Powerverse Raya is an AI scheduling platform that sits on top of compatible home energy hardware and automatically decides when to charge your EV, when to charge your battery, and how to coordinate heat pump operation — using a combination of tariff rate forecasts, weather data, and your household’s energy patterns. Unlike a fixed timer that starts at 23:30 and stops at 05:30, Raya learns which half-hours are genuinely cheapest on your specific tariff and adjusts its schedule dynamically to match.
Raya is produced by Powerverse, the parent company of Hypervolt. Its native hardware integration is with the Hypervolt Home 3 Pro, though the platform is designed to expand to other devices and brands. For broader context on how AI scheduling fits into a home energy ecosystem, see our home energy ecosystem guide.
What is Powerverse Raya?
Powerverse is a home energy technology company based in the UK. It acquired Hypervolt and uses the Hypervolt charger platform as the primary hardware foundation for Raya.
Raya is a cloud-based software layer. It connects to your charger, your energy tariff’s rate data, and optionally your battery or heat pump, then runs scheduling decisions from the cloud on a continuous basis. You set goals — “charge my car to 80% by 7:00 am, keep the house warm, minimise cost” — and Raya attempts to achieve those goals at the lowest possible electricity spend.
The platform is a relatively new entrant to the UK market. Verify the current product name, features, and compatible hardware list at powerverse.com before making purchasing decisions based on Raya specifically — as an early-stage product it has been updated frequently since launch.
How AI scheduling differs from a timer
A fixed timer schedule is the baseline approach to smart EV charging: you set the charge window to 23:30–05:30 (the Octopus Intelligent Go cheap window) and your car charges during those hours. This works, but it has two limitations:
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It does not respond to dynamic rate changes. On Octopus Agile or Octopus Flux, rates change every 30 minutes and the cheapest half-hours vary daily. A fixed timer cannot optimise within these dynamic windows — you would need to adjust the schedule manually.
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It does not account for your household’s context. A fixed timer charges the car from 23:30 regardless of whether the battery is already full from afternoon solar, whether tomorrow requires a longer range, or whether the forecast predicts surplus solar in the morning that could top up the car more cheaply.
Raya addresses both limitations by running three decision layers simultaneously:
Layer 1 — Tariff rate lookup: For Octopus Agile users, Raya pulls the published half-hourly rates from Octopus’s API and identifies the cheapest periods across the overnight window. On Intelligent Octopus Go, it defers to the Octopus scheduler for the native cheap window, then uses any extensions Octopus grants.
Layer 2 — Weather and solar forecast: Raya integrates weather forecast data to predict how much solar generation is expected the next day. If a sunny morning is forecast, it may reduce overnight charging slightly to allow room for the car to top up from solar surplus during the day. This is most relevant on variable tariffs where the cost of overnight grid charging versus daytime solar self-consumption is close.
Layer 3 — Household pattern learning: Over time, Raya learns your household’s energy consumption patterns — when you typically arrive home, when you depart, how much the house draws in the evening, and how much the EV is typically used each day. This context allows it to prioritise charging more accurately than a fixed window.
What hardware Raya supports
Native integration:
- Hypervolt Home 3 Pro (the primary supported charger)
Expanding support (verify current status at powerverse.com):
- Heat pumps via OpenTherm or Modbus protocol — Raya has signalled heat pump integration on its roadmap, though the range of compatible heat pump models and the maturity of this integration varies. Confirm current compatible models before purchasing specifically for heat pump control.
- Third-party home batteries via API — limited integration with some battery systems has been explored, but this is an area of active development.
Raya is currently most fully featured when paired with a Hypervolt charger. Households running other charger brands cannot currently access Raya. This is a meaningful constraint for the platform’s addressable market.
How Raya interacts with UK smart tariffs
Octopus Agile: This is where Raya provides the most distinctive benefit. Agile’s half-hourly rates are published by Octopus via API the evening before for the next day. Raya pulls this data, identifies the cheapest consecutive windows overnight, and schedules charging precisely into those periods. On nights where prices spike (cold, still, high-demand evenings), Raya can delay charging to later cheap periods or reduce charge rate to avoid expensive half-hours.
Octopus Intelligent Go: On Intelligent Go, Octopus manages the dispatch of cheap windows based on grid demand. Raya defers to Octopus’s own scheduling API for the native cheap window and the extended periods Octopus grants. The marginal benefit over Hypervolt’s native Octopus IG integration (without Raya) is smaller on Intelligent Go than on Agile.
Octopus Intelligent Flux: Raya can optimise export timing on Flux tariffs by scheduling battery charging during cheap overnight import periods and prioritising EV charging to coincide with peak export prices (afternoon) when the car is not in use.
The platform’s usefulness scales with tariff dynamism. On a flat tariff, there is no scheduling decision to optimise — Raya provides minimal benefit. On Agile, where half-hourly prices can range from negative to 40p/kWh, Raya’s optimisation can produce meaningfully lower costs.
Real-world savings from AI scheduling
Powerverse claims that Raya can deliver 10 to 20% additional savings compared with a manual schedule. This figure is a marketing claim from the manufacturer and should be treated as directional rather than guaranteed. Actual savings depend on:
- Your specific tariff (Agile sees the largest benefit; flat tariffs see minimal benefit)
- Your daily EV usage pattern (irregular schedules benefit more than regular commuters)
- Whether you have solar (Raya adds solar forecast interaction for solar users)
- How well-optimised your existing manual schedule already is
The largest gains from AI scheduling tend to accrue to households with irregular usage patterns — people who sometimes need a full charge, sometimes a partial, who sometimes work from home and sometimes commute — because for these households a fixed schedule is often either over- or under-charging relative to actual need.
The smallest gains are for regular commuters on Intelligent Go who already charge to 80% every night on a fixed timer. In that case, the difference between a well-set fixed timer and AI scheduling is marginal.
Privacy and data
Raya operates as a cloud service, which means it processes your household’s energy consumption data and vehicle charging patterns on Powerverse’s servers. The platform operates under UK GDPR compliance. Key points from Powerverse’s privacy policy:
- Opt-in data processing: you consent to data collection during account setup
- Household energy data is used for scheduling optimisation only and is not sold to third parties
- Data is stored in UK or EU data centres
If household data privacy is a concern, it is worth reviewing Powerverse’s current privacy policy at powerverse.com before signing up, as cloud-based energy management services hold a meaningful amount of consumption pattern data.
As with any always-on cloud service, Raya’s scheduling function depends on a live cloud connection and on the continued availability of Powerverse’s servers and tariff API integrations. A prolonged cloud outage would fall back to the charger’s default scheduled charging.
Limitations and caveats
Raya is a newer product in an established market. Before purchasing or recommending it, consider the following:
Cloud dependency: Scheduling decisions are made in the cloud, not on-device. Internet connectivity and cloud server availability are prerequisites for AI scheduling to function.
Hardware breadth: Native integration is currently limited to Hypervolt. Households with myenergi, GivEnergy, or Ohme chargers cannot use Raya.
Tariff API availability: Raya’s dynamic scheduling depends on the tariff provider publishing rate data via API. Tariffs that do not have public APIs — or whose APIs change — limit Raya’s ability to optimise.
Product maturity: As a relatively new platform, Raya’s firmware, app features, and compatible device list are updated frequently. Features that are described in brand marketing may be at different levels of maturity in the live product.
Best fit: Raya is best suited to households with a Hypervolt charger, an Octopus Agile or Flux tariff, solar panels, and irregular usage patterns. For regular commuters on Intelligent Go without solar, the incremental benefit over Hypervolt’s native IG integration is small.
Who should use Raya?
Strong fit:
- Hypervolt Home 3 Pro owners on Octopus Agile or Flux
- Households with solar where the interaction between morning solar forecast and overnight charging genuinely affects the optimal schedule
- Households with irregular EV usage — varying range needs, varied departure times
- Early adopters willing to engage with a developing product for potential savings
Weak fit:
- Regular commuters with predictable usage on Intelligent Go — a well-set timer achieves nearly the same result
- Households with non-Hypervolt chargers — Raya is not available
- Households on flat-rate tariffs — no dynamic rate data to optimise
Get quotes for a Hypervolt and Raya install
Raya sits on top of a Hypervolt Home 3 Pro installation. The charger installation itself is the starting point.
Get quotes for a Hypervolt installer from approved professionals across the UK. Ask your installer about Raya setup during commissioning.
Key Takeaways
- Powerverse Raya is an AI scheduling platform from Hypervolt’s parent company, Powerverse, built to optimise EV charging, battery management, and heat pump operation using tariff forecasts, weather data, and household pattern learning.
- Unlike a fixed timer, Raya adjusts its schedule dynamically based on Octopus Agile half-hourly rates or extended Intelligent Go windows, rather than operating within a fixed overnight window.
- Raya natively supports the Hypervolt Home 3 Pro and is expanding to heat pumps and third-party batteries, though the breadth of integration should be verified at powerverse.com before purchase.
- Savings claims of 10 to 20% over manual scheduling are manufacturer estimates — real-world gains depend on your tariff, usage regularity, and solar setup.
- Raya requires opt-in to cloud-based household energy data processing and a continuous internet connection to function.
Frequently Asked Questions
What is Powerverse Raya? Powerverse Raya is an AI scheduling software platform produced by Powerverse, the parent company of Hypervolt. It connects to your Hypervolt charger, your energy tariff’s rate data, and optionally your home battery or heat pump, then automatically schedules charging and discharging to minimise your electricity cost. It uses a combination of tariff forecasts, weather predictions, and learned household patterns to go beyond what a fixed timer can achieve.
Does Raya work with Octopus Intelligent Go? Yes. On Octopus Intelligent Go, Raya defers to Octopus’s own scheduling API for the native cheap window (23:30–05:30) and any demand-management extensions Octopus grants. The additional benefit Raya provides over Hypervolt’s native IG integration on its own is relatively modest for regular commuters. Raya’s advantage is more pronounced on Octopus Agile, where dynamic half-hourly rates create a larger optimisation opportunity.
Can Raya control my heat pump? Raya has heat pump control on its roadmap, targeting integration via OpenTherm and Modbus — the two main heat pump communication protocols used in UK installations. The breadth of compatible heat pump models and the current maturity of this integration varies. Verify the specific heat pump models supported at powerverse.com before purchasing on this basis.
Is my data safe with Raya? Raya operates under UK GDPR compliance. Data collection requires explicit opt-in during account setup. Powerverse states that household energy data is used only for scheduling optimisation and is not sold to third parties, and that data is stored in UK or EU data centres. As with any cloud-based service, you should review Powerverse’s current privacy policy for up-to-date detail before proceeding.
How much extra will I save with AI scheduling? Powerverse claims 10 to 20% additional savings over a manual schedule. This is a manufacturer estimate and your actual savings will depend on your tariff, how variable your daily EV usage is, and whether you have solar. The largest gains come from households on Octopus Agile with irregular usage patterns; the smallest gains come from regular commuters on flat Intelligent Go windows who already use a well-set timer.
Useful Resources
Powerverse Raya product page (verify current features) https://powerverse.com
Octopus Agile API developer documentation https://octopus.energy/dashboard/developer
ICO guidance on smart home devices and UK GDPR https://ico.org.uk