
Klarytee
Document security for the modern workplace.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
* | £700k | Seed | |
Total Funding | 000k |
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Klarytee, a London-based cybersecurity firm established in 2021, operates on a data-centric security model designed to protect sensitive information in the modern, distributed workplace. The company was founded by Dr. Nithin Thomas, a serial entrepreneur with over a decade of experience in the security industry. Dr. Thomas's vision for Klarytee was born from the conviction that traditional, perimeter-based security hampers productivity by restricting data flow; instead, he advocates for embedding controls directly into the data itself.
Klarytee provides a Software-as-a-Service (SaaS) platform that builds encryption and access control directly into data fragments in real-time. This core function ensures that security policies travel with the data, maintaining protection and organizational visibility regardless of where the information is shared—across different SaaS applications, public cloud services, generative AI platforms, or messaging apps. The business model targets large organizations, such as those in investment banking and financial services, that handle highly sensitive information and need to facilitate secure collaboration. Revenue is generated through this enterprise-grade security platform, which is available via API integration and a direct add-in for Microsoft Word.
The platform's key feature is its ability to apply persistent, granular control over data. It uses a local large language model (LLM) to automatically scan for and identify sensitive content, applying protection by default. This allows for policy-based encryption using rules based on role, location, and time. For example, through its Microsoft Word integration, an authenticated user can decrypt data which then exists only in the device's memory and is erased when the application is closed. This protects data from unauthorized access, even when using cloud-based AI tools. The company has secured £700,000 in a pre-seed funding round led by Concept Ventures, with participation from notable angel investors including the former CISO of Twitter, Michael Coates.
Keywords: data-centric security, encryption software, access control, SaaS security, sensitive data protection, secure collaboration, cloud data security, generative AI security, information protection, compliance, cybersecurity, data discovery, endpoint security, zero trust, API security, Microsoft integration, policy enforcement, data loss prevention, financial services security, enterprise security