Arkangel AI AutoML for Healthcare unlocks the power of data science without becoming a data scientist. The platform has an end-to-end process for building, deploying, and maintaining healthcare predictive algorithms at scale and without code.
Arkangel AI transforms medical data into AI algorithms without code. The platform cleans, preprocesses, trains, and deploys custom healthcare predictive algorithms without code. Use our platform to perform patient segmentation, early disease detection, mass screening, optimize patient workflow, detect fraud, among others.
Unlike other AutoML solutions, our platform is designed for the healthcare sector. We have proprietary preprocessing techniques, augmentation techniques, and training methods that outperform multi-industry AutoML solutions by 20%. Arkangel AI automates the 13 steps from data upload to model deployment in just 1 step so you can explore a new dimension in your business.
Arkangel AI AutoML for Healthcare AWS offer includes:
6 users (user limit)
3 active projects (project limit)
3TB of storage
Continuous learning
Premium support in 60 working minutes
On-hand ML Engineer to ensure success
Deploy unlimited AI models
Train unlimited AI models
We have a freemium offer if you want to try it first. If you want to try this option or want a custom need, please reach out to: aws@arkangel.ai
Highlights
Accessible & no-code: Simple and intuitive UI for anyone to leverage predictive algorithms in healthcare. Simply upload and in less than a 5 minutes train a custom algorithm for your specific use case.
Proprietary techniques: preprocessing and augmentation data techniques specifically designed for healthcare use cases. Our platform works with imaging or tabular data and supports the most powerful open source and private machine learning libraries that data scientists use, all without a single line of code.
Unmatched Healthcare Performance: Model and data processing is specific to healthcare. We clean and transform your data for modeling without code such as repeated variables, missing inputs or color channels that align to your predictive target and type of data for better results.
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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 is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one contract option covering both MLDev and MLOps use. You pay for a single bundle that includes 6 users and 3 projects. The user limit caps how many people can access the platform. The project limit caps how many separate workstreams you can run. There are no separate tiers or usage add-ons to choose from. Pricing does not scale by consumption; you commit to the fixed package. Chart review, coding, and compliance capabilities come with this bundle.
Top-of-mind questions for buyers
What counts as one user and one project against the 6-user and 3-project limits?
A user is one individual person granted access to the platform. Each person consumes one of the 6 seats. A project is a separate workstream you set up for chart review or analysis. You can run up to 3 such projects at once under this bundle.
What happens if we need more than 6 users or 3 projects?
The contract is a fixed package capped at 6 users and 3 projects. It does not scale automatically with added people or workstreams. To grow beyond these limits, you would need to contact the vendor about a larger arrangement.
Which capabilities does the MLDev and MLOps bundle include for the fixed price?
The bundle covers both development (MLDev) and operations (MLOps) use in one package. It includes chart review, diagnosis and procedure code review, revenue discovery, and compliance validation. All 6 users and 3 projects share these same capabilities under the single contract.
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