Galileo, a leading AI Evaluation Platform, has launched Agentic Evaluations, a revolutionary solution designed to evaluate the performance of AI agents powered by large language models (LLMs). This tool provides developers with the necessary insights to optimize agent performance, ensuring their readiness for real-world deployment.
- AI Agents’ Role in Modern Industries
- AI agents are autonomous systems that leverage LLM-driven planning to perform complex tasks, driving significant ROI in sectors such as customer service, education, and telecommunications.
- AI agents’ adoption is growing rapidly, with nearly 50% of companies already using them, while 33% are exploring solutions. Industry leaders like Twilio, ServiceTitan, and Chegg are leveraging agents for dynamic, multi-step interactions that deliver measurable value.
- Challenges in Evaluating AI Agents
- Evaluating AI agents introduces unique challenges that current tools can’t address, such as:
- Non-deterministic paths where agents may choose multiple action sequences.
- Increased failure points due to complex workflows that span multiple steps and parallel processes.
- Cost management where agents rely on multiple calls to different LLMs, balancing performance and cost efficiency is essential.
- Evaluating AI agents introduces unique challenges that current tools can’t address, such as:
- Galileo’s Agentic Evaluations Solution
- End-to-End Evaluation: Provides visibility across entire agent workflows, from input to final action, helping developers quickly identify inefficiencies and errors.
- Agent-Specific Metrics: Proprietary, research-backed metrics allow evaluation of agent performance at every step, from LLM planning to tool selection and overall session success.
- Granular Cost & Latency Tracking: Optimizes the cost-effectiveness of agents by tracking costs, latency, and errors throughout the process.
- Seamless Integrations: Works with popular AI frameworks like LangGraph and CrewAI, enabling easy integration into existing workflows.
- Proactive Insights: Features like dashboards and alerts help developers uncover issues and optimize agent behavior over time.
- Industry Adoption and Impact
- Vijoy Pandey, SVP/GP of Outshift at Cisco, emphasizes the importance of measuring agent behavior to ensure reliability and speed up production deployment.
- Surojit Chatterjee, Co-founder and CEO of Ema, praises Galileo’s end-to-end visibility as a game-changer for debugging and refining agents, making development faster and more efficient.
CEO’s Perspective:
“AI agents are unlocking a new era of innovation, but their complexity makes it difficult for developers to understand where failures occur and why,” said Vikram Chatterji, CEO of Galileo. “Agentic Evaluations gives developers the tools to pinpoint failure modes and optimize agent performance across entire workflows.”
Galileo’s Agentic Evaluations transforms how developers build and scale reliable, high-performing AI agents by offering complete visibility, detailed metrics, and actionable insights. With this new solution, developers can accelerate the deployment of trustworthy AI agents, ensuring their success across various real-world applications.