NEUROMORPHIC AI FOR THE EDGE
Generative AI transformed the Cloud. MythWorx brings it to the Edge.
Generative AI transformed the Cloud. MythWorx brings it to the Edge.
MythWorx is proud to announce a new partnership with Joe Gibbs Racing, bringing advanced AI capabilities to one of NASCAR's most competitive teams.
Keep the model you trust for the probable answers.
Keep the model you trust for the probable answers.
Add MythWorx when you need to run offline, prove every step of your reasoning, or bring your compute cost back under control — in mission-critical, off-grid, and highly regulated environments the cloud can't reach.
Add MythWorx when you need to run offline, prove every step of your reasoning, or bring your compute cost back under control — in mission-critical, off-grid, and highly regulated environments the cloud can’t reach.
WHY MYTHWORX
You didn't get the cloud wrong. You just haven't gone everywhere yet.
You didn’t get the cloud wrong. You just haven’t gone everywhere yet.
Enterprises have already invested billions in GPUs and large language models — and for good reason.
Enterprises have already invested billions in GPUs and large language models — and for good reason.
They're extraordinary at generating, drafting, and predicting. But every real deployment eventually hits a wall the cloud can't cross: no connectivity, no tolerance for a black box, or no budget for another GPU cluster.
They're extraordinary at generating, drafting, and predicting. But every real deployment eventually hits a wall the cloud can't cross: no connectivity, no tolerance for a black box, or no budget for another GPU cluster.
"You built a great foundation in the cloud. Let's help you take it to the factory floor — and beyond."
That's not a reason to rip out what you've built. It's a reason to extend it.
"You built a great foundation in the cloud. Let's help you take it to the factory floor — and beyond."
That's not a reason to rip out what you've built. It's a reason to extend it.
THE APPROACH
Neuromorphic reasoning + generative modeling, engineered for the edge.
Neuromorphic reasoning + generative modeling, engineered for the edge.
MythWorx pairs a brain-inspired reasoning core with generative AI, so it can run where transformer stacks can't.
MythWorx pairs a brain-inspired reasoning core with generative AI, so it can run where transformer stacks can't.
On a CPU, offline, or fully air-gapped — while staying auditable enough for regulated, mission-critical decisions.
On a CPU, offline, or fully air-gapped — while staying auditable enough for regulated, mission-critical decisions.
Neuromorphic design
Neuromorphic design
Brain-like attention, memory consolidation, and contextual reasoning.
Brain-like attention, memory consolidation, and contextual reasoning.
Generative modeling
Generative modeling
Fluent multi-modal understanding and language capability.
Fluent multi-modal understanding and language capability.
Dynamic plasticity
Dynamic plasticity
Rewires itself as it learns, without a full retrain.
Rewires itself as it learns, without a full retrain.
Pruning & deduplication
Pruning & deduplication
Stays small and fast by shedding what it doesn't need.
Stays small and fast by shedding what it doesn't need.
THE MYTHWORX PLATFORM
Three engines. One complementary layer that meets your stack wherever it runs.
Three engines. One complementary layer that meets your stack wherever it runs.
TRAIN
TrainingWorx℠
TrainingWorx℠
Train once, extend forever.
Modular, Sequential Training
Modular, Sequential Training
Builds specialized models on your own data, one expert at a time, without the cost or risk of retraining a dense model from scratch.
Builds specialized models on your own data, one expert at a time, without the cost or risk of retraining a dense model from scratch.
90%+ Lower Training Cost
90%+ Lower Training Cost
A 7B-parameter model trained on 500B tokens costs roughly $75K with TrainingWorx℠, versus $750K–$2.5M for equivalent dense training on cloud or on-prem GPU clusters.
A 7B-parameter model trained on 500B tokens costs roughly $75K with TrainingWorx℠, versus $750K–$2.5M for equivalent dense training on cloud or on-prem GPU clusters.
Update Without Starting Over
Update Without Starting Over
New capabilities come from training a single new expert module — no full retraining, and no risk of overwriting what the model already knows.
New capabilities come from training a single new expert module — no full retraining, and no risk of overwriting what the model already knows.
REASON
NeuroWorx℠
NeuroWorx℠
The reasoning engine for when the answer has to be provable.
Ultra-Low Power
Ultra-Low Power
Runs on 10–50W CPUs, as little as 1/50th the power of a comparable GPU-based system — no accelerators required.
Runs on 10–50W CPUs, as little as 1/50th the power of a comparable GPU-based system — no accelerators required.
Verifier-First Reasoning
Verifier-First Reasoning
Tests possibilities, evaluates constraints, and eliminates invalid pathways before producing a conclusion — not a probabilistic guess.
Tests possibilities, evaluates constraints, and eliminates invalid pathways before producing a conclusion — not a probabilistic guess.
Zero Hallucinations, Full Auditability
Zero Hallucinations, Full Auditability
Every conclusion ships with a traceable logic trail: the evidence used, the constraints applied, and the alternatives it ruled out.
Every conclusion ships with a traceable logic trail: the evidence used, the constraints applied, and the alternatives it ruled out.
DEPLOY
TensorWorx℠
TensorWorx℠
One codebase, every deployment target.
Write Once, Run Anywhere
Write Once, Run Anywhere
Python and Rust as equal, first-class interfaces let teams write one codebase and run it on CPU, CUDA, ROCm, Metal, or emerging neuromorphic hardware.
Python and Rust as equal, first-class interfaces let teams write one codebase and run it on CPU, CUDA, ROCm, Metal, or emerging neuromorphic hardware.
Extends Your Research Stack
Extends Your Research Stack
Doesn't replace PyTorch in research; it's the production-grade bridge that gets a model out of the lab and into the field without a rewrite.
Doesn't replace PyTorch in research; it's the production-grade bridge that gets a model out of the lab and into the field without a rewrite.
Built for Distributed, Regulated Deployments
Built for Distributed, Regulated Deployments
Purpose-built for robotics, industrial sensors, defense systems, and privacy-sensitive healthcare infrastructure — AI running outside the datacenter.
Purpose-built for robotics, industrial sensors, defense systems, and privacy-sensitive healthcare infrastructure — AI running outside the datacenter.
You already built the foundation. Let's help it go further.
You already built the foundation. Let’s help it go further.
Whether it's a factory floor, a ship, a hospital, or an air-gapped facility — if your AI needs to work where the cloud can't follow, we should talk.
Whether it’s a factory floor, a ship, a hospital, or an air-gapped facility — if your AI needs to work where the cloud can’t follow, we should talk.
MythWorx, LLC © 2026 All rights reserved