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Galileo

Galileo is the leading platform for enterprise GenAI evaluation and observability. Our comprehensive suite of products support builders across the new AI development workflow—from fine-tuning LLMs to developing, testing, monitoring, and securing their AI applications. Each product is powered by our research-backed evaluation metrics. Today, Galileo is used by 100s of AI teams from startups to Fortune 50 enterprises, including Twilio, Comcast, and HP.

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Founded

2021

Location

Burlingame, California

Employees

145

Funding

$18M Series A

Galileo: Evaluation, Observability, and Reliability for GenAI Apps and Agents

Galileo provides an end-to-end platform for building reliable AI applications and agents with structured evaluation, production observability, and runtime guardrails. Teams use Galileo to compare prompts and models, run automated and human-in-the-loop evals, trace agent steps, monitor real-time performance, and enforce safety and PII policies across the AI lifecycle—from fine-tuning and pre-prod testing to incident response.

  • Website: [galileo.ai](https://galileo.ai)
  • Free plan: [Pricing](https://galileo.ai/pricing) and developer signup: [Create an account](https://app.galileo.ai/sign-up)
  • Developer docs and SDKs: [SDK overview](https://v2docs.galileo.ai/sdk-api/overview), [Python SDK](https://github.com/rungalileo/galileo-python), [Examples](https://github.com/rungalileo/sdk-examples)
  • What Galileo Does

  • Evaluation intelligence for LLM apps and agents, powered by research-backed metrics and “evaluation agents” for automated scoring and critique
  • Production-grade observability with tracing, drift detection, latency/quality metrics, and alerts
  • Guardrails to block hallucinations, prompt injection, toxicity, and sensitive data leaks
  • Fast experiment loops across prompts, models, datasets, and fine-tuned variants
  • Core Modules

  • Evaluate: Automated and human-in-the-loop evaluations, rubric-based scoring, and regression testing
  • Observe: Real-time monitoring with tracing, performance metrics, and incident workflows; supports OpenTelemetry/OpenInference
  • Guardrails: Rule-based and model-based checks to prevent policy violations and data leaks
  • Experimentation: Compare prompts, models, and agent configs with side-by-side tests and dashboards
  • Who It’s For

  • Product and platform teams shipping LLM-powered features and agent systems
  • AI/ML engineers and data scientists managing evals, benchmarking, and fine-tuning
  • MLOps/SRE teams needing tracing, alerts, and incident response for AI in production
  • Security/risk teams enforcing safety policies and compliance guardrails
  • High-Value Use Cases

  • Pre-production evals for prompts, models, and fine-tuned variants
  • Regression testing and model benchmarking with automated metrics and human ratings
  • Real-time monitoring of accuracy, hallucination rate, latency, and drift
  • Guardrails for PII redaction, toxicity filtering, and prompt-injection defense
  • Agentic workflows with step-level tracing, feedback loops, and reliability scoring
  • Human rater pipelines for rubric calibration and ongoing quality management
  • Integrations and Ecosystem

  • SDKs/APIs: Python, TypeScript, CLI, and REST
  • Agent frameworks: LangChain agent monitoring cookbook
  • Tracing: OpenTelemetry/OpenInference for standardized traces
  • Cloud and marketplaces: [Google Cloud customer story](https://cloud.google.com/customers/galileo), [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-ecxzfdcsn6jje)
  • How It Works

  • Instrument: Add Galileo SDK or tracing hooks (OTel/OpenInference) to capture prompts, completions, agent steps, and metadata
  • Evaluate: Define rubrics and metrics; run automated evaluation agents and human-in-the-loop reviews to score quality, safety, and task success
  • Experiment: Compare prompts/models side-by-side; perform regression tests before rollout
  • Observe: Monitor production with dashboards, alerts, and drift detection; investigate issues with trace-level detail
  • Guard: Enforce rule- and model-based guardrails in real time to prevent harmful or non-compliant outputs
  • Proof and Momentum

  • Customers: Referenced by enterprises such as HP, Twilio, and Comcast
  • Case study: Google Cloud highlights Galileo’s “evaluation agents” on Vertex AI and Gemini
  • Marketplace presence: [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-ecxzfdcsn6jje)
  • Press: Series B announcement and platform overview
  • Pricing and Deployment

  • Free plan: Developer tier with monthly trace allowance for individuals and small teams
  • Enterprise: Advanced features, SSO, SLAs, and deployment options (SaaS or private) for larger rollouts
  • Signup: [Start free](https://app.galileo.ai/sign-up)
  • User Sentiment Snapshot

  • Pros
  • Easy setup for dataset-based evals; strong for agent evaluation
  • Production monitoring with useful metrics and smoother UX vs. manual setups
  • Cons
  • Narrower scope than some broader ML lifecycle platforms
  • Some users want refinements in monitoring UX/features
  • Limited public pricing detail beyond free vs. enterprise tiers
  • Differentiation vs. Alternatives

    Common alternatives include Humanloop, Langfuse, Arize Phoenix, HoneyHive, Weights & Biases Weave, TruEra, Kolena, Robust Intelligence, and DeepEval. Galileo differentiates with:

  • Strong emphasis on automated evaluation metrics and “evaluation agents” for both dev and prod
  • Enterprise-grade observability and runtime guardrails, plus agent step-level tracing
  • Ecosystem traction across cloud marketplaces and partnerships
  • Research-backed methodologies and comparisons on its blog
  • Company and Leadership

  • Company: Galileo
  • Founders: Vikram Chatterji (CEO), Atindriyo Sanyal (CTO), Yash Sheth (COO)
  • HQ: Burlingame, CA (address listed on LinkedIn)
  • Team: ~145 employees; ~17.6k followers on LinkedIn
  • Funding: $45M Series B led by Scale Venture Partners; total reported funding ~$68.1M
  • Getting Started

  • Explore product and docs: [galileo.ai](https://galileo.ai) and [Developer docs](https://v2docs.galileo.ai/sdk-api/overview)
  • Try it free: [Create an account](https://app.galileo.ai/sign-up)
  • Learn from examples: [SDK examples](https://github.com/rungalileo/sdk-examples) and [LangChain agent monitoring](https://v2docs.galileo.ai/cookbooks/use-cases/agent-langchain)
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