NewPage Solutions - Generative AI & Agentic AI for Life Sciences

NewPage Solutions delivers production-ready generative AI and agentic AI systems for life-sciences organizations, eliminating stalled pilots with pharma-grade governance on AWS.

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NewPage Solutions - Generative AI and Agentic AI for Life Sciences

NewPage Solutions builds generative AI and agentic AI systems that move life-sciences organizations from AI pilots to production. Our embedded delivery teams work inside client environments under existing data, governance, and processes to accelerate time-to-value while maintaining regulatory rigor.

Structured Engagement Model

Engagements follow a proven three-phase approach designed to reduce risk and deliver measurable outcomes at every stage:

Phase 1: Discovery and Use-Case Prioritization (2-3 weeks)

Assess your current data landscape, governance frameworks, and AI readiness
Identify and prioritize high-value use cases aligned to business objectives
Deliverables: Use-case prioritization matrix, validated architecture design, engagement roadmap

Phase 2: Rapid Prototyping (3-4 weeks)

Build working prototypes inside your environment using your data and governance controls
Validate feasibility, accuracy, and compliance alignment with stakeholders
Deliverables: Functional prototype, performance benchmarks, compliance review documentation

Phase 3: Production Deployment (4-8 weeks)

Harden the solution for production with full auditability, role-based access, and human-in-the-loop gates
Integrate with existing workflows and train internal teams for ongoing operation
Deliverables: Production-deployed system, operational runbook, knowledge transfer sessions

All engagements are scoped on a fixed-fee basis with milestones tied to deliverables at each phase.

Core Offerings

Agentic Document-Intelligence Pipelines: Multi-agent orchestration for regulated content workflows including label-change detection, document comparison, and marketing-asset impact analysis.
GenAI Insight and Reporting Assistants: Purpose-built assistants for medical affairs and commercial teams that surface actionable insights from complex data.
AI Forecasting Agents and Decision Engines: Commercial analytics solutions that leverage AI agents to improve forecasting accuracy and support data-driven decisions.
AI-Assisted Rapid-Prototyping Studios: Operated inside client environments to quickly validate use cases and move from concept to working solution.

Built on AWS with Pharma-Grade Governance

Every solution is architected on AWS services purpose-selected for regulated life-sciences workloads:

Amazon Bedrock with governed LLM-gateway patterns for secure, auditable model access
Amazon SageMaker for model training, tuning, and lifecycle management
AWS Lambda and Amazon ECS/AWS Fargate for scalable, serverless processing
Amazon S3 for secure document storage with encryption at rest
Amazon RDS/PostgreSQL for structured data serving layers

All deployments include human-in-the-loop review gates, MLR-adjacent workflows, full auditability, and role-based access controls to meet the compliance expectations of pharmaceutical and biotech organizations.

Prerequisites and Client Responsibilities

Active AWS account with appropriate service access
Designated product owner and stakeholder availability for review gates
Access to relevant data sources and documentation
Internal compliance team availability for governance alignment

Out of scope: Regulatory submissions (e.g., FDA filings), GxP-validated system qualification, and long-term managed services (available as a separate engagement).

Why NewPage Solutions

NewPage Solutions specializes exclusively in life sciences, bringing deep understanding of the regulatory, compliance, and operational requirements unique to pharmaceutical and biotech organizations. Our professional services model ensures every solution is tailored to your specific environment and governance frameworks - delivering production-ready AI systems rather than generic proofs of concept. Embedded delivery teams work alongside your stakeholders so that knowledge transfer happens continuously, not just at project close.

Get Started

Ready to move from AI pilots to production? Begin with a Phase 1 Discovery and Use-Case Prioritization session to identify your highest-value opportunities and build a clear roadmap. Contact NewPage Solutions through AWS Marketplace to schedule your discovery session.

Agentic document-intelligence pipelines with multi-agent orchestration for label-change detection, document comparison, and marketing-asset impact analysis. Structured engagements move from discovery to production deployment in as few as 9 weeks, with human-in-the-loop review gates and full auditability built in from day one. Every phase includes named deliverables so progress is measurable and traceable.
Life-sciences-exclusive specialization with embedded delivery teams that work inside your environment under your existing data, governance, and compliance frameworks. Purpose-built for regulated environments, ensuring production-ready AI systems rather than generic proofs of concept that stall after pilot phase. Engagements include stakeholder alignment, architecture design reviews, and compliance review checkpoints at every stage.
Pharma-grade governance on AWS including governed LLM-gateway patterns on Amazon Bedrock, MLR-adjacent workflows, and role-based access controls. Milestone-based engagement structure delivers validated architecture design, working prototypes with performance benchmarks, production handoff with operational runbooks, and full knowledge transfer - giving your team the documentation and capability to maintain and extend the solution independently.

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Pricing

Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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Support

Engagement Support

NewPage Solutions provides professional services delivery with embedded teams that work within your environment under your existing governance and processes. Contact support@newpage.io .

During Active Engagements:

Each engagement includes a dedicated delivery lead who serves as your primary point of contact throughout all phases. Communication channels, cadence, and escalation paths are established during the Discovery phase and tailored to your organization's preferences.

Engagement Structure:

Phase 1 - Discovery and Use-Case Prioritization (2-3 weeks): Includes stakeholder alignment sessions, architecture design reviews, and a prioritized roadmap
Phase 2 - Rapid Prototyping (3-4 weeks): Includes working prototype demonstrations, performance benchmarks, and compliance review checkpoints
Phase 3 - Production Deployment (4-8 weeks): Includes production handoff, operational runbook, and knowledge transfer sessions

Client Responsibilities:

Assign a product owner with decision-making authority
Provide access to relevant data sources and AWS environment
Ensure compliance team availability for governance review gates

Post-Engagement:

Knowledge transfer and operational documentation are delivered as standard artifacts to ensure your team can maintain and extend the solution independently.

For inquiries about new engagements, scoping discussions, or support questions, please contact NewPage Solutions directly through AWS Marketplace. Post-Engagement: