Lakera

Lakera

Works with any AI model or modality and instantly provides enterprise-grade security for AI applications. Learn more
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DateInvestorsAmountRound
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N/A

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$10.0m

Early VC
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$20.0m

Series A
Total Funding$30.0m

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Lakera AI is a Zurich-based startup that provides advanced AI threat intelligence to organizations. Their primary product, Lakera Guard, is designed to protect GenAI applications from various risks such as prompt injections, data loss, harmful content, and other threats associated with large language models (LLM). This is achieved through a proprietary database that combines insights from LLM applications, Gandalf, open-source data, and dedicated machine learning research.

The company serves a broad range of clients, from small businesses to large enterprises, who are looking to deploy AI applications securely and at scale. Lakera operates in the rapidly growing AI security market, providing solutions that are accessible through their API. This means clients can integrate Lakera's services into their existing systems with just one line of code, saving them time and resources.

Lakera's business model is based on offering enterprise-grade protection for AI deployments. They make money by charging clients for their services, which can be deployed on the cloud or on-premises. The company also offers a free trial, allowing potential customers to test the service before committing to a paid plan.

Lakera's threat intelligence database, which contains tens of millions of attack data points and grows by over 100,000 entries daily, is a key selling point. This means that with Lakera Guard, a client's defense continuously strengthens over time.

In summary, Lakera AI is a promising startup providing essential security services in the AI space. They offer a solution that not only protects AI applications from various threats but also empowers organizations to deploy these applications confidently and at scale.

Keywords: AI Security, Threat Intelligence, Large Language Models, GenAI Applications, Enterprise Protection, Cloud Deployment, On-Premises Deployment, Proprietary Database, Machine Learning, API Integration.

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