Monte Carlo has launched Agent Observability capabilities providing unified visibility across AI agent lifecycles. The platform monitors four critical pillars: context, performance, behaviour and outputs, addressing a significant gap in enterprise AI deployment. A Monte Carlo survey reveals 73% of enterprises require monitoring and alerting before deploying AI agents, yet 63.4% cite lack of observability as a top deployment barrier. Additionally, 53% of enterprises expect to significantly rebuild or redesign already-deployed AI agent systems. The platform enables teams to detect hallucinations, diagnose performance issues and validate workflow execution. Axios is using Monte Carlo to ensure accuracy in its AI-powered content tagging system, initially built with OpenAI, with plans to expand across 12 additional large language model applications.

G2 recognizes Monte Carlo in 2026 Best Software Awards. The company's data and AI observability platform leverages automation capabilities to efficiently combat data downtime and help enterprises ensure reliability and performance across their systems. Published on Feb. 23, 2026 Rose Velazquez | Feb 23, 2026 Monte Carlo was recently featured in G2's Best Software Awards for 2026, with recognition among the top 50 products for IT infrastructure and IT management. The data and AI observability company earned its placement based on verified user reviews and ratings. The annual ranking identifies top-tier software companies across various categories, emphasizing user satisfaction and product impact. The company's platform is designed to help organizations maintain the health and quality of their data and AI systems. By using machine learning to monitor data pipelines, the technology identifies and alerts teams to data downtime, which refers to periods when data is missing, inaccurate or otherwise broken. This automated approach allows engineers to resolve issues before they affect business operations or decision-making processes. According to Monte Carlo, recent G2 reviews highlight its product's proactive issue detection, time and resource savings for engineering teams, straightforward implementation and immediate value. "We love seeing proof of our mission out in the wild everyday, and are confident that Monte Carlo is helping engineers and data leaders reduce risk, save time and trust their data more than ever before," the company's announcement stated. This article was drafted by a generative AI tool, using information from press releases and company blogs provided by our staff. All content was reviewed by a Built In editor and went through a fact-checking process to ensure accuracy. Errors can be reported to our team at [email protected].