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Description
Cruxi is a specialized vertical AI platform designed for teams involved in the regulatory processes of medical devices. It efficiently processes a variety of sources, including FDA regulations, guidance documents, product codes, standards, MAUDE events, recalls, and historical 510(k) submissions to enhance workflows related to 510(k), De Novo, and eSTAR applications. Users benefit from the ability to quickly classify devices, analyze predicates, strategize evidence presentation, and create fully referenced content that aligns with the requirements of eSTAR for each part of their submission. The platform not only provides comprehensive submission workflows but also offers targeted micro-services, such as classification, predicate evaluation, and drafting of specific sections. This versatility makes Cruxi particularly valuable for early-stage startups, in-house regulatory teams, and consultants, enabling them to produce high-quality submissions while minimizing manual effort and reducing unforeseen challenges with the FDA. By streamlining the regulatory submission process, Cruxi ultimately helps organizations navigate the complexities of compliance more effectively.
Description
Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.
API Access
Has API
No
API Access
Has API
No
Integrations
Flux
No
Python
No
Pricing Details
Credit-based system
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
No
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
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cruxi
Founded
2024
Country
United States
Website
cruxi.ai
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/waiting/