Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Foxglove is a sophisticated platform designed specifically for the visualization, observability, and management of data in the robotics and embodied AI sectors, effectively centralizing various large and complex multimodal temporal datasets such as time series, sensor logs, imagery, lidar/point clouds, and geospatial maps within a unified workspace. It empowers engineers to efficiently record, import, organize, stream, and visualize both live and archived data from robotic systems through user-friendly, customizable dashboards that feature interactive panels for 3D scenes, plots, images, and maps, thereby enhancing the understanding of robotic perception, cognition, and actions. Furthermore, Foxglove facilitates real-time integration with systems like ROS and ROS 2 through bridges and web sockets, supports cross-platform operations (available as a desktop application for Linux, Windows, and macOS), and accelerates the processes of analysis, debugging, and performance enhancement by synchronizing disparate data sources in both time and spatial contexts. Additionally, its intuitive design and comprehensive functionalities make it an invaluable tool for researchers and developers alike, ensuring a streamlined workflow in the dynamic field of robotics.
Description
Galileo is an AI observability and eval engineering platform designed to help teams evaluate, monitor, guardrail, and improve AI agents and applications. The platform connects the offline testing process with production governance, turning evals into guardrails that can control agent actions, tool access, escalation paths, and safety behavior. Galileo helps teams capture ground truth from synthetic data, development data, live production data, and subject matter expert annotations. Its evaluation capabilities include RAG evals, agent evals, safety evals, security evals, and custom evals that can be tuned to specific environments. Galileo’s Luna models distill optimized LLM-as-judge evaluators into compact models that run at lower cost and latency for production-scale monitoring. The insights engine analyzes traces, prompts, functions, context, datasets, models, and agent behavior to identify failure modes and recommend fixes. Teams can use Galileo to detect hallucinations, tool-selection failures, drift, bias, unsafe outputs, and other reliability issues before they harm production experiences. Deployment options include SaaS, virtual private cloud, and on-premises environments. By combining observability, eval engineering, production guardrails, ground-truth datasets, Luna models, insights, and enterprise deployment options, Galileo helps organizations build more reliable AI systems.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Bedrock
No
Amazon SageMaker
No
Azure OpenAI Service
No
C++
Yes
Gemini
No
Gemini 1.5 Flash
No
Gemini 1.5 Pro
No
Gemini 2.0
No
Gemini 2.0 Flash
No
Gemini Enterprise
No
Integrations
Amazon Bedrock
Yes
Amazon SageMaker
Yes
Azure OpenAI Service
Yes
C++
No
Gemini
Yes
Gemini 1.5 Flash
Yes
Gemini 1.5 Pro
Yes
Gemini 2.0
Yes
Gemini 2.0 Flash
Yes
Gemini Enterprise
Yes
Pricing Details
$18 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Foxglove
Founded
2021
Country
United States
Website
foxglove.dev/
Vendor Details
Company Name
Cisco
Country
United States
Website
www.galileo.ai/
Product Features
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No