Empower LLM Pipeline

Streamline your AI model lifecycle from data to deployment with our private LLM platform.

Model Tracker

Our model tracker service is designed to streamline model governance by managing model versioning and unifying the complexities of the model development pipeline. This pipeline often involves multiple stages, tools, stakeholders, approvers, documentation, and communication. Our system consolidates all these data points into a single unified platform, providing comprehensive visibility into each model's lifecycle. This centralized tracking system allows developers, product managers, and even customers to easily access and understand the status and history of each model. By maintaining detailed records, our solution helps identify and pinpoint the latest status of every model, enabling efficient governance, improved collaboration, and faster decision-making.

Risk and Vulnerability Manager

We offer a dedicated Risk and Vulnerability Management Service on our website to help organizations address the security challenges associated with AI modeling and pipelines. Our security team continuously monitors for risks and vulnerabilities in models, Python packages, and dependencies, leveraging both open-source and SaaS solutions to identify potential threats. Key risk categories we focus on include data breaches during model training, model poisoning attacks, dependency vulnerabilities in Python libraries, insecure API endpoints, and misconfigurations in infrastructure. Understanding that one of the primary concerns for our customers is the security of their data during model training, we provide in-depth analysis and actionable insights to mitigate these risks. This service empowers customers to understand vulnerabilities within their AI pipelines and take proactive measures to protect their data, ensuring a secure and trustworthy AI development and deployment process.