Intelligence that belongs at the edge
The cloud is too slow and too expensive. Traditional deep learning is too power-hungry. SpikeEdge Solutions exists to build a more efficient kind of AI — brain-inspired systems that run on local hardware, for a fraction of the cost.
Max Wilson
Founder & Lead Architect
Background
Computer Science graduate from Rutgers University, specialized in Neuromorphic Computing and bio-physical AI architecture design.
Areas of Focus
- Brain-Inspired AI
- Neuromorphic Systems
- Spiking Neural Networks
- On-Device Inference
- Edge Deployment
Serving
Based in Perth Amboy, NJ.
NYC Metro Area and beyond.
“I founded SpikeEdge to solve the efficiency crisis in AI. While big tech builds larger data centers, we focus on making intelligence smaller, faster, and local.”
The “Spike”
The fundamental communication unit in biological neural networks. Unlike traditional AI that “thinks” continuously, a Spiking Network is event-driven — it only fires when data changes. This results in massive energy savings and millisecond latency at the edge.
The “Edge”
The deployment of intelligence on local hardware — IoT sensors, industrial controllers, smart systems — rather than the cloud. We believe privacy and speed require data to be processed where it is born, without a round-trip to a remote server.
Built in-house, deployed end to end
We own the full stack — the brain-inspired algorithm, the edge deployment, and the integration into your operation. That’s how we keep systems efficient, accountable, and affordable to run.
Proprietary algorithms
Our spiking neural network architecture is developed in-house — no licensing fees, no black-box dependencies, full control over how each system learns.
Efficiency by design
Event-driven, one-shot learning means modest hardware and no retraining bills. Low cost isn’t a discount — it’s a property of the architecture.
One accountable partner
From research to deployment, you work with the people who built the system. No hand-offs, no finger-pointing between vendors.