Sold by: Scinr AI
Agentic AI Memory Platform for Life Sciences
5
Overview
Newton ingests data from your existing systems, no ETL project, no data wrangling. It structures, links, and stores everything in a domain-specific knowledge engine. Your team gets a single source of truth. Your AI tools get structured, auditable memory.
- Connect Data: Plug into your ERP, QMS, LIMS, RIMS, document repositories, and regulatory sources. Ingestion starts in days, not months.
- Build Memory: Newton applies custom domain models, extracts entities, aligns them to relevant ontologies, resolves duplicates, and maps every relationship. Every record traced to its source.
- Deploy agents: Your agents now have domain context. Ask complex cross-system questions. Run regulatory checks. Flag data anomalies. Generate traceable outputs.
Highlights
- Hybrid Contextual Memory
- Domain Semantics
- Agent-Ready API
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 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.
Dimension | Description | Cost/month |
|---|---|---|
Micro Workspace | Built-in Graph and Document Storage. Agentic integration up to 5 end users. Compute: 2 GB RAM, 8 GB storage, 1 vCPU, 1 worker (10 worker-hrs included) | $406.00 |
XSmall Workspace | Built-in Graph and Document Storage. Agentic integration up to 10 end users. Compute: 4 GB RAM, 16 GB storage, 1 vCPU, 1 worker (20 worker-hrs included) | $811.00 |
Small Workspace | Built-in Graph and Document Storage. Agentic integration up to 15 end users. Compute: 8 GB RAM, 32 GB storage, 2 vCPU, 2 workers (40 worker-hrs included) | $1,623.00 |
Medium Workspace | Built-in Graph and Document Storage. Agentic integration up to 25 end users. Compute: 16 GB RAM, 64 GB storage, 2 vCPU, 4 workers (80 worker-hrs included) | $3,246.00 |
Dimensions summary
You choose a workspace size, and the four options scale together as a tier ladder. Micro, XSmall, Small, and Medium each raise the same set of limits at once. As you move up, you get more compute (RAM, storage, vCPU), more workers, more included worker-hours, and support for more agentic-integration end users. All tiers include built-in graph and document storage. Pick the size that matches your user count and processing load. Each is billed as a contract per host.
Top-of-mind questions for buyers
A worker runs a processing job, and a worker-hour is one hour of that work. Each tier includes a fixed pool: 10, 20, 40, or 80 worker-hours. The description does not state what happens beyond the included pool, so confirm overage handling with the vendor before committing.
You buy a workspace as a contract per host. Each host bundles fixed compute (RAM, storage, vCPU), a set number of workers, included worker-hours, and built-in graph and document storage. It also supports agentic integration for a capped number of end users, from 5 up to 25 depending on the tier.
Each tier caps agentic-integration end users: 5, 10, 15, or 25. Moving to a larger workspace raises that cap along with compute and worker-hours. The listing does not state whether the change is automatic, so plan to select the tier matching your expected user count.
www.scinr.com
Helpful?
Vendor refund policy
All sales are final; we do not offer refunds. Exceptions apply only where AWS Marketplace mandates them: cancellations within 48 hours of purchase, free trial conversion billing errors, and software metering errors. To request an eligible refund or cancellation, contact support@scinr.com . All other refund requests are evaluated at our sole discretion and are not guaranteed.
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Reach to us at: support@scinr.com
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
reviewer2917890
Integrated knowledge layer has transformed complex regulatory dossiers into fast, accurate agent workflows
Reviewed on Oct 26, 2026
Review from a verified AWS customer
What is our primary use case?
I use this for a document and regulations knowledge layer for agentic workflows for pharmaceutical dossiers.
How has it helped my organization?
I find it simplifies a very complex use case effectively. It understands dossier registration regulations and provides agents with the right context to apply regulations in just a few seconds. It is also capable of reviewing affected sections in thousands of dossier pages to submit changes in a dossier affected by a change in a production process.
What is most valuable?
The AI knowledge layer provides life sciences context and reasoning to agentic workflows.
What needs improvement?
There is none so far.
For how long have I used the solution?
I have used this solution for 1 year.
Which solution did I use previously and why did I switch?
I used a vector RAG infrastructure that did not work.
What's my experience with pricing, setup cost, and licensing?
The setup cost is perfectly affordable compared to the value that it delivers.
Which other solutions did I evaluate?
I considered alternate solutions, but Newton is focused on life sciences, so it is much more accurate than other platforms.
What other advice do I have?
It is perfect to add an integrated knowledge layer to multiple agentic use cases in life sciences.