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šŸ”­ Galileo

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Galileo Company Market Research Report



Company Overview



Name


Galileo

Mission


To empower machine learning teams everywhere to create a better, more productive, bias-free future for the world.

Founded


No information available

Founders


No information available

Key People


  • Vikram Chatterji: Co-founder & CEO

  • Yash Sheth: Co-founder & COO

  • Atindriyo Sanyal: Co-founder & CTO


Headquarters


No information available

Number of Employees


No information available

Revenue


No information available

Known For


Galileo is renowned for its end-to-end solutions for generative AI evaluations, providing tools for observation, protection, and evaluation of AI systems. Their products are particularly focused on detecting and mitigating hallucinations in large language models (LLMs) and ensuring trustworthy generative AI adoption in enterprises.

Products



EvaluateĀ®


  • Description: Evaluation module for monitoring the performance and correctness of AI model outputs.

  • Key Features:

  • High accuracy (85% near-human level accuracy)

  • Low cost (almost $0 per evaluation)

  • Low latency (milliseconds)

  • Evaluation algorithms tailored for enterprise use cases


ObserveĀ®


  • Description: Real-time monitoring solution for AI systems in production.

  • Key Features:

  • Real-time monitoring and alerts

  • Cost tracking and optimization

  • Guardrail metrics for model quality and safety

  • Custom metrics


ProtectĀ®


  • Description: GenAI firewall solution that intercepts hallucinations and prompt attacks in real-time.

  • Key Features:

  • Proactive interceptions for security threats and data leaks

  • High accuracy research-backed metrics

  • Millisecond latency without sacrificing performance

  • Centralized, user-friendly interface for rule management


Lunaā„¢: Evaluation Foundation Models


  • Description: A family of small language models fine-tuned for enterprise evaluation tasks.

  • Key Features:

  • Best-in-class accuracy for context adherence

  • Low cost and high efficiency

  • Intelligent chunking approach for improved hallucination detection

  • Multi-task training for robust model calibration


Recent Developments



New Products Launched


  • Galileo Protect: An advanced GenAI firewall solution designed to intercept hallucinations, prompt attacks, and security threats in real-time.


New Features Added to Existing Products


  • Implementation of purpose-built small language models for context adherence checks.

  • Multi-task training within Lunaā„¢ models for enhanced evaluation reliability.


New Partnerships


No specific new partnerships mentioned.

Research and Innovations



ChainPoll


  • Description: A novel hallucination detection methodology providing an 85% correlation with human feedback.

  • Key Features:

  • High accuracy surpassing other methods like SelfCheckGPT, GPTScore, etc.

  • Cost-effective and fast

  • Provides human-readable justifications

  • Equally effective for open-domain and closed-domain hallucinations


Data Error Potential (DEP)


  • Description: A holistic data quality score aimed at identifying data samples that affect model performance.

  • Key Features:

  • Identifies mislabelled samples, boundary samples, outliers, and noisy input

  • Provides clear separation between bad data and clean data

  • Utilizes complex calculations like Area Under Margin (AUM)


RAG Analytics


  • Description: Detailed evaluation metrics for Retrieval-Augmented Generation (RAG) systems.

  • Key Features:

  • Chunk Attribution and Utilization metrics

  • Completeness and Context Adherence metrics

  • Advanced chunking techniques for better information processing


Evaluation Efficiency


  • Innovations:

  • Tailored small language models for evaluation tasks, optimized for cost and accuracy

  • Dynamic windowing techniques for improved context length adaptability

  • Training on diverse datasets to enhance model robustness

  • Token-level evaluation for enhanced explainability


Recent Publications


  • Introducing Galileo Protect: Your Real-Time Hallucination Firewall (May 2024)

  • Mastering RAG: Improve RAG Performance With 4 Powerful RAG Metrics (February 2024)

  • Introducing the Hallucination Index (November 2023)


For more detailed metrics and further information, visit Galileo's research documentation and product pages.