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Description
ATA is an intelligent API management platform driven by AI that consolidates design, testing, governance, documentation, and lifecycle workflows into a cohesive workspace, enabling teams to efficiently design, develop, test, maintain, and oversee APIs with enhanced quality and collaboration. This platform ensures that API code, design documentation, specifications, test cases, and release notes are consistently synchronized, minimizing manual tasks and discrepancies while accommodating OpenAPI specifications, facilitating frontend progress with mock servers even before the backend is ready, and enabling scheduled API monitoring to catch slow responses, timeouts, or failures at an early stage. Additionally, it features a Developer Studio that supports design-first OpenAPI creation and version control, offers end-to-end test automation with AI-generated robustness and security assessments, includes mock servers, and enables chained API workflows along with UI automation testing, all backed by a Documentation Portal that centralizes API documentation with support for multiple editors, version management, secure access controls, and automatically linked live endpoints. Ultimately, ATA streamlines the entire API lifecycle, fostering better collaboration and efficiency among development teams.
Description
The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Azure Blob Storage
DataRobot
Databricks
GitHub
Google Cloud BigQuery
Google Cloud Storage
Integrations
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Azure Blob Storage
DataRobot
Databricks
GitHub
Google Cloud BigQuery
Google Cloud Storage
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
ATA
Founded
2024
Country
United States
Website
ata.dev/
Vendor Details
Company Name
Robust Intelligence
Founded
2019
Country
United States
Website
www.robustintelligence.com
Product Features
API Management
API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization