Charging infrastructure has a software problem.
Rigavolt is a cleantech company building AI-native software for electric vehicle infrastructure. We work at the edge — where the hardware is, where the connectivity often isn't, and where the decisions actually have to be made.
There are no performance figures anywhere on this site, because we have not measured any yet. When there are, they will have been measured by someone other than us.
The unglamorous half of electrification.
Charging networks are being built quickly. The operational layer underneath them — who gets paid, what condition the assets are in, what actually happened at a site — has not kept pace. That gap is the whole business.
Money moves between too many hands
A single charging session can involve a hardware manufacturer, an operator, a service provider, a roaming partner and a driver. Settlement and reconciliation across all of them is nobody's favourite problem and everybody's problem.
Physical assets, largely unwatched
Batteries and charging hardware live outdoors, get handled roughly, and degrade. Their physical condition is assessed by eye, inconsistently, or not at all — and almost never recorded in a form anyone can use later.
The intelligence has to be local
Sites have unreliable connectivity and real objections to sending data offsite. Anything genuinely useful has to run where the hardware is, not in somebody else's data centre.
Two products, one layer of the stack.
Rigavolt Pay
A payments stack for electric vehicle charging.
- Payment acceptance at the point of charge
- Settlement between manufacturers, operators and service providers
- Reconciliation across networks
- Roaming and cross-operator flows
Built for charging infrastructure OEMs and mobility service operators — the businesses that own the hardware and carry the money.
Rigavolt Vision
Battery health and physical damage detection.
- Physical condition assessment
- Damage detection and consistent grading
- Condition history for an individual battery
- An evidence record that holds up in a dispute
For anyone whose economics depend on the physical state of a battery — manufacturers, fleet and swap operators, warranty and second-life assessors.
Edge-native, and close to the metal.
Edge AI by default
Inference runs locally. Connectivity is a convenience, not a dependency. A site with no signal at two in the morning still has to work, and the data does not have to leave the premises for the system to be useful.
Physical AI, not just records
Our problems involve real objects — batteries, connectors, cabinets, vehicles. That means sensing physical state and acting on it, not only moving data between systems.
We partner rather than compete on hardware
We have no ambition to out-manufacture people who already manufacture well. We would rather supply the intelligence that goes inside their product than build a rival to it.
Custom where it has to be
The same capability rarely fits two operators identically. We expect to build against a specific deployment rather than pretend one configuration suits everyone.
We would rather be inside your product than beside it.
If you build charging hardware, battery cabinets, swap stations or the systems that run them — and you need AI or ML capability you would rather not build in-house — that is a conversation we want to have.
Capability inside your hardware
AI and ML that ships as part of your product, under your brand if that is what the arrangement calls for.
Custom development
Where nothing off the shelf fits the problem, we will build the specific thing rather than sell you the nearest thing.
Joint pilots
Early partners shape what gets built. We would rather design against your constraints than against our assumptions.
Early, and saying so.
Rigavolt is at an early stage, and we are not going to dress that up. There is no deployed customer to name on this site and no measured performance to quote, because there is not any yet.
What there is: a clear view of two problems worth solving, the capability to build for them, and a strong preference for finding out we are wrong now rather than in eighteen months.
Tell us where we're wrong.
Charging operators, hardware manufacturers, battery engineers, and anyone who thinks we have the problem framed badly — all equally welcome.