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Manufacturing · Observability Monitoring

Xibyl

Xibyl is an Italian predictive diagnostics system for rotating industrial machinery. Sensors or existing PLCs feed an edge computer, and a web interface shows machine health, operational drift and estimated remaining life without requiring any historical data.

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Overview

What is Xibyl?

Xibyl is the predictive diagnostics system built by Symptomation s.r.l., an Italian company that describes itself as an innovative startup born from the meeting of mathematical and software expertise. The product targets rotating industrial machinery and aims to move maintenance from a reactive discipline to a planned one.

Technically it is an integrated hardware and software solution assembled from three blocks. The first is measurement: either dedicated sensors chosen for the application — vibration, temperature, current and others — installed non-invasively on critical mechanical components, or a direct connection to the PLCs already present on the plant, reading the signals the machine itself generates. The second is a collection cabinet holding industrial interfaces for several data sources and a high-performance edge computer that carries out the initial processing locally. The third is the Xibyl software, a web platform through which everything is consulted. The predictive algorithms can run locally on that edge computer, on a company server or in the cloud, which the vendor presents as a way of operating on sites with limited connectivity.

The web interface works on two levels. A general view shows the health of every monitored sensor and machine through green, amber and red codes, so that an operator without advanced technical training can see at a glance what needs attention. An advanced view opens the analysis: charts of operational drift showing how far the system has moved from its standard behaviour, failure forecasts estimating when a breakdown could occur, probable causes drawn from recurring behavioural patterns, and timelines with plain labels.

The differentiator Symptomation emphasises most is that no historical data is required. A continual-learning algorithm starts learning from the machine's real conditions as soon as it is connected, then refines its predictions over time. The algorithms are proprietary and can be selected or customised per machine type.

Three documented cases cover pitting in gearboxes, cavitation in pumps and growing mechanical play in connecting-rod systems; in two of them the remaining-life forecast was validated by a bench test run to complete failure. The customers are not named. The product is sold as a turnkey engagement of roughly thirty days covering sensor selection, mechanical and electrical design, supply, installation, commissioning and training, with continuing support afterwards.

What it does

  • Monitor the health of machines and sensors in real time through colour-coded indicators
  • Detect the weak signals that precede a mechanical failure
  • Estimate the remaining useful life of a component and when it is likely to fail
  • Identify the probable causes of an anomaly from recurring behavioural patterns
  • Plan maintenance interventions and cut unplanned downtime
  • Consult plant data remotely from a browser, on a desktop or a tablet
  • Produce downloadable reports and track plant performance KPIs
Audience

When to use Xibyl / When not to

A quick filter to help you decide if Xibyl is the right fit.

When to use Xibyl

  • Maintenance and reliability teams running critical rotating equipment such as gearboxes, pumps and connecting-rod systems
  • Plants with no historical machine data, since the continual-learning algorithm starts from the equipment's real conditions
  • Operations managers who want to schedule downtime rather than absorb unplanned failures
  • Industrial sites in wind power, gas and hydraulic turbines, water distribution, petrochemicals, packaging and automated logistics
  • Italian manufacturers comfortable with a turnkey engagement including on-site hardware and roughly thirty days of setup

When not to use Xibyl

  • Buyers who need self-service software: there is no sign-up, no trial and no published price, only a contact form
  • Teams looking for a software-only deployment, since sensors or a PLC connection and an on-site edge cabinet are required
  • Developers expecting an API, an SDK or a mobile app, as the product is delivered solely as a web interface
  • Anyone outside Italian-speaking teams, because the site and its surrounding material exist in Italian only
  • Organisations that must review privacy terms, a data processing agreement or contractual conditions before a pilot, none of which are published
Get started

How to use Xibyl

A typical end-to-end flow, from setup to results.

  1. Get in touch through the contact form or request a no-commitment call, as there is no online sign-up
  2. Have the site, the machines and the application analysed to determine which sensors are needed
  3. Agree the mechanical and electrical design for installing the sensors and the collection cabinet
  4. Take delivery of the complete solution: sensors or PLC connection, industrial interfaces and edge computer
  5. Have the hardware and software installed and commissioned on the plant, with minimal involvement from your team
  6. Choose where the predictive algorithms run: locally on the edge computer, on a company server or in the cloud
  7. Attend the initial training delivered by the vendor
  8. Use the general dashboard to watch the colour-coded health of every monitored machine and sensor
  9. Open the advanced view when an indicator turns amber or red, to read operational drift, failure forecasts and probable causes
  10. Download reports, follow performance KPIs and call on continuing support for analysis or future extensions
Quick read

Pros & Cons

Pros

  • Requires no historical data, so it can start on machinery that has never been instrumented
  • Covers the whole chain from sensor to analysis, with a single party responsible
  • Processing can stay local on the edge computer, which suits sites with poor connectivity
  • Turnkey engagement including mechanical and electrical design, installation and initial training
  • Remaining-life forecasts validated by bench tests run to complete failure in two documented cases
  • Interface designed to be readable by non-specialists, with colour codes and plain labels
  • Full and verifiable legal identity published on every page, including company number and two offices

Cons

  • No published price and no pricing page, so no budget can be estimated before contacting the company
  • No privacy policy, no terms and conditions and no legal notice anywhere on the site
  • The only quasi-legal page is an empty shell whose content comes from a third-party cookie script
  • The contact form collects personal details with no consent step and no information link
  • No API, no technical documentation and no mobile application: a web interface only
  • Italian-only site with no English version, and an incorrect lang="en" attribute on every page
  • Site visibly unmaintained: copyright frozen at 2024, a truncated sentence on the homepage, several typographical errors and a sitemap that is both incomplete and misspelt
Pricing

Pricing & Plans

No price is published. Symptomation operates on a quote basis: the site has no pricing page, none appears in its sitemap, and the candidate addresses return errors. The only euro figure anywhere on the site is the €10,000 share capital shown in the footer, which is a company registration detail and not a tariff. Neither a permanent free plan nor a free trial is announced. Because the solution combines sensors or a PLC connection, an on-site edge cabinet and roughly thirty days of engineering, installation and training, the commercial terms are established case by case after contact through the form or an introductory call.

Prices and plans listed above may evolve. Always check the official pricing page before subscribing.
Trust & Privacy

Data, GDPR & hosting

A consolidated view of how Xibyl handles your data.

GDPR overview

There is no mention of the GDPR anywhere on the site. Across the twelve pages collected, the terms GDPR, privacy, informativa, trattamento dei dati, titolare del trattamento and consenso do not appear once. No privacy policy, no terms and conditions and no legal notice are published, and the only quasi-legal page carries an empty body filled by a third-party Cookiebot script whose generic declaration points to a privacy notice that does not exist. The contact form nevertheless collects a name, a company, an email address and a telephone number, with no consent checkbox and no information link, while Cookiebot and Google Tag Manager are loaded. Symptomation is established in Italy, so the regulation applies to it: the absence of any published documentation is a transparency gap a buyer should raise directly.

Who owns the data?

Symptomation publishes no terms and conditions, no privacy policy and no legal notice, so the question of who owns the data collected by Xibyl is left entirely unanswered. The only quasi-legal page on the site is a cookie policy whose body is empty and filled at runtime by a third-party Cookiebot script; that generic declaration refers to a privacy notice that does not exist. Nothing states whether sensor readings, the learned machine models or the resulting forecasts belong to the customer or to the vendor, nor what the vendor may do with them, nor with whom they may be shared. These terms must be obtained in writing from the company before any pilot.

Reuse rights

Because no terms and conditions exist, the site says nothing about whether a customer may reuse the data or the outputs produced by Xibyl, or on what conditions. There is no licence grant, no restriction and no permission clause of any kind to read. The interface is described as providing downloadable reports and KPI monitoring, which implies that measurements and analyses can be exported, but no right is ever attached to that export. Any reuse of the collected signals, of the failure forecasts or of the reports should therefore be negotiated explicitly and written into the supply contract.

Data retention & training

Retention summary
No retention rule is published. The site has no privacy policy and no terms and conditions, so there is nothing stating how long sensor measurements, learned models, forecasts or reports are kept, whether they are ever anonymised, or how a customer would request deletion. The cookie declaration served by the third-party provider covers browser cookies on the marketing site only and says nothing about industrial data. Retention periods and deletion procedures therefore have to be requested from the company and recorded in the contract.

Hosting summary

No hosting country and no hosting region are named anywhere on the site. The only architectural statement is that the predictive algorithms can run locally on the edge computer, on a company server or in the cloud — a deployment topology, not a data location — and the cloud provider is never identified. In practice this means the customer may be able to keep processing entirely on its own premises, which would make the question of jurisdiction moot, but the site never confirms that choice is contractually available or how a cloud deployment would be handled. Nothing is said about where models, historical signals or reports would be stored, nor under which jurisdiction. The public website itself is served from an Italian address, but that describes the brochure site and says nothing about where customer data would live. Prospective buyers should obtain the hosting arrangement, the provider identity and the applicable jurisdiction in writing.

Watch-outs

Things to keep in mind

Risks and trade-offs to weigh before adopting Xibyl.

  • No published contract, privacy policy or legal notice: nothing frames the supply or the handling of your industrial data before you sign
  • The contact form collects a name, a company, an email address and a phone number with no consent step and no information notice
  • No public price at all, so budget and scope only become visible after a commercial discussion
  • Data hosting is never located: the edge, company-server and cloud options describe a topology, not a jurisdiction or a provider
  • The sectors and machines listed on the site are the claimed field of application, not verifiable customer references, and the three case studies name no client
  • No certification, standard, patent or partnership is claimed anywhere, so nothing external corroborates the vendor's technical assertions
  • The trade register shows a single declared employee against seven people displayed on the site: check the real support capacity before depending on the system
Setup

Setup & Integrations

Technical difficulty

Setup effort for the customer is deliberately low, because Symptomation performs the work. The vendor handles sensor selection and positioning, mechanical and electrical design, supply, installation and commissioning of both hardware and software, plus initial training, over roughly thirty days, and states that only minimal involvement is asked of the client. Installation is presented as non-invasive and as requiring no dedicated infrastructure. The real cost is organisational rather than technical: this is physical work on production machinery, with electrical and PLC connections, so plant access, safety clearances and scheduling must be coordinated.

Deployment

Web app
Company

Behind Xibyl

Company name
Symptomation s.r.l.
Founded
INFORMATION_NOT_FOUND
Country of origin
🇮🇹 Italy
Headquarters
Via Broseta 35, 24122 Bergamo (BG), Italy
UBO
INFORMATION_NOT_FOUND
UBO country
INFORMATION_NOT_FOUND
Domain registrar country
🇮🇹 Italy

Social

Official links

Resources

All the official URLs gathered for verification and reference.

FAQ

Frequently asked questions

What does Xibyl actually do?
It provides predictive diagnostics for rotating industrial machinery. It detects when a machine drifts away from its normal operating parameters, estimates the remaining useful life of the component and suggests probable causes, so that maintenance can be planned instead of improvised.
Do I need historical machine data to get started?
No. This is the point Symptomation emphasises most. A continual-learning algorithm begins learning from the machine's real conditions as soon as it is connected, and refines its predictions over time, so a plant that has never instrumented its equipment can still start.
What hardware is required?
Either dedicated sensors chosen for the application — vibration, temperature, current and others — or a connection to the PLCs already installed on the plant. Both feed a collection cabinet containing industrial interfaces and a high-performance edge computer that processes the signals locally.
Where do the predictive algorithms run?
The vendor states they can run locally on the edge computer, on a company server or in the cloud. This is presented as a way of operating on sites with limited connectivity. No hosting country or cloud provider is named anywhere on the site.
Which machines and failure modes are covered?
Three cases are documented: pitting in gearboxes, cavitation in pumps, and increasing mechanical play in connecting-rod systems. More broadly the vendor claims coverage of systems with mechanical movement driven by electric or combustion motors, as well as hydraulic and pneumatic installations.
How long does deployment take?
Around thirty days. The stated process covers sensor selection and positioning, mechanical and electrical design, supply of the complete solution, then installation and commissioning of both hardware and software, followed by initial training.
How much does it cost?
No price is public. There is no pricing page and no published tariff of any kind, and the solution is sold on a quote basis through the contact form or an introductory call. The only euro figure on the site is the company's share capital, which is not a price.
Is there an API or a mobile app?
No. The site never mentions an API, an SDK or any integration protocol, and there is no API documentation. The product is consulted through a web interface accessible from a browser on a desktop or tablet, including remotely.
What language is the product available in?
The site is written entirely in Italian and offers no English version or any other locale, despite an erroneous lang="en" attribute in its HTML. The languages of the software interface itself are never stated.
Does the site publish a privacy policy or terms of use?
No. There is no privacy policy, no terms and conditions and no legal notice. The only quasi-legal page is a cookie policy whose body is empty and filled by a third-party Cookiebot script, and its generic text points to a privacy notice that does not exist.
Conclusion

Should you pick Xibyl?

Xibyl is a coherent and unusually well-explained industrial product. Symptomation sets out its architecture block by block, names the failure modes it addresses — gearbox pitting, pump cavitation, mechanical play in connecting-rod systems — and describes the method it follows on site rather than hiding behind generic claims about artificial intelligence. Its strongest argument is genuinely differentiating: because the algorithm learns from the machine's real conditions as soon as it is connected, a plant that has never instrumented its equipment can start without any data history. Running the models on an edge computer also keeps the approach usable where connectivity is poor.

The weakness is not the product but the transparency of the site around it. There is no pricing page, no terms and conditions, no privacy policy and no legal notice; the only quasi-legal page is an empty shell filled by a third-party cookie script, while the contact form collects personal details with no consent step. Nothing published allows a buyer to assess cost, contractual scope or data handling before speaking to the company. Add a site served entirely in Italian, a copyright frozen at 2024, a sitemap that is both incomplete and misspelt, and a number of typographical errors in the live text, and the impression is of a shop window that has not been maintained.

For an Italian industrial site with critical rotating equipment and no monitoring history, Xibyl deserves a conversation, and the turnkey format removes much of the integration burden. Elsewhere, the language barrier and the missing documentation make remote evaluation impractical. In every case the sensible sequence is the same: request the commercial terms, the contractual conditions and the data-handling rules in writing, and confirm the support capacity of a company that the trade register shows as very small.