THE IN-MEMORY COMPUTATION REMOVES THE DATA TRANSFER BOTTLENECK.

National Aeronautics and Space Administration · $1,129,356 · Jul 20, 2018