Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gartner describes a "Cool Vendor" as a small enterprise that provides a technology or service that is innovative, impactful, or intriguing. Customers utilizing AutoScheduler have experienced more than a 100% enhancement in cross-docking efficiency at their facilities. This solution automatically adjusts docking locations to minimize the number of transfers between warehouses required for fulfilling orders. AutoScheduler aims to identify orders and receipts that have not yet entered the WMS, including production, upcoming orders, and inbound shipments. It is crucial to recognize that everything has a limited lifespan, so ensure that your WMS effectively manages this across various locations. By optimizing this aspect, businesses can enhance their overall operational efficiency and responsiveness to market demands.
Description
Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AI21 Studio
No
Amazon Bedrock
No
Amazon Bedrock AgentCore
No
Codestral
No
Databricks
No
Gemini Enterprise Agent Platform
No
GitHub
No
GitLab
No
Google Cloud Platform
No
Hugging Face
No
Integrations
AI21 Studio
Yes
Amazon Bedrock
Yes
Amazon Bedrock AgentCore
Yes
Codestral
Yes
Databricks
Yes
Gemini Enterprise Agent Platform
Yes
GitHub
Yes
GitLab
Yes
Google Cloud Platform
Yes
Hugging Face
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Subscription license
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
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
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
AutoScheduler
Country
United States
Website
autoscheduler.ai/
Vendor Details
Company Name
Noma Security
Founded
2023
Country
New York City
Website
noma.security/
Product Features
Dock Scheduling
Alerts/Notifications
No
Automated Scheduling
Yes
Calendar Management
No
Document Management
No
Load Status Tracking
No
Multi-Location
Yes
Online Booking
No
Recurring Appointments
No
Rules-Based Scheduling
No
Self Service Portal
No
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No