The startup develops source code documentation software that utilizes artificial intelligence and deep learning models to automatically generate docstrings and analyze uploaded source code. This platform enables clients to efficiently maintain accurate documentation for their backend systems, addressing the challenge of keeping documentation up-to-date and relevant.
Funding
$920K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face significant risks when deploying Large Language Models (LLMs) due to potential data leaks, compliance violations, and unauthorized access to sensitive information. Securing access to state-of-the-art models requires complex configurations, legal agreements, and ongoing monitoring, creating a barrier to adoption.
Solution
Trelent provides a secure AI chat platform that enables enterprises to leverage leading LLMs without compromising data security or compliance. The platform negotiates Zero Data Retention (ZDR) agreements with AI providers and employs Hold Your Own Key (HYOK) encryption, ensuring that customer data remains private and under their control. Trelent acts as a drop-in replacement for standard AI chat interfaces, offering a familiar user experience while mitigating the risks associated with sensitive data exposure. The platform also supports model plurality, providing access to multiple LLM providers to prevent vendor lock-in and ensure continuous availability.
Target Audience
Trelent targets secure organizations and enterprises that require a hardened AI chat solution to protect sensitive data while leveraging the capabilities of state-of-the-art LLMs.
Features
- Zero Data Retention (ZDR) agreements with leading LLM providers like Azure OpenAI and Anthropic, preventing storage of input and output data.
- Hold Your Own Key (HYOK) encryption, giving customers complete control over their data by managing the encryption keys.
- Drop-in replacement for standard AI chat interfaces, minimizing disruption to existing workflows.
- Model plurality, offering access to multiple LLM providers to ensure redundancy and prevent vendor lock-in.
- Enterprise access controls, enabling the creation of workspaces and groups with shared LLM context and chats.
- Data integration capabilities, allowing secure connection to data sources like Google Drive, Office 365, and Box.