Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.
Description
Randoli serves as a comprehensive observability and cost management solution built on OpenTelemetry, specifically designed for Kubernetes, multicloud, hybrid, and AI/ML workloads. By consolidating essential elements such as infrastructure health, application performance, logs, metrics, traces, incidents, and cloud expenditures into a single control interface, it allows teams to move away from disparate tools and gain a unified view of system operations. Its federated architecture effectively decouples the control plane from the data plane, facilitating local telemetry analysis, relevant signal extraction, and on-demand data retrieval during investigations, all while minimizing ingestion and egress and ensuring data sovereignty is upheld. Randoli is capable of monitoring a wide range of components, including clusters, nodes, pods, workloads, services, dependencies, latency, errors, throughput, and resource utilization across diverse environments such as AWS, Azure, Google Cloud, OpenShift, and on-premises setups. Additionally, it leverages OpenTelemetry and eBPF for automatic, low-overhead instrumentation, which enhances filtering, telemetry enrichment, and real-time signal correlation, thus optimizing observability across the board. This innovative approach not only streamlines operational insights but also empowers teams to proactively manage performance and costs in their cloud infrastructures.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Bedrock
Yes
Amazon Web Services (AWS)
No
Arize Phoenix
Yes
Azure Marketplace
Yes
Claude
Yes
Flowise
Yes
Gemini Enterprise Agent Platform
Yes
Google Cloud Platform
No
Hugging Face
Yes
Kubernetes
No
Integrations
Amazon Bedrock
No
Amazon Web Services (AWS)
Yes
Arize Phoenix
No
Azure Marketplace
No
Claude
No
Flowise
No
Gemini Enterprise Agent Platform
No
Google Cloud Platform
Yes
Hugging Face
No
Kubernetes
Yes
Pricing Details
$50/month
Free to use - OSS version
$50/month - Enterprise version
$50/month - Enterprise version
Free Trial
Yes
Free Version
Yes
Pricing Details
$0.04 per hour
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Arize AI
Country
United States
Website
arize.com
Vendor Details
Company Name
Randoli
Founded
2017
Country
Canada
Website
www.randoli.io
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
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