MOSTLY AI Synthetic Data Platform generates synthetic data that is highly representative, highly realistic, and considered 'as good as real'. While maintaining high accuracy and protecting the privacy of your subjects, you can openly process and share the generated synthetic data with others.
Overview
The MOSTLY AI Synthetic Data Platform generates synthetic data that is highly representative, highly realistic, and considered 'as good as real'. While maintaining high accuracy and protecting the privacy of your subjects, you can openly process and share the generated synthetic data with others.
Benefits
- Trust and Risk Mitigation: By utilizing synthetic data generated by the platform, you can effectively mitigate privacy risks associated with sensitive information. Comply with data protection regulations and build trust with stakeholders.
- AI Explainability: With the installation of the MOSTLY AI Synthetic Data Platform, enhance the explainability of your AI models. Leverage synthetic data that accurately represents your original data's statistical characteristics and referential integrity.
- Fraud and Anomaly Detection Training: Our product empowers you to train your fraud and anomaly detection models using the generated synthetic data. Enhance your ability to identify and mitigate potential threats effectively.
- Bias Mitigation: Leverage the power of the MOSTLY AI Synthetic Data Platform to address bias in your data. Generate diverse and representative synthetic datasets to foster fairness and inclusivity in your AI applications.
Use Cases
- Data Democratization: Empower your organization by democratizing access to privacy-compliant synthetic data. Enable stakeholders across departments to leverage valuable insights securely.
- Data Anonymization: Protect the privacy of your subjects and comply with data privacy regulations. Utilize synthetic data that is immune to re-identification attacks.
- Realistic Test Data: Generate synthetic data that accurately reflects real-world scenarios. Enable comprehensive testing and validation of your systems and algorithms.
- Fairness and Explainability: Use synthetic data to address bias and enhance transparency in AI models. Ensure fair and explainable outcomes.
- Cross-Border Data Sharing: Safely share synthetic data across borders, overcoming legal and privacy barriers. Preserve the value and representativeness of the original data.
- Data Augmentation: Amplify your datasets with synthetic data to increase sample sizes, improve model performance, and explore "what-if" scenarios.
- Data Diversity: Foster diversity in your datasets by generating synthetic data that captures a wide range of characteristics. Ensure comprehensive and unbiased analysis.
Highlights
- Structured synthetic data: Synthesize tabular synthetic data that preserves the statistical characteristics and the referential integrity of your original data.
- Privacy: Protect your subjects' privacy with synthetic data that is immune to re-identification attacks.
- Accuracy: Maintain high accuracy in your synthetic data and review QA reports with accuracy scores for each generated synthetic dataset.
Details
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Delivery option
MOSTLY AI v109 EKS installation bootstrap image
MOSTLY AI v109 EKS installation
Latest version
Operating system
Linux
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing and entitlements for this product are managed outside of AWS Marketplace through an external billing relationship between you and the vendor. You activate the product by supplying an existing license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. Subscriptions have no end date and may be cancelled any time. However, the cancellation won't affect the status of an active license if it was purchased outside of AWS Marketplace.
Vendor refund policy
N/A
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
MOSTLY AI v109 EKS installation bootstrap image
Supported services: Learn more
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Version 109 was released with the below content: :twisted_rightwards_arrows: Heterogeneous input<->output:
- Users can deliver synthetic data to any destination regardless of source type.
Additional details
Usage instructions
Instructions
Collect mostly-full-installation chart
Update parameters in EKS cloudformation template (eks-cluster.yaml)
Update parameters in value.yaml file (values.yaml)
Execute below script
if you are using simple aws cli credentials:
./bootstrap.sh <region-code> if you are using aws cli profiles:
./bootstrap.sh <region-code> <profile-name> Wait for 20-40 minutes and after that time you should be able to configure your domain name in Route53 to point to newly created ALB and access your application using https://
Resources
Support
Vendor support
MOSTLY AI provides full lifecycle support. Our offerings include:
- Support via email;
- Dedicated Customer Support teams.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Research
MOSTLY AI Platform review
Reviewed on Feb 08, 2024
Review provided by G2
What do you like best about the product?
Ability to generate synthetic data that is reliable and useful for different research purposes. The generated data retains the feature correlations.
What do you dislike about the product?
After using it few times, I was getting "unauthorized to use" message for sometime and couldn't use the platform.
What problems is the product solving and how is that benefiting you?
Low availability of original data
Leave a comment0 comments
Quang B.
A simple and straightforward tool to synthesize data
Reviewed on Jan 25, 2024
Review provided by G2
What do you like best about the product?
MostlyAI interface is easy to use. I don't have to write code to produce high-quality synthesized data. The platform also have lots of options for your data such as addressing NAs or generate new data.
What do you dislike about the product?
The generation mood is tricky to figure out how to use properly. I also would appreciate a simple process to request a higher daily usage for a short period of time. Also, lacking the ability to draw dependent relationships between features.
What problems is the product solving and how is that benefiting you?
MostlyAI allows me to quickly generate high-quality synthetic data without writing complex codes. Also, the UI is very easy to use and cut down my time in configure my data. Overall, using MostlyAI saved my almost 80% of my normal time in dealing with synthetic data.
Biotechnology
Filled in missing data
Reviewed on Dec 01, 2023
Review provided by G2
What do you like best about the product?
Data generation is relatively quick and looks reasonable.
What do you dislike about the product?
Using the platform the way I'd like was difficult at first, and I had to get more data on my own to assist the machine learning process.
What problems is the product solving and how is that benefiting you?
Getting more data for scientific experiments
Rohit K.
Great synthetic data in a timely fashion
Reviewed on Nov 07, 2023
Review provided by G2
What do you like best about the product?
The promptness of the data and telling us the accuracy percentage.
What do you dislike about the product?
It's a bit hard to understand at first but I feel like if you guys made a tutorial video or something, it would help people along.
What problems is the product solving and how is that benefiting you?
I'm trying to use this data to validate a machine learning algorithm to use for a proof of concept. I had a small snippet of data and this algorithm saved me of months of research and ethics applications
Computer Software
Simple to use, great results.
Reviewed on Sep 27, 2023
Review provided by G2
What do you like best about the product?
I love how simple the platform is to use. I was able to guide through even my my first time. I was readily able to implement the results in my usecase. The customer support executives are very friendly. I've been using the platform very frequently since my first time. Not to mention, the feature set is huge. Their cloud services are very easy to integrate.
What do you dislike about the product?
I would like if the UI elements are made better.
What problems is the product solving and how is that benefiting you?
Mostly AI helps maintain customer privacy. I can assure my customers that their sensitive data is safe with me.