
Alora
Alora is Xsupra's agentic AI farm assistant. Ask by voice or text about your own fields, photograph a diseased crop, dictate your fieldwork, and get a personalised audio briefing each morning. It acts, not just answers.
What is Alora?
Alora is the conversational agent at the centre of Xsupra, an AI-native farm management platform published by XSUPRA GmbH in Halle (Saale), Germany. Xsupra presents it not as a chatbot but as an agent with read and write access: it creates records, plans tasks and updates fields rather than only answering questions.
What separates Alora from a general-purpose assistant is the material it reasons on. Every answer is computed from the grower's own data — field boundaries, soil analyses, hyperlocal weather, crop and growth stage, market prices and current agricultural regulation. Four input channels feed it: typed questions, spoken questions, photographs and uploaded documents such as laboratory reports.
Its core functions are consistent across the web app and the iOS and Android apps. Photograph a pest, a weed or a symptom and Alora returns a probable cause, a severity and a next step, logging the picture with the entry. Describe the day's work out loud and it converts the dictation into a digital field record — a German Ackerschlagkartei — without a single form. Each morning it assembles an audio briefing said to draw on seven context layers: farmer identity, long-term memory, the day's risk assessments, weather, agricultural news, conversation history and recent exchanges. NDVI, soil, sampling and variable-rate maps render inside the conversation itself, and CSV, JSON or a DüV compliance PDF can be generated from the same thread.
Behind the conversation sits a proprietary risk engine that Xsupra says screens more than 1,200 factors per field and per sub-field zone every day, fed by satellite indices, terrain, soil chemistry, weather and the farm's own logbook. Alora also keeps a persistent memory of the operation: priorities, corrections and farming style are carried forward, and the vendor describes the profile deepening from week one through a full season and beyond.
Xsupra claims more than 100 farms across the EU. Alora is not sold separately — it belongs to the Pro plan, and the platform's free tier does not include it.
What it does
- Answer a field-specific agronomic question asked by voice or by text
- Identify a disease, pest or deficiency from a photograph and suggest the next step
- Turn dictated fieldwork into a proper digital field record
- Deliver a personalised audio briefing on the whole farm each morning
- Display NDVI, soil, sampling and variable-rate maps inside the conversation
- Generate CSV and JSON exports or a DüV compliance PDF from the chat
- Retrieve what happened on any parcel across previous seasons
When to use Alora / When not to
A quick filter to help you decide if Alora is the right fit.
When to use Alora
- Arable farmers in Europe who want field-specific answers without leaving the tractor cab, since Alora takes spoken questions hands-free and replies in the user's language
- Agricultural consultants handling many client fields, who need soil data, field history and current status pulled up in seconds across several operations
- Farm successors taking over a family business, who can ask what was grown, applied or limed on any parcel across past seasons instead of guessing
- Cooperatives running member farms on one consistent data structure, with unified monitoring and reporting rather than a patchwork of spreadsheets
- Growers subject to German fertiliser and subsidy rules, who need a digital field record and DüV or subsidy documentation produced as they work
When not to use Alora
- Anyone hoping to use the assistant free of charge: Alora sits in the paid Pro plan, and the platform's free tier lists soil maps and vegetation indices without it
- Livestock operations, since the whole product is built around arable fields, soil chemistry and crop rotation and never mentions animals
- Growers outside a German regulatory context, who will find the compliance layer written around DüV, KULAP and the Ackerschlagkartei
- Developers wanting to build on an API, as no public documentation exists and API access is announced only in the Enterprise tier
- Users who need legally binding agronomic advice, since the terms disclaim any warranty on the accuracy or completeness of the results produced
How to use Alora
A typical end-to-end flow, from setup to results.
- Create an account on farm.xsupra.io; no credit card is required for the free tier
- Draw your field boundaries on the map, or import them from the agricultural software you already use
- Allow a few minutes per field for the boundaries to be captured
- Add soil analysis results if you have them; they are optional to start but sharpen the maps
- Wait roughly 24 hours for the first vegetation maps, soil data and opening briefing
- Subscribe to the Pro plan, since Alora is not part of the free tier
- Open the chat in the web app or the mobile app and ask your first field question in plain language
- Grant microphone, camera and location permissions on mobile to unlock voice, photo scouting and location services
- Dictate the day's work so it is written into your digital field record
- Set your push notification preferences, and ask Alora itself how any feature works
Pros & Cons
Pros
- Answers are grounded in the user's actual field, soil and weather data rather than in generic agronomic advice
- Four input modes, including hands-free voice designed for use from the tractor
- The agent writes as well as reads: it creates entries, plans tasks and updates fields
- Persistent memory carries priorities and corrections forward from one season to the next
- EU hosting and GDPR compliance are claimed explicitly, and the terms leave data ownership with the customer
- The publisher sells neither fertiliser nor seed, so recommendations carry no input-vendor margin
- Named customers report concrete time savings, from two to three hours of research a week to around six hours of field inspection
Cons
- Alora is excluded from the free tier and requires the Pro plan at EUR 50 per month excluding VAT
- Pricing scales with area: 100 hectares are included, then EUR 0.30 per hectare per month
- The site contradicts itself, promising "free to get started" on the Alora page while the pricing page places the assistant in Pro only
- The free Alora trial advertised at agri-chat.de did not respond when checked on 31 August 2026
- Terms and privacy policy are published in German only, although the site itself is translated into seventeen locales
- No public API documentation exists, and API access is reserved for the Enterprise tier
- The publisher trains its own models on anonymised, aggregated data with no documented opt-out
Pricing & Plans
There is no permanent free plan for Alora itself. The Xsupra platform does offer a free tier at EUR 0 per month, but its published feature list covers sampling maps, soil property maps, vegetation indices, weather data and a field dashboard, and does not include the assistant. The cheapest entry point that grants full access to Alora is therefore the Pro plan at EUR 50 per month excluding VAT, which includes 100 hectares, with EUR 0.30 per hectare per month for additional area. An Enterprise plan is quoted on request. Invoicing is monthly, payable within fourteen days, by card or bank transfer, and the contract may be cancelled the day before each monthly renewal without penalty.
- sampling map creation
- high-resolution soil property maps
- vegetation indices for all fields
- weather data and a field dashboard
- full access to Alora by voice and text
- the daily personalised audio briefing
- field-specific answers and recommendations
- daily trafficability updates
- risk alerts for weather
- disease and vegetation anomalies
- the digital Ackerschlagkartei and AI-based action recommendations
- everything in Pro
- plus API access for integrations
- connection to existing farm management systems
- advanced analytics and reporting
- custom dashboards
- unlimited users
- a dedicated account manager and priority support
Data, GDPR & hosting
A consolidated view of how Alora handles your data.
GDPR overview
GDPR is addressed concretely, not by slogan. The publisher is established in Germany, so the GDPR and the BDSG apply directly, and the privacy policy names XSUPRA GmbH as controller with legal@xsupra.io as the contact. Legal bases are set out article by article: 6(1)(b) for performing the contract, 6(1)(f) for improving the platform, 6(1)(c) for tax and retention duties, and 6(1)(a) for consent-based processing such as push notifications. Data subject rights under articles 15, 16, 17, 18, 20 and 21, plus withdrawal of consent under 7(3), are listed, and the competent supervisory authority is named with its postal address in Magdeburg. Transfers outside the EU rely on standard contractual clauses. A separate article 28 processing agreement is concluded where XSUPRA processes on the customer's behalf. The policy is dated March 2026.
Who owns the data?
The customer keeps the data. Clause 10.3 of the terms states that the user retains all rights to the data and content entered into the software, and that XSUPRA GmbH may process it only insofar as necessary to perform the contract. The privacy policy adds that no data is sold to third parties, and the site promises export or deletion at any time. One reservation belongs in the same breath: clause 10.4 allows the publisher to create anonymised and aggregated data and to use it for statistics, product improvement and scientific publication, without asking again.
Reuse rights
Users may reuse their own field data freely, since they never transfer ownership of it. On termination, clause 6.4 provides that stored data is made available on request in a common format, where technically possible and reasonable, so the material can be carried to another system. What users may not touch is the software itself: clause 4.2 forbids copying, redistributing, renting, sublicensing and decompiling it, and clause 10.2 forbids using XSUPRA trade marks or logos without express consent. In the other direction, conversations are stored on the publisher's servers, pseudonymised before being sent to Azure or OpenAI for processing, and excluded from the training of external AI models, while anonymised and aggregated data does feed the publisher's own models.
Data retention & training
Hosting summary
Hosting is European by declaration. The site states that everything runs on servers inside the European Union, fully compliant with the GDPR, and repeats that farm data stays in the EU and remains the customer's. The terms add that the software is hosted on servers operated by XSUPRA or by contracted third parties. The privacy policy names those third parties: Microsoft Azure and Google Cloud for hosting and processing, Stripe for payments, GPT models via Azure or OpenAI for AI processing on pseudonymised data, and an unnamed third-party provider for audio production, which receives only aggregated, non-personal data. Where data does move to a third country such as the United States, the policy relies on standard contractual clauses and additional security measures. One component is deliberately kept in-house: the product analytics system is fully self-hosted in the publisher's own PostgreSQL database, with no transmission to external analytics vendors. No specific hosting country is named anywhere — only the EU region.
Things to keep in mind
Risks and trade-offs to weigh before adopting Alora.
- Deskilling by delegation: a young grower who lets Alora call every spray window and nitrogen rate may never build the field judgement that lets them notice when the model is wrong
- Misplaced confidence in a confident voice: the terms explicitly disclaim any warranty on the accuracy or completeness of the results, and one academic reference on the site is careful to say Alora accelerates analysis rather than decides
- Habit engineering: the daily audio briefing is described by the publisher itself as creating a ritual and compounding switching costs, which is a business goal before it is a user benefit
- Lock-in through memory: the accumulated profile is presented as irreplaceable, so leaving after a year means starting from zero elsewhere even though the raw data is exportable
- Anonymised training without an opt-out: field and conversation data feeds the publisher's own models in aggregate form, and no mechanism is documented to decline
- Language asymmetry in the contract: a non-German speaker agrees to terms and a privacy policy they cannot read in their own language, even though the product speaks fifteen
- Cost creep with area: the headline EUR 50 covers 100 hectares, and per-hectare billing beyond that can move the real figure a long way from the advertised one
Setup & Integrations
Technical difficulty
Low. Create an account, draw your field boundaries on the map or import them from your existing agricultural software, and wait about twenty-four hours for the first maps and briefing. The publisher states that no technical knowledge is needed and no special hardware is required beyond an internet connection and a modern browser or the mobile app; onboarding support is offered. Soil analysis results are optional to start, though they improve accuracy. The only real prerequisites are having your parcel boundaries to hand and, for the assistant itself, a Pro subscription.
Deployment
Apps stores
Integrations
Supported languages
Behind Alora
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
What exactly is Alora?
Is Alora included in the free plan?
Do I need technical skills to use it?
Can Alora recognise a disease from a photograph?
Are my conversations used to train AI models?
Where is my farm data hosted?
Is there a mobile app?
Can I cancel at any time?
Does Alora offer an API?
Should you pick Alora?
Alora is one of the more convincing vertical AI assistants precisely because the conversation is the smallest part of it. What gives the answers their weight is the stack underneath: modelled soil maps, a risk engine screening more than 1,200 factors per field and zone each day, and a persistent memory that keeps the grower's priorities and corrections from one season to the next. Ask about a patchy wheat field and the reply is computed from that parcel's satellite imagery, soil moisture and local forecast, not from a general corpus. The four input modes matter too: voice for the tractor, a photograph for a symptom, dictation for the paperwork nobody wants to do twice.
The reservations are real and worth weighing. Alora is a paid module, not a free feature — the platform's free tier excludes it, even though the assistant's own page advertises getting started free, a contradiction the site never resolves. The advertised free demo did not respond when checked. Both the terms and the privacy policy exist only in German while the marketing site is translated into seventeen locales, awkward for a product sold across the EU. The regulatory layer is built around German rules, so growers elsewhere get less of it. And while conversations are kept out of external model training, the publisher does train its own models on anonymised, aggregated data with no documented way to opt out.
On balance the data posture is good: ownership stays with the customer, hosting is in the EU, nothing is sold on, and export or deletion is promised at any time. The entry price is legible — EUR 50 per month excluding VAT for 100 hectares — but grows with area at EUR 0.30 per hectare per month, so the real cost depends on the farm.
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