Professional Indemnity for Machine Learning Engineers (MLE)
Machine learning engineers develop, train, and optimize data-driven models that are used in business-critical processes—from forecasts and automation to decision-making and recommendation systems. However, errors in models, data, or training processes can cause significant economic, legal, or organizational damage.
Exali Professional Indemnity Insurance protects machine learning engineers from the financial consequences of such claims – ensuring that innovation and responsibility remain in balance.
Optimal Protection with Professional Indemnity Insurance for Machine Learning Engineers (MLE)
- Incorrect forecasts or faulty ML models: Covered
- Data or training error? We clarify liability claims
- Immediate insurance coverage through online enrollment
- Defense against unjustified claims for damages
- Liability claims covered by automated AI decisions
- Personal support from our team of experts
- Worldwide insurance coverage (ideal for international projects)
- Reliable support in the event of damage
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Indemnity Insurance Seal for your Principals
- Individual and comprehensive insurance protection
- High coverage sums for financial losses
- No-claims evidence going back five years
Why Machine Learning Engineers need Professional Indemnity Insurance
As an MLE, you work on systems whose results directly influence business decisions. Inaccurate models, distorted training data, or faulty implementations can lead to wrong decisions, lost revenue, or damage to reputation.
Even though there is no legal obligation for machine learning engineers to have Professional Indemnity Insurance, it is strongly recommended. Professional Indemnity Insurance from exali protects you from financial risks and covers the defense against unjustified claims (passive legal protection).
exali Professional Indemnity Insurance is designed for data and AI-based activities and covers typical risks associated with working with ML systems:
- Financial losses
If the client suffers financial losses due to faulty models, incorrect training data, or insufficient validation, the insurance will cover the costs. - Personal injury and property damage
Damage to persons or third-party property arising in connection with your activities (e.g., during workshops, presentations, or on-site tests) is also covered. - Passive legal protection
exali Professional Indemnity Insurance reviews claims for damages against you and defends you against unjustified claims—including legal and court costs. - Flexible extensions
Whether you are a freelancer, consultant, start-up, or part of a development team, the insurance coverage can be flexibly adapted to your activities.
- Cyber- und IT-Risiken
Schutz vor Haftungsansprüchen durch technische Fehler, Schnittstellenprobleme oder Systemausfälle in Verbindung mit KI-Systemen.
Protect your ML work—calculate your exali Professional Indemnity Insurance for Machine Learning Engineers online now and take out a Policy in just a few Minutes!
Testimonials for exali.com
„There are not many companies that you can trust without hesitation. Exali is different. Even before signing the contract and afterwards, there is complete transparency and the agreement is tailored to individual needs until you are satisfied. This is crucial, especially if you work in legally sensitive areas.
Since becoming a customer, I have been recommending Exali to my friends and acquaintances with complete conviction, not least because of the excellent advice provided by Ms. Sandra Löhning and the uncomplicated claims settlement process."
- Financial loss
A forecasting model for sales planning delivers highly distorted results due to incorrect training data. The company produces large quantities of incorrect goods and suffers considerable financial losses. The machine learning engineer is held responsible for the faulty model.
These typical damage scenarios can spell disaster for you as a prompt engineer:
- Personal injury
A machine learning engineer conducts a workshop on model implementation at the customer's site. During the presentation, a cable is laid incorrectly. An employee of the customer trips over it and injures himself. The MLE is held liable for breach of duty of care. - Property damage
A machine learning engineer visits a customer's premises to discuss an ML project and carry out initial tests on the customer's laptop. While connecting his own device, he accidentally knocks over a cup of coffee. The liquid spills over the customer's notebook, causing irreparable damage. The customer demands compensation for the damaged device.
"Professional Indemnity Insurance for Machine Learning Engineers (MLEs) protects against typical risks
such as faulty training data and financial losses, making it an important insurance policy
that you should not do without."