NewPage Rapid AI Proof of Concept - Life Sciences on AWS

Most life sciences companies have more AI ideas than evidence about which ones deserve investment. NewPage Rapid AI Proof of Concept gives you a structured, fixed-length engagement that tests each idea in 4 to 6 weeks with real data and real users - so you can fund what works and stop what does not, early and cheaply.

Week 1 - Scope and Align Your team and NewPage forward deployed engineers agree on the scope, data access, target users, and 2 or 3 measurable success criteria - all documented in writing before any build work begins.

Weeks 2 to 4 - Build and Test NewPage engineers build a working prototype on Amazon Bedrock inside your own AWS account, using your real data. The prototype is tested with actual users against the agreed success criteria throughout this phase.

Weeks 5 and 6 - Evaluate and Decide You receive a complete results report that includes:

• Performance against each success criterion
• A monthly AWS cost estimate for running the solution
• A clear go, adjust, or stop recommendation
• An MVP plan and cost estimate when the recommendation is go
• Full handover of all code, prompts, and architecture notes

Every engagement produces a concrete, evidence-based outcome:

• Go - The idea proved viable. You receive an MVP plan with a cost estimate and a clear path to production.
• Adjust - The idea showed promise but needs refinement. You receive specific guidance on what to change.
• Stop - The idea did not meet success criteria. You save months of investment by learning this in weeks, not quarters.

All intellectual property - code, prompts, and architecture documentation - is handed over to your team at the end of the engagement regardless of the outcome.

All work is performed inside your own AWS account and under your existing governance policies. Your data stays in your environment throughout the engagement, and you retain full ownership and control of every asset produced. The solution is built on Amazon Bedrock, giving you access to leading foundation models with the security and scalability of AWS infrastructure. Because NewPage engineers work directly within your account, the PoC environment inherits your existing network controls, IAM policies, and logging configurations from day one.

NewPage focuses exclusively on life sciences companies where AI use cases span drug discovery support, clinical trial optimization, regulatory document processing, medical affairs, and commercial operations. The fixed-length, evidence-driven format is built for organizations that need to validate AI ideas quickly while operating within the rigorous data and compliance requirements of the life sciences industry.

• Fixed scope and timeline - No open-ended engagements or scope creep. You know exactly what you are getting and when.
• Real data, real users - Prototypes are tested in your actual environment, not with synthetic demos.
• Evidence-based decisions - Every engagement ends with a documented recommendation grounded in measurable results.
• Low-risk exploration - Ideas that do not work are stopped in weeks, preserving budget for ideas that do.
• Full IP handover - You own everything produced, with no vendor lock-in on the code or architecture.
• Your environment, your controls - Work happens inside your AWS account under your governance policies, so sensitive data never leaves your perimeter.