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Description
Understanding the shortcomings of models can be challenging, particularly in identifying which data caused poor performance and the reasons behind it. Galileo offers a comprehensive suite of tools that allows machine learning teams to detect and rectify data errors up to ten times quicker. By analyzing your unlabeled data, Galileo can automatically pinpoint patterns of errors and gaps in the dataset utilized by your model. We recognize that the process of ML experimentation can be chaotic, requiring substantial data and numerous model adjustments over multiple iterations. With Galileo, you can manage and compare your experiment runs in a centralized location and swiftly distribute reports to your team. Designed to seamlessly fit into your existing ML infrastructure, Galileo enables you to send a curated dataset to your data repository for retraining, direct mislabeled data to your labeling team, and share collaborative insights, among other functionalities. Ultimately, Galileo is specifically crafted for ML teams aiming to enhance the quality of their models more efficiently and effectively. This focus on collaboration and speed makes it an invaluable asset for teams striving to innovate in the machine learning landscape.
Description
Gain a comprehensive understanding of your model's efficacy by logging both inputs and outputs while enhancing them with relevant metadata and user insights. This approach allows you to truly assess your model's functionality and identify areas that require refinement. Keep an eye out for errors and pinpoint underperforming user segments and scenarios that may need attention. The most effective models leverage user-generated data; therefore, systematically collect atypical or low-performing instances to enhance your model through retraining. Rather than sifting through countless outputs following adjustments to your prompts or models, adopt a programmatic evaluation of your LLM-driven applications. Rapidly identify and address performance issues by monitoring new deployments in real-time and effortlessly updating the version of your application that users engage with. Establish connections between your self-hosted or third-party models and your current data repositories for seamless integration. Handle enterprise-scale data effortlessly with our serverless streaming data flow engine, designed for efficiency and scalability. Moreover, Gantry adheres to SOC-2 standards and incorporates robust enterprise-grade authentication features to ensure data security and integrity. This dedication to compliance and security solidifies trust with users while optimizing performance.
API Access
Has API
API Access
Has API
Integrations
Amazon Bedrock
Amazon SageMaker
Azure OpenAI Service
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Integrations
Amazon Bedrock
Amazon SageMaker
Azure OpenAI Service
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Galileo
Founded
2021
Country
United States
Website
www.galileo.ai/
Vendor Details
Company Name
Gantry
Founded
2020
Country
United States
Website
www.gantry.io
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization