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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
API Access
Has API
Integrations
Flux
Python
Pricing Details
Credit-based system
Free Trial
Free Version
Pricing Details
Free
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
Cruxi
Founded
2024
Country
United States
Website
cruxi.ai
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/waiting/