Galileo is an agentic AI firm founded in 2021 that is helping companies build reliable AI systems. Central to its operations is a steady belief in the power of AI as a safe and trustworthy change agent. Aligning with this philosophy, it offers AI evaluation and observation services that assist in framing real-time guardrails against potential shortcomings of AI applications. Galileo recognizes the complexity of AI systems in times to come and is committed to helping developers correct unexpected behaviors of the software being tested by simplifying these systems.

Moreover, Galileo helps companies become future-proof by offering actionable insights on their application development. This sets up a virtuous cycle of developers continuously improving, avoiding mistakes in production, and immediately bringing that learning back into the development cycle. To solve the AI measurement problem, Galileo offers more than 20 out-of-the-box evals (systematic tests used to evaluate the performance, quality, and reliability of Large Language Model applications) for Retrieval-Augmented Generation (RAG), agents, safety, and security. These help developers encode their domain expertise by building custom evaluators. It is the only company to turn high-end, expensive AI models used for grading (LLM-as-a-judge) into smaller “Luna 2” models that are both cheaper and faster.     

Also, Galileo offers quick, efficient feedback by ensuring the whole development lifecycle gains exposure to a streamlined and powerful process of evaluation. It evaluates agent behavior to identify failure modes and surface hidden patterns. By following its prescribed fixes, developers can debug faster to expedite applications and gain more experience, thereby building stronger, resilient AI systems. Furthermore, Galileo enhances the AI development lifecycle with unit testing and continuous integration/continuous development (CI/CD) rigor. In this way, pre-production evals govern production, and developers do not require glue-code to control agent actions, gain tool access, and handle escalation paths.

Directing the Future of AI Applications with Clarity and Purpose

Galileo’s founders envisioned the necessity for developers to control the unpredictable nature of LLM applications for successfully building apps. The experience of working with formative AI products such as BERT models at Google AI, speech recognition models at Google, Uber AI, and Apple Siri equipped them with the theoretical understanding and first-hand understanding of the challenges associated with releasing stable AI products that are built to last. It is driven by a mission to empower developers to be innovative and ingenious during the entirety of the product development cycle by giving them the control to shape the destiny of their products.

Moreover, Galileo prioritizes its vision of making its products accessible to everyone. Anyone can try the software for free and avail 5000 traces per month. It’s Pro Plan at $100 per month, billed yearly, offers incredible value for developers and teams looking to launch their app with confidence. As part of the plan, 50,000 traces per month, standard RBAC, advanced analytics and insights, along with dedicated support via Slack, are offered. Enterprise plans are available at custom rates, offering a plethora of features for teams that need unlimited scale, security, and premium support.

Complete, Adaptive, and Scalable Solution for Reliable AI

Galileo is the comprehensive end-to-end platform for AI evaluation, observability, and real-time protection to help developers ship their products with confidence. It emphasizes three verticals as the central pillar of its operations, as follows:

Completeness – The best way to measure accuracy offline and online is by using Galileo. Developers can opt to create their own evaluators or start with out-of-the-box ones. It is unique in being the only agentic AI that distills evaluators into company models that are neither latency nor cost-intensive. Galileo can help developers determine which model and prompts work best by testing different combinations.

Adaptability – Galileo helps developers contextualize their efforts of improving AI apps with its Evaluation Engine that amalgamates the convenience of prebuilt evaluators that help get started, along with custom evaluators for testing unique applications. It provides an ideal toolkit for developers to build and improve their desired library of accurate evaluators and metrics.

Scalability – Galileo solves the traditional problem of accuracy vs. speed tradeoff related to advanced evaluators with its Luna 2 model. It provides evaluators that are accurate and have low latency (often under 200ms). This enables fast-enough monitoring of AI applications in real-time that can be intercepted for both safety and security. Galileo Signals is another tool that automatically detects failure patterns in AI agents that are invisible to evals and manual searches. It builds institutional memory across runs, getting smarter over time as it learns what matters in your system.

Achieving Breakthroughs in AI With a Dedicated Workforce

Galileo values its employees as essential partners in progress – an indispensable asset that drives its operations every day. It attracts the best minds in the US and elsewhere into its fold, who form the backbone of its pursuit of excellence. Enabling its workforce, both in-person and remote workers, to lead a healthy life is a cherished ideal. Galileo provides best-in-class Health, Dental, and Vision coverage for its team. To ensure employees function with synergy of mind, body, and spirit, a dedicated wellness stipend is provided to all team members for looking after themselves even outside of work.

Cutting-Edge Evaluation and Observability Platform on an Ambitious Mission

Galileo is an agentic AI firm established by former employees at Google, Apple, and Uber in 2021. The company solves the critical “measurement problem” during the development of LLM applications by providing an end-to-end platform to developers, AI engineers, and eval engineers. The specialized toolset that Galileo provides for RAG and agentic workflows enables organizations to build AI systems that achieve top performance while maintaining operational safety, consistency, and dependability.

Internally, Galileo creates a workplace that enables its staff members to work collaboratively while maintaining their personal health. The organization attracts top talent by providing health coverage that surpasses industry standards and wellness benefits like unlimited time off. It displays dedication to supporting employees by implementing caregiver leave policies and comprehensive retirement benefits. Hence, Galileo creates an environment that promotes accountability and care, thereby allowing its specialists to concentrate their attention on advancing AI infrastructure development.

“At Galileo, we believe that AI can be trustworthy, safe, and observable. We're helping builders create that future with workflows that span evaluation, monitoring, observability, and real-time guardrails.”