Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Trace.Space is a platform built on AI principles that streamlines requirements management and traceability, enhancing efficiency in the complex landscape of large-scale product development. It allows teams to seamlessly import requirements, tests, and change logs from various formats and tools, including PDFs, documents, Jira, Git, and APIs, consolidating them into a unified system. By leveraging AI capabilities, it creates trace links, identifies gaps in coverage, and points out inconsistencies among requirements, design artifacts, and testing layers, effectively transforming disparate data into an interconnected, dynamic graph. This trace graph undergoes continuous analysis to unearth potential risks, broken links, and the ramifications of changes, ensuring that teams can proactively address issues before they lead to project delays. Furthermore, Trace.Space fosters real-time collaboration, enabling team members to review, comment on, and approve modifications while preserving comprehensive traceability of decisions and their effects across hardware, software, and systems engineering. This collaborative approach not only improves communication but also enhances the overall quality and reliability of the development process.
Description
Establishing a system to receive and track materials, ingredients, and packaging for effective traceability and inventory oversight is essential. It involves managing the data collected at crucial stages during the production cycle. Additionally, this system enables tracing all operations necessary for product assembly. This module encompasses the monitoring of equipment such as coolers, freezers, and smokehouses, while also addressing yields and losses. Furthermore, your facility will have the capability to trace the journey of finished products as they are sent to your retail locations. It also includes the generation of required reports that illustrate product movement throughout the facility. Moreover, the system will facilitate the creation of reports for conducting a comprehensive recall of any finished product, batch, or item containing a specific ingredient. Alongside these features, it allows for the collection and management of data related to slaughterhouse operations, including the recording and tracking of animal RFID tags and tattoo numbers, ensuring thorough oversight of the entire production process. This comprehensive approach not only enhances operational efficiency but also significantly improves compliance with regulatory standards.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AutoCAD
Yes
Azure DevOps
Yes
Confluence
Yes
Git
Yes
GitHub
Yes
IBM DOORS Next
Yes
Jama Connect
Yes
Jenkins
Yes
Jira
Yes
Microsoft Teams
Yes
Integrations
AutoCAD
No
Azure DevOps
No
Confluence
No
Git
No
GitHub
No
IBM DOORS Next
No
Jama Connect
No
Jenkins
No
Jira
No
Microsoft Teams
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
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
Trace.Space
Founded
2023
Country
United States
Website
www.trace.space/
Vendor Details
Company Name
Can-Trac Technologies
Country
Canada
Website
www.can-trac.ca
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
Engineering
2D Drawing
No
3D Modeling
No
Chemical Engineering
No
Civil Engineering
No
Collaboration
No
Design Analysis
No
Design Export
No
Document Management
No
Electrical Engineering
No
Mechanical Engineering
No
Mechatronics
No
Presentation Tools
No
Structural Engineering
No
Product Features
Food Traceability
CRM
No
Order Management
Yes
Product Lifecycle Management
Yes
Production Management
Yes
Quality Control
Yes
Recall Management
Yes
Recipe Management
Yes
Traceability
Yes
Traceback & Traceforward
Yes