End-to-end platform for building, evaluating, and monitoring generative AI applications with confidence
Galileo is a comprehensive platform designed to accelerate the development lifecycle of generative AI applications. It provides teams with integrated tools for generating, evaluating, and monitoring LLM products throughout their journey from development to production deployment. The platform automates critical validation workflows, enabling data scientists and engineers to identify quality issues, refine model outputs, and ensure robust performance at scale. Galileo's observability capabilities deliver real-time insights into application behavior, helping teams diagnose failures and optimize performance. Through AiDOOS marketplace integration, Galileo extends its capabilities with seamless governance workflows, enhanced model evaluation frameworks, and scalable infrastructure for managing large-scale AI deployments. Teams gain access to pre-built evaluation metrics, automated testing pipelines, and comprehensive monitoring dashboards that reduce time-to-market while maintaining production reliability and compliance standards.
Accelerate development of chatbot, content generation, and summarization applications with automated evaluation and rapid iteration capabilities.
Monitor deployed generative AI applications for quality degradation, hallucinations, and edge case failures with real-time alerting.
Validate LLM outputs against safety guidelines, compliance requirements, and business rules before production release.
Compare model versions, evaluate fine-tuning effectiveness, and systematically improve outputs through data-driven experiments.
Establish organizational standards for LLM application quality, track performance across teams, and ensure consistent governance.
Galileo pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Systematic assessment of LLM outputs
80% faster quality validation compared to manual reviewComplete visibility into application behavior
Immediate detection of performance degradation and anomaliesAutomated synthetic data and test case generation
Reduces manual data preparation time by 70%Pre-configured evaluation criteria for common use cases
Deploy evaluation frameworks without custom codingComprehensive logging and analytics for deployed models
Identify root causes of failures within minutesStreamlined feedback loops for output improvement
Accelerate model optimization through structured experimentationAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Direct integration with GPT models for seamless prompt testing and evaluation
Native support for Claude LLM models with automated quality assessment
Integration with Hugging Face model hub for evaluating open-source LLMs
Compatible with LangChain framework for monitoring AI application chains
Version control and iteration tracking for prompt experiments
Integration with data warehouses for evaluation dataset management
Automated evaluation in development workflows and deployment gates
Notifications and alerts for critical monitoring events and test results
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists