Verkko Robotics · Unveiled 18 June 2026
VOLTAIC
7B
Spiking parameters
88%
Network sparsity
~1.2%
Forgetting rate · Core50
1/50th
Cost vs leading LLMs
A 7B-parameter spiking language model that learns continuously, never forgets, and runs on your hardware.
VOLTAIC is engineered for three things at once: continuous learning without catastrophic forgetting, extreme energy efficiency via 88% sparsity, and sovereign edge deployment — no cloud required.
Visit voltaic.live
Why it exists
Conventional AI was not built for the field.
Today’s dominant models depend on two assumptions: that compute is cheap and centralised, and that learning happens once, in a training run, far from where the model is used.
Both assumptions break the moment AI leaves the browser. Edge environments — vehicles, factories, infrastructure, devices — cannot afford the energy bill, the latency, or the data exposure of a cloud round-trip. They also cannot afford a model that is frozen on the day it shipped.
VOLTAIC is built for the world after that assumption breaks.
Energy by orders of magnitude
Sparse spike activity means most weights contribute zero energy at inference time. The economics of edge AI change when the network is silent more often than not.
Continuous learning, not just inference
Most foundation models are frozen after training. VOLTAIC adapts in place — incorporating new knowledge online while preserving prior capability.
Sovereign by architecture
No cloud dependency. Data does not leave the device unless an operator chooses for it to. Privacy and resilience follow from the system design, not from policy.
Architecture
One platform.
Four moving parts.
VOLTAIC is a fully integrated spiking language model — four co-designed components that each solve a hard constraint of edge intelligence: computation, memory, retention, and deployment.
Spiking Inference Core
ComputationEvery layer of the network operates on binary spikes over discrete timesteps — the same primitive used by biological neurons. Most of the network is silent at any moment; only the part that is needed fires.
Living Memory
Continuous learningA memory layer in which persistence is earned, not assumed. New domains are absorbed without erasing what came before. The model stays sharp across sequential exposure to different bodies of knowledge.
Verkko Equilibrium Engine (VEE)
Retention controlA principled allocator that decides how attention is balanced across past and present knowledge. Replay schedules emerge from a stable equilibrium — no manual tuning, no catastrophic forgetting.
Sovereign Edge Runtime
DeploymentRuns on local hardware. No cloud round-trip required for inference or for incremental learning. Designed for environments where latency, power, or data sovereignty are non-negotiable.
Core IP
Patent pendingThe Accumulative Hull Neuron Model.
Continual learning fails in a specific way. A model that absorbs a new domain tends to lose the last one, and the usual defences — replay buffers, regularisation on individual weights, frozen layers — trade away either capacity or the ability to keep learning at all.
AHNM is the subsystem inside VOLTAIC that resolves this. It governs stability at the level of neuron activation geometry rather than at the level of individual synapses, which lets the network hold on to durable knowledge while remaining plastic at the periphery. It is what makes Living Memory and the Verkko Equilibrium Engine work in practice.
Knowledge that matters is protected structurally. Everything else stays free to change.
~1.2%
Forgetting rate
Measured on Core50 across sequential exposure, where conventional fine-tuning degrades sharply.
0.71×
Average drift
Across fifteen sequential domains. Thirteen of the fifteen showed backward transfer — earlier domains improved.
77%
Split ImageNet-1K
Fourteen points above the prior published record for this continual-learning benchmark.
Trajectory
Where VOLTAIC is going.
Validated across 15 sequential domains. Average drift 0.71× — meaning on average, domains held or improved. 13 out of 15 showed backward transfer. Now scaling to full deployment.
Now
7B params · 88% sparsity
Spiking language model with Living Memory validated on 15 sequential domains. Forgetting rate ~1.2% on Core50. 77% on Split ImageNet-1K — 14 pts above prior record.
Q4 2026
Release
Production deployment in industrial, sovereign infrastructure, and field environments where cloud AI cannot operate.
The destination
70B · 95% sparsity
Always-on personal intelligence that lives on your device, knows your life, and belongs to you — architecturally, not legally.
IP & partnerships
Held by Verkko Robotics.
VOLTAIC is the core IP of Verkko Robotics Ltd, developed at our Pisa R&D division and operated under the Verkko Research Programme.
The product is live at voltaic.live. Commercial deployment and licensing runs through Verkko.ai. Joint research and reference pilots are available to selected partners.
Engagement paths
Reference pilots
Industrial, environmental, or sovereign deployments validated in the field.
Joint research
Institutions and labs collaborating on neuromorphic, plasticity, or embodied directions.
Licensing & strategic partners
For organisations integrating VOLTAIC into proprietary stacks under an IP-safe arrangement.