GenAI evaluation and observability platform for reliable AI applications
Galileo operates a data-intensive observability stack—Python, FastAPI, Kafka, PostgreSQL, MongoDB, Cassandra, ClickHouse, Apache Pinot—built to handle millions of queries at scale. The tech foundation reveals a company solving observability and infrastructure challenges endemic to production GenAI: the pain-point list centers on monitoring, reliability, and performance optimization at scale, while projects span evaluation frameworks, proof-of-concept tooling, and developer education. Hiring skews senior (12 of 20 active roles), with engineering leading, signaling focus on deepening product depth rather than pure growth.
Galileo provides an evaluation and observability platform for teams building generative AI applications. The product covers the full AI development workflow—fine-tuning, development, testing, monitoring, and security—grounded in research-backed evaluation metrics. The company operates at a scale spanning startups to Fortune 50 enterprises. Headquarters are in Burlingame, California, with engineering and sales hiring across the United States, Canada, and India. Founded in 2021, the company sits at 51–200 employees and maintains a steady hiring velocity focused on engineering and customer success functions.
Python, FastAPI, Kafka, PostgreSQL, MongoDB, Cassandra, ClickHouse, Apache Pinot, RabbitMQ, AWS, PyTorch, TensorFlow, LangGraph, and CrewAI. The stack emphasizes high-throughput data pipelines and ML frameworks.
Burlingame, California. The company was founded in 2021 and operates at 51–200 employees.
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