Sold by: DATAIZE AI
Deployed on AWS
Free Trial
AWS Free Tier
Insight on Oncology (IO) is an autonomous digital lab for cancer research that combines Human-Controllable AI with an Autonomous AI Agent to connect research data, analysis, and manuscript drafting.
Overview
Insight on Oncology (IO) is available through private pricing only. The public listing price is a placeholder; actual pricing is determined by the agreed contract terms.
Developed by DATAIZE AI, Insight on Oncology (IO) is an Autonomous Digital Lab for Cancer Research that combines Human-Controllable AI with an Autonomous AI Agent. It brings data preparation, study design, analysis, and manuscript drafting into one research environment, with researchers able to review and direct the work throughout the process.
Researchers can start with built-in public datasets, including TCGA, I-SPY2, MEPS, and NHANES, or upload their own Excel or CSV files. Given research objectives in natural language, IO identifies relevant datasets, connects and standardizes tables and associated codebooks, and plans and executes workflows covering cohort creation, statistical and AI/ML analyses, result validation, and manuscript drafting.
IO supports the iterative nature of research. Researchers can refine questions, adjust cohorts and variables, and redirect analyses while retaining existing research context and results. IO re-executes only the necessary steps and records data sources, variable derivations, analytical methods, and change histories to support transparent, traceable, and reproducible research.
Highlights
- Autonomous AI with Researcher Control: Let AI plan and execute research workflows while researchers review progress, intervene, and adjust direction at any time.
- Connected Research Data and Analysis: Use built-in public datasets or upload Excel or CSV files, and connect data preparation, cohort creation, statistical and AI/ML analyses, and manuscript drafting.
- Traceable, Iterative Research: Refine studies without restarting the entire workflow, preserve existing context and results, and track data sources, methods, and changes.
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
Free trial
Try this product free according to the free trial terms set by the vendor.
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/12 months |
|---|---|---|
Platform Users | insight on oncology user | $120,000.00 |
Vendor refund policy
Subscriptions and contracts for Insight on Oncology are non-refundable once the contract term begins, as access to the platform and its multi-agent workflows is provisioned immediately. We are committed to customer satisfaction if you experience any issues, please contact support@dataize.io and we will work with you to resolve them. Refund requests will be evaluated on a case-by-case basis.
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.
Support
Vendor support
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.
Similar products
A synthetic dataset with 25,000 oncology patient records for machine learning, includes attributes like PatientID, Age, Gender, CancerType, TreatmentRegimen, and outcomes. Designed for predictive modeling and analysis of treatment efficacy and socioeconomic impacts on care. Supports advanced algorithms for personalized medicine and optimizing cancer treatment strategies.
High-quality de-identified EHR data, showcasing comprehensive patient journeys and physician narratives in Dermatology. This data provides a comprehensive picture of the patient's journey and physician narrative throughout their hospital stay. With approximately 4 million+ unique patient records, the participating hospitals offer unique insights into variations in care across healthcare network hospitals and clinics. All sample data is de-identified and does not contain PHI.
This listing consists of a 3 month sample for 500,000 random patients with a clinical encounter.
The ISC Quantum Ignition Program is a structured, four-phase initiative that guides organizations from initial awareness to Proof-of-Concept (PoC) in quantum computing adoption. Phase 4: Proof-of-Concept Implementation focuses on designing, developing, and testing a quantum solution for a high-priority use case. Over 6–12 weeks, a dedicated technical team builds internal capabilities, evaluates quantum performance against classical benchmarks, and explores integration strategies. This phase delivers a working PoC, comprehensive findings, and clear recommendations for scaling and future deployment.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.