Galileo

Galileo: Accelerate the Development and Validation of Generative AI Applications

Galileo is an all-in-one platform built to empower teams to generate, evaluate, and monitor generative AI applications with speed, precision, and confidence. Whether you’re building large language model (LLM) products, refining outputs, or ensuring robust performance in production, Galileo delivers the automation and observability needed to accelerate your AI workflows — from development to deployment.

Key Features & Capabilities

End-to-End AI Workflow Automation

Galileo streamlines the full lifecycle of generative AI models — from creation and testing to validation and deployment — reducing manual intervention and accelerating time to value.

Real-Time Model Evaluation

Continuously validate and refine your generative AI outputs with real-time feedback. Galileo captures performance metrics such as:

• Accuracy and consistency

• Response quality

• Latency and error logs

Observability for Generative AI

With built-in monitoring tools, Galileo gives developers deep visibility into how their AI models perform in live environments:

• Track metrics like loss rates, execution times, and token usage

• Debug issues using granular logs and custom alerts

• Monitor drift or degradation over time

Seamless Cloud Integration

Galileo natively integrates with major cloud providers like AWS, Azure, and Google Cloud, allowing for frictionless deployment and scalability across diverse environments.

Modular, Customizable Architecture

Pick and combine tools for specific tasks such as:

• Prompt debugging

• Output validation

• Fine-tuning and data curation
  This flexible approach ensures that Galileo adapts to your team’s unique requirements, whether in R&D, production, or QA.

Enterprise-Grade Security

Safeguard sensitive data during model validation, review, and deployment with robust security protocols that support compliance with industry standards.

Who Should Use Galileo?

• Developers refining LLM pipelines and iterating quickly

• Data scientists evaluating and debugging generative model performance

• Product teams deploying AI features into customer-facing applications

• Operations leaders seeking full transparency and performance assurance

How AiDOOS Helps You Get the Most from Galileo

Implementing Galileo at scale and aligning it with your internal workflows requires deep expertise and focused execution. AiDOOS helps you unlock the full potential of Galileo through its outcome-based delivery model — enabling you to move fast without building internal teams.

AiDOOS for Galileo Users:

• Tailored Implementation & Configuration
  AiDOOS connects you with top-tier AI and DevOps experts who integrate Galileo into your environment, customized for your data stack and use cases.

• Automation of Validation Workflows
  Our professionals help design automated pipelines that leverage Galileo’s tools for prompt evaluation, output scoring, and iterative fine-tuning — ensuring faster model maturity.

• Seamless Cloud Integration Support
  Whether deploying on AWS, Azure, or GCP, AiDOOS engineers ensure smooth interoperability between Galileo and your existing cloud infrastructure.

• Outcome-Based AI Observability
  Define your goals (e.g., reduce hallucinations, improve response time, or track token usage), and AiDOOS delivers end-to-end observability and analytics aligned with those outcomes.

• No Hiring Overhead
  Skip the delays and costs of assembling an in-house AI monitoring team. With AiDOOS, you gain access to vetted global talent on-demand, whenever and however you need it.

Build Better Generative AI Faster — With Galileo and AiDOOS

With Galileo, your team can build, test, and deploy generative AI apps smarter and faster. With AiDOOS, you can implement and scale it confidently — without internal overhead, long ramp-ups, or integration risks.

Let Galileo handle the intelligence. Let AiDOOS handle the execution.

Schedule a Meeting to Avail the Services of Galileo