Edge AI that runs
where your data lives.
SpikeEdge builds integrated edge AI systems on custom brain-inspired algorithms — engineered in-house to deploy at low upfront cost and run at a fraction of the ongoing cost of cloud AI.
A fraction of the cost of cloud AI
Conventional AI is expensive to stand up and expensive to keep running — GPU infrastructure, per-query cloud bills, constant retraining. Our spiking neural networks fire only when something happens, so they run on modest local hardware for a fraction of the cost, both up front and over time.
Conventional Cloud AI
- High upfront cost — GPU infrastructure and integration
- Recurring cloud inference and bandwidth bills
- Continuous energy drain, even when idle
- Costly, repeated retraining cycles
SpikeEdge Edge AI
- Low upfront cost — runs on modest local hardware
- No per-query cloud fees — inference stays on-device
- Event-driven — draws power only when it fires
- One-shot learning — adapts without retraining
Integrated edge AI systems, end to end
We don't hand you a model and walk away. We design the algorithm, deploy it on hardware at the point of data, and wire it into how your operation actually runs — one accountable system.
Custom Brain-Inspired Algorithm
We build the model in-house on our proprietary spiking neural network architecture — tuned to your data and your problem, not a generic off-the-shelf network.
Edge Hardware Deployment
The system runs on local hardware at the source of your data — sensors, controllers, on-prem devices. No cloud round-trip, no connectivity dependency.
Operational Integration
We integrate the system into your existing workflows, instrumentation, and decision points so it produces value from day one — not a science project.
Built on brain-inspired intelligence
Every system we ship runs on the Quantum-Holographic Cortical Processor — our in-house architecture that learns the way the brain does: instantly, from a single exposure, without the energy cost of backpropagation. That efficiency is what makes edge deployment affordable.
The technology, applied
Real systems we've built and validated — evidence the architecture performs outside the lab. Client identities are kept confidential.
AI-Vision Lead Engine
An AI-powered pipeline for a commercial energy provider targeting facilities for subsidized utility upgrades. It applies AI vision to satellite imagery to score rooftops for HVAC and solar candidacy, verifies each site against geospatial records, and enriches qualified leads automatically — a working production AI system delivered end to end.
IntelliVest Market AI
A research project applying our brain-inspired architecture to one of the hardest signal problems there is: financial markets. It treats price action as a wave — separating structural shifts from noise — and demonstrates the algorithm holds up against genuinely adversarial, non-stationary data.
SNN Waste-to-Energy Control
An active engineering effort: an SNN-enabled control system for waste-to-energy incinerators that adapts combustion to shifting fuel and airflow on the fly — lifting energy yield where conventional controllers drift. Our entry point into alternative energy, and live proof we build edge AI for industrial, sustainability-driven operations.
Put edge AI to work
Tell us where conventional AI is too slow, too expensive, or too cloud-dependent for your operation. We'll tell you honestly whether an edge AI system is the right fit.