Solvra.AI
Solvra.AI is a vendor-neutral AI decision layer for distributed energy. It forecasts, optimises and dispatches solar, battery storage, EV charging and industrial storage as one system, in real time, on hardware that is already installed.
What is Solvra.AI?
Solvra.AI is an AI decision-intelligence layer for distributed energy, published by Elektro Grün AI GmbH of Linz, Austria. Its stated purpose is to make a single coordinated system out of assets that are normally installed and controlled separately: rooftop and commercial solar, battery storage, EV charging and industrial storage. The pitch is deliberately narrow on one point: it is vendor-neutral and sits on top of hardware already in the ground, with "no rip-and-replace required".
The problem it describes is that most energy systems still run on static rules and fixed schedules rather than on live weather, prices and demand. The site breaks this into three failures: systems are reactive rather than predictive, with no forecasting and manual load control; there is little visibility, so asset performance and savings are hard to track; and grid pressure is growing as EV charging and storage add new peaks while batteries remain under-optimised.
The product is presented as three intelligence layers rather than a dashboard — the site is explicit that it is "not another dashboard". The first serves end users, with real-time forecasting, battery and EV optimisation and maximised self-consumption for residential and SME sites. The second serves finance and leasing, with production and ROI prediction, real-time asset visibility and lower financing risk for lenders. The third covers grid and industrial storage intelligence: peak-load and grid optimisation, industrial BESS, announced sodium-ion readiness, and control of EV charging and microgrids.
Operationally it runs a continuous three-step loop. Forecast projects weather, generation, price signals and consumption on a rolling basis per site. Optimize sets charge, discharge and export schedules across all assets to minimise cost under real constraints. Dispatch sends commands to the hardware, then the cycle re-runs. The company claims 94.6% forecast accuracy in live deployment, without publishing a measurement protocol or date. Connectivity is listed as Modbus, MQTT, REST APIs, OCPP, smart meters and cloud-to-cloud.
The company is based at the LIT Open Innovation Center at JKU Linz, works with installers and integrators across Austria, and names one commercial deployment, Elektrotechnik Rezaei.
What it does
- Forecast generation, consumption, weather and price signals continuously for each connected site
- Set battery charge, discharge and export schedules that minimise cost under real constraints
- Dispatch commands to existing hardware and re-check as conditions change
- Optimise EV charging and shave peak loads
- Maximise self-consumption and track the resulting savings
- Predict production and ROI to reduce financing risk on energy assets
- Coordinate industrial BESS and microgrids, with sodium-ion readiness announced
When to use Solvra.AI / When not to
A quick filter to help you decide if Solvra.AI is the right fit.
When to use Solvra.AI
- Homeowners and SME sites that already run solar, a battery and an EV charger but control each one separately
- Electrical installers and system integrators looking to add forecasting and optimisation to systems they have already commissioned
- Industrial sites operating a BESS and paying for peak demand they could shift
- Lenders, lessors and asset financiers who need production and ROI predictions before backing an energy project
- Grid-facing operators running EV charging estates or microgrids that need coordinated dispatch
When not to use Solvra.AI
- Buyers who need a published price before they will talk to a vendor, since no rates appear anywhere on the site
- Anyone requiring contractual guarantees up front, as no terms, privacy policy or legal notice is published at all
- Teams wanting to self-serve through an API or a mobile app, neither of which exists
- Organisations with strict vendor due-diligence rules, given a company incorporated in August 2025 with two declared staff
- Sites with no existing solar, storage or EV assets, since the product optimises hardware rather than supplying it
How to use Solvra.AI
A typical end-to-end flow, from setup to results.
- Check that the site already has the assets the platform optimises: solar, battery storage, EV charging or industrial storage
- Confirm those assets expose a control or data interface over Modbus, MQTT, REST, OCPP, a smart meter or a cloud-to-cloud link
- Contact the publisher through the homepage, which is the only entry point: there is no sign-up and no self-service trial
- Use the published channels if preferred: info@elektrogrunai.at or +43 676 6033 525, with Amir Shams named as the contact
- Identify which of the three layers applies to your case: end-user optimisation, finance and leasing forecasting, or grid and industrial storage
- Agree commercial terms directly with the publisher, since no price, plan or contract is published
- Request the contractual documents in writing, as no terms or privacy policy exist on the website
- Arrange the integration with the publisher or your installer, as no public technical documentation is available
- Once connected, the forecast, optimise and dispatch loop runs continuously without further user action
Pros & Cons
Pros
- Vendor-neutral by design: it adds intelligence to installed hardware instead of replacing it
- Covers solar, battery, EV charging and industrial storage in a single product rather than four tools
- Wide range of genuine industrial protocols, including OCPP for charging and Modbus for inverters
- A named commercial deployment is claimed to be live, not merely a pilot list
- Backed by an identifiable academic ecosystem at JKU Linz and its LIT Open Innovation Center
- Full legal identity is published on the site, company name and register number included, and it checks out against the Austrian register
- Addresses financing explicitly, which few energy optimisation tools treat as a first-class use case
Cons
- No price, plan or trial is published anywhere, so the cost cannot be estimated at all
- No terms, privacy policy or legal notice exists on the site, an absence verified rather than assumed
- A single-page website with no product documentation, no demo and no detailed technical material
- No public API and no mobile application, both checked directly
- Only one named customer, which is thin evidence of deployment at scale
- Very young company, incorporated on 19 August 2025, with two staff declared on LinkedIn
- The 94.6% accuracy claim carries no protocol, date or scope, and cannot be assessed
Pricing & Plans
No pricing is published. The website carries no pricing page — the /pricing path returns a genuine 404 — and no plan, tier, amount, currency or free trial is mentioned anywhere on it. There is also no permanent free plan on offer, and none is ruled out. The commercial route is contact-based: the site invites visitors to "Talk to us" and to "Let's deploy Solvra.AI", with a named contact, an email address and a telephone number. Any prospective customer must therefore request a quotation directly from the publisher, and no entry price can be stated here without inventing one.
Data, GDPR & hosting
A consolidated view of how Solvra.AI handles your data.
GDPR overview
There is no GDPR mention of any kind on the website. The publisher, Elektro Grün AI GmbH, is established in Linz, Austria, so the GDPR applies to it as a matter of law, but the site never claims compliance, names no data protection officer, publishes no privacy policy and gives no dedicated privacy contact. The only address shown is a general one. It is also worth noting that Austrian law requires an Impressum on a commercial website (§ 5 ECG and § 14 UGB), and none is published here. The compliance field is therefore left blank rather than marked negative: the regulation clearly applies, but the publisher has documented nothing about how it meets it.
Who owns the data?
Nothing can be reported on data ownership, because the publisher has put no contractual document online. There are no terms and conditions, no privacy policy and no legal notice: paths such as /terms, /privacy, /datenschutz and /impressum all return a genuine 404, and the site carries no robots.txt, sitemap or llms.txt either. The homepage is the entire website. Consequently there is no published statement saying who owns the telemetry, forecasts and consumption data the platform would process, what the publisher may do with it, or with whom it may be shared. Any prospective customer should obtain these commitments in writing directly from the company before connecting any asset.
Reuse rights
The site publishes no terms of use, so there is no statement granting or restricting reuse of data by the customer. What the platform evidently handles can only be inferred from the product description: weather, generation, price signals, consumption patterns and live telemetry from inverters, batteries, meters and EV chargers, exchanged over Modbus, MQTT, REST, OCPP or cloud-to-cloud links. Whether a customer may export, reuse or redistribute that data, and on what terms, is simply not addressed anywhere on the website. This is an absence of documentation rather than a restriction, and it has to be settled contractually with the publisher.
Data retention & training
Hosting summary
No data hosting information is published. The site has no privacy policy, no security page and no trust centre, so there is no statement of jurisdiction, data centre location, storage region or transfer safeguard for customer energy data. One technical observation should not be mistaken for such a statement: the marketing site itself is served from Netlify, with DNS at Wix and an apex address that resolves to an anycast AWS Global Accelerator node. That describes where the public web page is served from, and says nothing whatsoever about where the platform processes or stores the telemetry, forecasts and consumption records of connected sites. Since the publisher is established in Austria, EU law would govern that processing, but the location itself remains undocumented and would have to be confirmed directly with the company.
Things to keep in mind
Risks and trade-offs to weigh before adopting Solvra.AI.
- No contractual document exists: with no terms or privacy policy, there is nothing written down about liability, data ownership or termination before you connect live assets
- The product writes commands to real electrical hardware, so a faulty forecast or dispatch decision has physical and financial consequences, not merely reporting ones
- Austrian law requires an Impressum on a commercial site (§ 5 ECG, § 14 UGB) and none is published, which is a compliance signal worth raising with the vendor
- The 94.6% accuracy figure is unsourced and undated; treating it as a guarantee of savings would be a mistake
- Delegating dispatch decisions to an opaque optimiser can erode an operator's own understanding of how their system behaves, making problems harder to diagnose later
- The company is very small and very new, so continuity of service and support depends on a handful of people
- Nothing is published about where energy and consumption data is hosted, how long it is kept, or whether it feeds model training
Setup & Integrations
Technical difficulty
Setup is professional rather than self-service. There is no sign-up, no trial and no public documentation, so deployment goes through the publisher. The platform must be connected to existing assets over Modbus, MQTT, REST, OCPP, smart meters or a cloud-to-cloud link, which assumes both installed hardware and control-level access to inverters, batteries or chargers. The company addresses installers and integrators directly, which confirms that a qualified party is expected to be involved. The mitigating factor is that no hardware is replaced: the publisher states explicitly that no rip-and-replace is required.
Behind Solvra.AI
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What is Solvra.AI?
Do I have to replace my existing equipment?
Which equipment and protocols does it connect to?
How does it actually work?
How accurate are the forecasts?
How much does it cost?
Is there an API or a mobile app?
Who publishes Solvra.AI?
Where is it deployed today?
Does the site publish terms or a privacy policy?
Should you pick Solvra.AI?
Solvra.AI addresses a real and well-identified problem. Solar, batteries and EV chargers are routinely installed and controlled in isolation, on fixed schedules that ignore live weather, prices and demand, and a software layer that coordinates them without replacing anything is a sensible answer. The technical framing is coherent: a rolling forecast, an optimisation engine that sets charge, discharge and export schedules, and a dispatch step that writes back to the hardware over genuine industrial protocols. The three named audiences — end users, financiers, and grid or industrial operators — are distinct and plausible.
What is missing is almost everything a buyer needs in order to commit. There is no published price, no plan and no trial. There are no terms and conditions, no privacy policy and no legal notice, and that absence was verified rather than inferred. There is no documentation, no demo, no API and no mobile application. One customer is named. The headline claim of 94.6% forecast accuracy arrives with no protocol, no date and no scope, so it cannot be weighed.
The publisher's identity, by contrast, is unusually transparent for a company this young: the site prints its legal name and register number, and both check out against the Austrian commercial register, which also shows a single owner and a company incorporated on 19 August 2025.
The fair reading is that this is an early-stage product with a credible thesis and an unproven commercial track record. It is worth a conversation for anyone already running mixed distributed energy assets in Austria, particularly through an installer. It is not yet something to procure on the strength of the website alone, and any engagement should start by obtaining in writing the contractual and data protection terms the site does not publish.
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