The engine for AI
that keeps learning.
Without the cloud.
VOLTAIC platform
Spiking. Sparse. Persistent.
Most of the network is silent. The rest fires only when needed.
Why this exists
Today’s AI forgets.
We’re fixing that at the engine layer.
Every conversation with a language model starts blank. Every model is retrained from scratch when the world moves on. Every deployment depends on a server farm thousands of miles away.
That works in a browser. It does not work in a factory, a field, or a vehicle — where latency, power, and privacy are physical constraints, not preferences.
Verkko doesn’t build the whole AI stack. We develop VOLTAIC — a research platform for brain-inspired AI. A family of spiking technologies that accumulates memory, adapts in place, and runs on local hardware. Products and platforms are built with it.
Continuous learning
Most AI freezes after training. VOLTAIC technologies keep learning in the field — adding new knowledge without erasing what came before.
Sparse by design
Spiking computation means most of the network is silent at any given moment. The energy cost of inference drops by orders of magnitude.
No cloud dependence
Inference and on-device learning happen locally. No round-trips, no data leaving the premises, no dependence on someone else’s servers.
Inside VOLTAIC
One platform.
Four moving parts.
VOLTAIC is the umbrella for our spiking AI research. Each component addresses a distinct constraint of edge intelligence — computation, memory, retention, and deployment.
Spiking Inference Core
Computation
Brain-style spiking computation. Most of the network is silent most of the time — the rest fires only when needed.
Living Memory
Continuous learning
A memory layer that earns its persistence. New knowledge sticks. Old knowledge stays sharp. No retraining from scratch.
VEE
Retention control
A principled system that decides what to keep and what to let fade as the model takes on new domains.
Sovereign Edge Runtime
Deployment
No cloud dependence. Data stays where it is generated. Privacy and resilience by architecture, not by promise.
Applications
Deployment domains where cloud-dependent AI is structurally limited and edge-native PSI creates immediate value.
Edge-Native Intelligence
Where every event is processed locally, every timescale is remembered, and every deployment gains presence
Neuromorphic
Hardware Integration
Embodied AI
Real-world Learning
Industrial Monitoring and Predictive Maintenance
Edge systems that accumulate machine-specific experience and detect weak failure signals before breakdown.
Precision Agriculture and Environmental Sensing
Milliwatt, low-connectivity deployments for long-duration monitoring in remote and resource-constrained conditions.
Sovereign Infrastructure and Personal PSI
On-device intelligence for critical systems today and private personal persistent intelligence as hardware matures.
Deployment Strategy
PSI is deployed first where cloud AI is unviable, then scaled toward personal and sovereign intelligence. The architecture is designed to move from industrial footholds to long-term infrastructure and personal systems.
Current Trajectory
Where We Are
VOLTAIC is not a concept. The engine is being built and measured. The foundation is in place. Field deployment is the next horizon.
355M
Spiking parameters
Foundation model built on binary spike dynamics across all layers — no smooth activations.
HSC v2
Living Memory
Per-parameter memory consolidation demonstrated across sequential multi-domain training.
VEE
Verkko Equilibrium Engine
Principled system for managing what the model retains and forgets across knowledge domains.
H2
Field deployment pilots
Industrial and environmental intelligence pilots — active preparation underway.
The Destination
70B+ parameters.
>85% sparsity.
A spiking model at this scale — with the majority of computation silent at any given moment — is where the energy and latency advantages of spike-native architecture become structural rather than marginal. This is the horizon that makes personal and sovereign PSI physically real.
70B+
Target parameters
>85%
Spike sparsity
The algorithmic foundations are validated. The next step is proving PSI in the field — where cloud AI cannot follow. If you are building in industrial monitoring, environmental intelligence, or sovereign infrastructure, this is the moment to engage.
Partner With Verkko
Build edge-native, sovereign, and persistent intelligence deployments with our research and engineering team.
Research and Engineering
Pisa, Italy
Largo Spadoni 1
Get In Touch
research@verkko.ai
Location
Faversham, UK and Pisa, Italy