Whitecircle offers an API‑driven control layer for enterprise generative AI deployments, continuously monitoring interactions to block unsafe inputs and outputs, detect hallucinations, data leaks, and policy violations, and enforce custom low‑latency guardrails. The platform provides real‑time analytics, risk scoring, user behavior clustering, and performance optimization tools such as model routing and prompt engineering, all while meeting SOC 2 Type II and HIPAA compliance requirements.
Funding
$11M 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.
DCDKFOGLMGOP+4Founders
Product
Problem
Enterprises deploying generative AI face hidden risks such as unsafe inputs, hallucinations, data leaks, and policy violations, which can lead to security breaches, compliance failures, and degraded user experience. Detecting and mitigating these issues across large volumes of API calls is complex and time‑consuming, especially when multiple models and languages are used.
Solution
Whitecircle provides an API‑driven control layer that continuously monitors and protects AI interactions. The platform automatically red‑teams AI outputs to uncover failures, enforces custom low‑latency guardrails to block unsafe inputs and outputs, and supplies analytics for user behavior, risk scoring, and performance optimization. Integrated policies cover PII detection, jailbreak prevention, hallucination detection, and tool‑abuse prevention, while offering model routing, prompt engineering, and context management to improve response quality. Results are delivered in real time via a unified API that supports over 150 languages and can be deployed on‑premises for enterprise compliance.
Target Audience
Primary customers are enterprises and SaaS providers that integrate generative AI models into customer‑facing applications and need comprehensive safety, security, and compliance controls.
Features
- Automated red‑team testing that identifies safety and security failures across AI models
- Customizable guardrails for input protection (PII detection, jailbreak prevention) and output protection (hallucination detection, data leak prevention)
- Real‑time risk scoring and error‑rate analytics with user behavior clustering and custom metrics
- Model routing and prompt engineering tools to optimize performance and cost
- Context enrichment and management to maintain conversation continuity
- Enterprise‑grade security with SOC 2 Type II and HIPAA compliance, on‑premises deployment, and fine‑grained access controls