HydroX AI provides an end‑to‑end platform that evaluates and monitors generative AI outputs in real time, detecting privacy leaks, harmful content, and prompt‑injection attacks. It offers customizable risk‑assessment templates and automated mitigation workflows to help regulated enterprises maintain secure, compliant AI deployments and generate audit‑ready reports.
Funding
$4M 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.
1OVCFounders
Product
Problem
Enterprises deploying generative AI models face increasing risks of unsafe outputs, privacy breaches, and non‑compliance with emerging AI regulations. Without continuous oversight, models can leak sensitive data, generate harmful content, or be exploited through prompt‑injection attacks, leading to legal and reputational damage.
Solution
HydroX AI offers an end‑to‑end platform that evaluates AI safety, monitors live model outputs, and provides customizable risk assessments aligned with industry‑specific regulatory requirements. The system continuously scans responses from large language models and retrieval‑augmented generation pipelines, detecting privacy violations, disallowed content, and integrity threats in real time. Detected issues trigger alerts and automated mitigation actions, enabling organizations to maintain safe and compliant AI deployments without sacrificing performance. HydroX’s assessment framework can be tailored to different domains, allowing enterprises to define bespoke safety policies and generate audit‑ready reports for regulators. Partnerships with leading AI providers enhance the platform’s coverage of emerging threat vectors and best‑practice safety controls.
Target Audience
Primary customers are large enterprises and regulated organizations that deploy generative AI models in production, including sectors such as finance, healthcare, and technology.
Features
- Real‑time monitoring of generative AI outputs with low latency to preserve application performance
- Integrated AI safety evaluation engine that detects privacy leaks, harmful content, and prompt‑injection exploits
- Customizable risk assessment templates configurable by industry, use case, and regulatory framework
- Automated alerting and mitigation workflows that can block or modify unsafe responses on the fly
- Audit‑ready reporting and compliance dashboards that document safety incidents and remediation actions
- API and SDK integrations for seamless embedding into existing model serving pipelines and RAG architectures
- Ongoing updates through strategic partnerships with leading AI organizations to address new threat vectors