Neysa is an AI acceleration platform that provides a cloud-based system for deploying, training, and managing AI models, enabling businesses to build and scale AI-native applications efficiently. Its solutions include real-time network monitoring and AI environment protection, addressing the challenges of security and operational efficiency in AI implementation.
Funding
$49.5M 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 challenges in efficiently deploying, training, and managing AI models at scale, often struggling with security vulnerabilities, operational inefficiencies, and the complexities of integrating diverse AI tools and frameworks. Traditional AI infrastructure can be costly, difficult to manage, and lack the flexibility needed to support rapidly evolving AI applications.
Solution
Neysa provides an AI acceleration platform designed to streamline the entire AI lifecycle, from development to deployment and management. The platform offers a cloud-based system with integrated MLOps and GPU resources, enabling businesses to build and scale AI-native applications with greater speed and efficiency. Neysa's solutions include real-time network monitoring and AI environment protection, addressing critical security concerns and operational challenges associated with AI implementation. By offering a flexible, scalable, and open-source environment, Neysa empowers enterprises to leverage AI more effectively and cost-efficiently.
Target Audience
Neysa targets enterprises seeking to build and scale AI applications, including data scientists, machine learning engineers, and IT professionals responsible for AI infrastructure and security.
Features
- MLOps & GPU Cloud for out-of-the-box deployment, training, and inference of GenAI and AI models.
- Autonomous Network Monitoring: Intelligent real-time monitoring and alerts with AI-driven interpretation and insights.
- AI Environment Protection: Defense against malicious threats and mitigation of AI-specific attacks on models and data.
- Flexible deployment options: On-demand, Reserved, and Private Cloud models.
- Engineered for AI-native applications: Designed for enterprises to use AI extensively, frequently, easily, and cost-effectively.
- Granular control and visibility: Complete control over deployments at every step.
- Open-source: Freedom to leverage best-of-breed technologies.
- Pre-built frameworks & tools: Low-code/no-code tooling and pre-built resources to accelerate development.