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Description
Regardless of whether you are a seasoned professional or a newcomer to the regulatory submission landscape, the possibility of your electronic common technical document (eCTD) submissions being rejected is a significant concern, particularly in light of the increasingly intricate and evolving regulatory landscape. Furthermore, variations in eCTD submission requirements across different regions, along with the challenges of managing the entire document lifecycle, can complicate efforts to achieve your organization’s objectives for speeding up market release. By utilizing Certara’s GlobalSubmit™ eCTD submissions management software, your regulatory team will be equipped with the necessary tools to efficiently publish, validate, and review eCTD submissions. This approach allows you to mitigate risks and sidestep unnecessary complexities through a streamlined eCTD submission process, ultimately supporting your regulatory team as they strive to meet critical deadlines and bring treatments to patients. Therefore, as your regulatory department works diligently to meet tight timelines and ensure timely patient access to new therapies, filing your eCTD submissions becomes an essential task. Ensure that you have the right resources in place to enhance your submission efficiency, thereby bolstering your chances for success.
Description
Lightly intelligently identifies the most impactful subset of your data, enhancing model accuracy through iterative improvements by leveraging the finest data for retraining. By minimizing data redundancy and bias while concentrating on edge cases, you can maximize the efficiency of your data. Lightly's algorithms can efficiently handle substantial datasets in under 24 hours. Easily connect Lightly to your existing cloud storage solutions to automate the processing of new data seamlessly. With our API, you can fully automate the data selection workflow. Experience cutting-edge active learning algorithms that combine both active and self-supervised techniques for optimal data selection. By utilizing a blend of model predictions, embeddings, and relevant metadata, you can achieve your ideal data distribution. Gain deeper insights into your data distribution, biases, and edge cases to further refine your model. Additionally, you can manage data curation efforts while monitoring new data for labeling and subsequent model training. Installation is straightforward through a Docker image, and thanks to cloud storage integration, your data remains secure within your infrastructure, ensuring privacy and control. This approach allows for a holistic view of data management, making it easier to adapt to evolving modeling needs.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
CVAT
Docker
Google Cloud Platform
Label Studio
Labelbox
Microsoft Azure
PyTorch
TensorFlow
V7 Darwin
Integrations
Amazon S3
CVAT
Docker
Google Cloud Platform
Label Studio
Labelbox
Microsoft Azure
PyTorch
TensorFlow
V7 Darwin
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$280 per month
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
Certara
Founded
2008
Country
United States
Website
www.certara.com/regulatory-science/globalsubmit-ectd-submissions-software/
Vendor Details
Company Name
Lightly
Country
Switzerland
Website
www.lightly.ai/
Product Features
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization