NEURAL AI TECHNOLOGIES

Changing the Way the World Computes

Neuromorphic AI solutions from the Core to the Edge. Intelligent hardware that learns, recognizes, and decides in real time, at a fraction of the power.

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Neural AI Technologies Inc. is a cutting-edge technology company specializing in neural-driven intelligent application solutions with a broad application base.

We design, build, and deploy proprietary neuromorphic AI platforms and hardware—from smell-tech sensors and vibration monitors to neural servers and Cognitive Solid-State Drives (CSSD)—that deliver practical, real-world intelligence across multiple industries.

Our flagship Neural AI® technology uses proprietary IP for building solutions capable of both learning and recognizing data coming from text, signals, images, and more. It is a powerful pattern-learning and recognition accelerator with a small footprint, running at low frequencies and consuming minimal power. We believe that “cognitive awareness” will drive the next great wave of innovation in intelligent computing.

Our technology serves three distinct market segments, each built on the same neuromorphic architecture:

Cognitive Sensing
‍AI at the Edge

Neuromorphic sensors that learn and classify at the point of data capture. In-sensor learning and recognition with no dependency on external CPUs or GPUs. From electronic noses to vibration and acoustic platforms, our sensors transmit only information of interest, detect anomalies for predictive maintenance, and detect novelties for real-time adaptive learning.

Cognitive Storage
‍Intelligence Inside the Drive

Our Cognitive Solid-State Drives (CSSD) embed neuromorphic processing directly into storage. In-storage learning and recognition, in-situ pattern matching that reduces I/O, intrinsic content-addressable lookup, de-duplication, and clustering of unstructured data—all with a small footprint and no collateral hardware like cooling fans.

Cognitive Networking
‍Deterministic Intelligence at Wire Speed

Neuromorphic acceleration for content monitoring, deep packet inspection, denial-of-service defense, packet authentication, and person authentication. Deterministic latencies for both learning and recognition enable real-time network intelligence at scale.

After three-quarters of a century, traditional von Neumann computing architectures are hitting limits in power, latency, and adaptability. CPUs and GPUs are having trouble scaling efficiently. Neural AI takes a fundamentally different approach:

Learning and recognition on the chip

Both in a single unit, with deterministic latency

Content-addressable memory

Reactive, without indexing tables or power-management overhead

Stackable design

5,500 neurons per chip, unlimited scaling through chip stacking

Trainability on-chip

Essential for condition monitoring and predictive maintenance

Deterministic learning

Strict control of reference patterns stored in every neuron

Traceability

Ability to locate the stimuli that committed each neuron—critical for safety applications and regulatory compliance