Cisco announced its intent to acquire Galileo Technologies, Inc., a startup focused on AI observability and evaluation, as enterprises accelerate deployment of agentic AI systems across production environments. The move targets a critical gap in AI infrastructure—ensuring model outputs are accurate, safe, and aligned with enterprise requirements in real time.
Galileo’s platform provides end-to-end visibility across the AI agent development lifecycle, enabling teams to evaluate model quality, detect hallucinations and bias, and monitor behavior in production. Unlike traditional observability tools that focus on latency and system errors, Galileo introduces semantic-level monitoring, allowing organizations to measure correctness, safety, and relevance of AI-generated outputs. This capability becomes increasingly important as enterprises deploy multi-agent systems that combine large language models, tools, and workflows in dynamic, non-deterministic environments.
Cisco plans to integrate Galileo’s technology into its Splunk Observability portfolio, extending visibility from infrastructure and applications into AI system behavior. The combination aims to give enterprises a unified platform for monitoring and governing AI agents, correlating system-level metrics with AI-specific performance indicators such as output quality, risk exposure, and cost efficiency. The acquisition is expected to close in the fourth quarter of Cisco’s fiscal year 2026, with both companies operating independently until completion.
• Targets AI observability, evaluation, and guardrails for enterprise AI deployments
• Extends Splunk Observability Cloud into AI model and agent monitoring
• Addresses hallucination detection, bias evaluation, and semantic correctness
• Supports full AI agent development lifecycle (data, model, evaluation, production)
• Aligns with growing enterprise demand for AI governance and trust frameworks
• Expected close: Q4 FY2026
“Galileo was purpose-built to solve one of the hardest and most consequential problems in AI: trust. Its platform enables teams to evaluate AI quality, detect failures before they reach users, and continuously improve AI behavior in production,” said Cisco in its announcement.
🌐 Analysis: Cisco’s move reflects a broader industry shift toward AI governance as a core infrastructure requirement, extending observability beyond systems into model behavior and decision quality. The integration with Splunk positions Cisco alongside emerging competitors such as Microsoft, Datadog, and specialized AI observability vendors, all racing to define the control plane for enterprise AI systems.
Founded in 2021 and headquartered in San Francisco, Galileo Technologies, Inc. was established by Vikram Chatterji and Pratik Verma, both of whom bring deep experience in machine learning infrastructure and enterprise AI systems. Verma previously led AI and data initiatives at companies including Uber and CleverTap, while Chatterji held product and engineering roles focused on data platforms and AI-driven applications. The company has raised approximately $68 million in venture funding from investors including Battery Ventures, Scale Venture Partners, and Databricks Ventures. Key milestones include the launch of its evaluation and monitoring platform for large language models, expansion into real-time observability for agentic AI systems, and growing adoption among enterprises seeking to operationalize AI with measurable quality, safety, and governance controls.
