Qualifire provides an AI control plane offering continuous evaluation, real-time guardrails, and pre-production testing for LLM applications like agents, RAG, and chatbots. The platform uses specialized small language models (SLMs) to enforce policies and monitor AI behavior for enhanced reliability. This enables users to detect and block unwanted AI actions while providing observability through OTEL tracing.
Funding
$2M 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.
AVFounders
Product
Problem
Large language models (LLMs) can generate inaccurate, inconsistent, or inappropriate content, leading to compliance violations, reputational damage, and legal risks for businesses deploying AI applications. Existing methods for detecting these issues often require manual rule-setting and lack the adaptability to address evolving AI outputs.
Solution
Qualifire provides a real-time AI reliability platform that automatically trains custom detection models to identify and prevent inaccuracies, hallucinations, policy breaches, and other undesirable outputs from LLMs. The platform acts as an AI gatekeeper, enforcing compliance and ensuring consistency across various applications. By continuously monitoring AI-generated content and adapting to specific use cases, Qualifire helps businesses reduce legal risk, safeguard their brand reputation, and maintain quality standards. The platform offers customizable detection models, real-time monitoring, and options to block, retry, or fix problematic content.
Target Audience
The primary target audience includes enterprises and startups deploying LLMs in production environments, particularly those in regulated industries or those concerned with brand safety and compliance.
Features
- Automated training of custom detection models tailored to specific use cases and policies
- Real-time monitoring of AI-generated outputs with millisecond latency
- Customizable actions for handling flagged content, including blocking, retrying, or using safe defaults
- Comprehensive dashboard for tracking, monitoring, and analyzing AI performance
- Pre-built expert templates for common compliance and quality standards
- TypeScript SDK for integrating the platform into existing applications
- Option for on-premise deployment within a customer's VPC
- SOC2 Type II compliance