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Galileo has secured $45 million in Series B funding to expand its Evaluation Intelligence Platform, which helps AI teams measure, test, and improve the accuracy and safety of their models. The platform provides tools for end-to-end AI development, offering customizable metrics and real-time insights without requiring extensive ground truth data. This funding will enable Galileo to further scale its operations, support more enterprise customers, and continue addressing the critical need for robust AI evaluation.
Galileo Unites AI Teams with Series B Funding Boost: The Journey So Far
Galileo, founded in 2021, has rapidly emerged as a leading solution provider for AI evaluation and observability. The company’s mission is clear: to tackle the growing challenge of measuring AI’s accuracy, safety, and performance in real-world applications. As more enterprises incorporate advanced AI models, the need for robust testing frameworks becomes crucial.
In recent years, Galileo has partnered with notable companies such as Twilio, HP, and ServiceTitan. These collaborations have helped drive enterprise adoption of its Evaluation Intelligence Platform. Today, with the backing of high-profile customers and a strong reputation, Galileo is set to scale its operations further, thanks to a successful Series B funding round.
What Makes AI Evaluation So Critical for Today’s Enterprises?
The adoption of AI technologies continues to expand across industries, yet the challenge of evaluating AI systems remains unsolved for many organizations. As companies implement large language models (LLMs) and more complex AI frameworks, the demand for scalable, reliable measurement tools intensifies.
Common issues in AI measurement include:
- Lack of standardized tools and metrics to effectively assess AI performance.
- Unique evaluation needs for each use case, making traditional testing methods less effective.
- Inability to scale AI evaluations to match production-level throughput.
These factors highlight why developing a strong foundation for AI measurement is essential for enterprises seeking to maximize the potential of their AI systems. The rapid pace of AI experimentation and deployment only exacerbates the need for consistent, accurate evaluation across workflows.
Breaking Down Galileo’s Evaluation Intelligence Platform: Key Features
Galileo’s Evaluation Intelligence Platform is designed to support the new AI development workflow, which emphasizes continuous iteration, testing, and monitoring. Its capabilities are divided into four core modules: Fine-Tune, Evaluate, Observe, and Protect. Together, these tools offer end-to-end support for AI teams, from model training to post-deployment monitoring.
The Luna Evaluation Suite is a cornerstone of the platform, providing high-performance models to evaluate key metrics such as:
- AI hallucinations
- Retrieval efficacy
- Agent quality
What makes Luna distinct is its ability to deliver insights without the need for extensive ground truth data. This allows AI teams to immediately begin analyzing their systems without spending significant time on preparation. The suite’s adaptive metrics evolve based on human feedback, allowing customization for specific use cases.
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$45 Million Series B: A Game-Changer for Galileo’s Growth and Innovation
Galileo’s recent $45 million Series B funding marks a significant milestone in the company’s growth. Led by Scale Venture Partners, the funding round attracted investments from Databricks Ventures, Premji Invest, Amex Ventures, Citi Ventures, and ServiceNow. The financial backing strengthens Galileo’s position in the market, enabling it to scale its platform and accelerate its development roadmap.
Galileo has seen exceptional growth in 2024, with a reported 834% increase in annual recurring revenue (ARR) and a 400% increase in its enterprise customer base. The company’s expansion has attracted six Fortune 50 companies, further solidifying its impact on AI teams across industries.
Joining Galileo’s advisory board are industry leaders Clement Delangue, CEO of Hugging Face, and Ankit Sobti, CTO of Postman. Their involvement signals a shared commitment to advancing the future of AI evaluation and fostering collaboration among AI developers worldwide.
How Galileo Empowers AI Teams with Trust and Confidence
Galileo’s platform helps AI teams develop their models with greater accuracy and reliability. By integrating real-time evaluation into the AI development process, teams can rapidly test and fine-tune their systems while ensuring they meet critical performance benchmarks.
With its evaluation modules, Galileo helps:
- Streamline the debugging process by identifying issues early in development.
- Enhance collaboration by providing shared metrics across teams.
- Increase system safety by offering continuous monitoring during production.
Galileo’s tools have proven valuable in sectors relying on generative AI models, reducing the need for manual oversight while enabling AI systems to scale with confidence. By providing flexible evaluation models, the platform allows organizations to tailor their testing methods to their unique AI applications.
Galileo’s Vision for the Future: Expanding Global Impact
With its new Series B funding, Galileo plans to expand its platform’s capabilities and reach. The company aims to onboard more enterprise customers and strengthen its infrastructure to support a growing range of AI use cases. The funding will also allow Galileo to introduce new features that meet the evolving needs of AI development teams.
As the demand for trustworthy AI continues to rise, Galileo’s role in the AI ecosystem becomes more critical. By building tools that enable better evaluation and observability, the company is helping organizations create more robust and accurate AI systems. This not only improves AI performance but also ensures that AI is used safely and ethically across industries.
Galileo’s future growth lies in its ability to continually adapt its platform to the shifting demands of the AI landscape. With strong financial backing and an expanding customer base, Galileo is well-positioned to play a pivotal role in shaping how AI is developed, tested, and deployed globally.
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