Galileo announced it raised $45M in Series B funding led by Scale Venture Partners, with participation from Premji Invest, bringing the company's total funding to $68M.
The surge in enterprise demand for Galileo's Evaluation Intelligence platform also attracted participation from strategic investors, including Databricks Ventures, ServiceNow Ventures, Amex Ventures, Citi Ventures, SentinelOne Ventures, as well as AI leaders like Clement Delangue, CEO of HuggingFace and Ankit Sobti, CTO of Postman. The round also includes existing investors, Battery Ventures, Walden Capital and Factory. Additionally, Andy Vitus, Partner at Scale Venture Partners, will join Galileo's board. With this investment, Galileo will scale its go-to-market strategy, expand its product development efforts, and double down on AI evaluation research to help AI developers build trustworthy AI applications.
Galileo's Evaluation Intelligence platform gives AI teams a scalable solution to evaluate, monitor, and protect their AI systems, helping ensure safe and effective performance in development and production.
"We started Galileo three years ago to solve AI's measurement problem, specifically with a focus on language models. Using humans or LLMs to judge model responses is expensive, slow, and does not scale. Yet today these are the de-facto techniques adopted across AI teams," said CEO and co-founder of Galileo Vikram Chatterji. "Our unique research-backed approach and carefully crafted UX has seen massive adoption across enterprises to unblock and grow GenAI application development. The new funding will allow us to greatly accelerate our development to meet the increasing demand."
Galileo's growth has been driven by three major trends in the AI landscape:
- First, enterprise adoption of generative AI (GenAI) is surging—Gartner projects that by 2026, over 80% of enterprises will have integrated GenAI APIs or deployed GenAI-enabled applications in production.
- Second, as AI becomes accessible to 30 million software developers—not just machine learning engineers and data scientists—many teams lack a standardized framework to evaluate the accuracy and safety of their AI solutions. A recent report found that evaluation is the second greatest challenge in deploying production AI, after serving costs, with nearly 50% of organizations relying on subjective human feedback and review.
- Third, as teams adopt advanced AI methods like RAG (Retrieval-Augmented Generation) and agentic workflows, the need for robust evaluation tools is only intensifying, driving demand for Galileo's platform to ensure reliable and effective AI deployments.
Galileo provides enterprises with an end-to-end platform that enables teams to use more accurate and trustworthy AI. Galileo developed the first Evaluation Intelligence Platform, that embeds research-backed evaluation metrics across the entire GenAI stack and workflow, giving teams the visibility and control they need to build, deploy, test, monitor, and secure their AI system.
Andrew Ferguson, VP, Databricks Ventures, said: "Evaluations have become a critical component of the AI stack, and Galileo has established itself as a leader with one of the most mature products and businesses in this space. We look forward to collaborating further to accelerate enterprise adoption of generative AI and to help companies build data intelligence."
"It's incredibly rare to find AI infrastructure companies like Galileo that can deliver value regardless of your chosen cloud or LLM," said Vedant Agrawal, Vice President of Premji Invest. "This unique positioning, coupled with the potential to build a massive franchise, is what drove our excitement."
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...