Inspeq AI is a Responsible AI Operations (RAIOps) platform founded in 2023 and headquartered in Dublin, Ireland. It is designed to help organizations identify and fix issues throughout the LLM application lifecycle, covering testing, evaluation, monitoring, and guardrailing. Its stated goal is to ensure AI reliability, safety, and regulatory compliance without requiring developers to use advanced LLMs to evaluate other LLMs, making it computationally lighter than comparable tools. The platform provides over 50 research-backed metrics spanning factual consistency, answer relevance, response tone, explainability, fairness, and toxicity. These metrics are categorized as either customizable or binary and are accessible via a Python SDK. Inspeq AI claims its deterministic metrics run on CPU rather than GPU, distinguishing it from evaluation approaches that rely on a second LLM as judge. Inspeq AI targets enterprises in regulated industries including insurance, consumer packaged goods, and telecoms, where AI compliance and auditability are critical. It offers cloud-agnostic and on-premise AWS deployment options, positioning itself for organizations with strict data residency or privacy requirements. In January 2025, the platform became available on Salesforce AppExchange, described as the first RAIOps platform to list there. The company raised a $1.1M seed round in May 2024 led by Sure Valley Ventures and Plug and Play Tech Center, with 13 additional investors. Tracxn ranked Inspeq AI first among 23 active competitors in the Responsible AI Software category as of 2025. The company is active and operational with a public documentation site at docs.inspeq.ai and a product page at inspeq.ai. Key features: - 50+ research-backed evaluation metrics (factual consistency, answer relevance, toxicity, fairness, explainability, response tone) - Intelligent guardrails with adaptive boundaries for safe and controlled LLM behavior - Real-time monitoring and anomaly detection for LLM applications in production - Deterministic, CPU-based metrics that do not require an LLM-as-judge - Cloud-agnostic and on-premise AWS deployment for data privacy compliance - Python SDK with customizable and binary metric categories - Audit-ready reporting and regulatory compliance checks - Available on Salesforce AppExchange (launched January 2025)
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