Inspeq offers a governance platform that utilizes over 50 metrics and guardrails to evaluate and optimize the performance of generative AI applications, ensuring compliance with AI GRC standards. The platform addresses issues of reliability, safety, and bias in AI systems, significantly reducing development costs by 70% and improving model performance by 90%.
Funding
$1.2M 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.
GKPASVFounders
Product
Problem
Organizations face challenges in ensuring the reliability, safety, and ethical compliance of generative AI applications, leading to potential risks and increased development costs. Existing AI governance, risk management, and compliance (GRC) processes often lack the specific metrics and guardrails needed to effectively evaluate and optimize the performance of these complex systems. This can result in biased outputs, security vulnerabilities, and non-compliance with emerging AI regulations like the EU AI Act.
Solution
Inspeq AI offers a governance platform designed to evaluate and optimize the performance of generative AI applications, ensuring compliance with AI GRC standards. The platform employs over 50 metrics and guardrails, utilizing advanced NLP and AI/ML models to assess model capabilities and utility across various applications. Inspeq helps organizations identify and address issues throughout the LLM lifecycle, improving task proficiency, linguistic excellence, and security while mitigating bias and vulnerabilities. By providing comprehensive insights and actionable recommendations, Inspeq enables businesses to build more accurate, reliable, and trustworthy AI systems.
Target Audience
Inspeq AI targets organizations across various industries, including finance, healthcare, and technology, that are developing and deploying generative AI applications and need to ensure their reliability, safety, and compliance.
Features
- Comprehensive AI governance platform with over 50 metrics and guardrails
- Advanced NLP and AI/ML models for evaluating model capabilities
- Identification and remediation of issues throughout the LLM lifecycle
- Task proficiency assessment to improve AI effectiveness and efficiency
- Linguistic excellence analysis to enhance clarity and cultural appropriateness
- Bias detection and mitigation to ensure ethical compliance
- Security and vulnerability scanning to protect against malicious use
- Compliance tools to prepare AI systems for regulations like the EU AI Act