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A biotech leader used AWS Bedrock to deploy a secure GenAI-powered summarization system, reducing document review time by 50%, improving collaboration, and enabling scientists to focus on research while keeping sensitive data protected.
PTP partnered with a biotech to deploy AWS Bedrock Agents that automated trial searches and protocol drafting, reducing design timelines, improving consistency, and accelerating clinical development.
PTP integrated machine learning and Generative AI on AWS to help a biotech company accelerate protein research, streamline collaboration, and deliver experiment-ready insights faster.
PTP implemented a secure, automated AWS Transfer Family SFTP solution for financial applications, using AWS Secrets Manager and Lambda for authentication and password rotation, with CloudWatch logging for audit-ready compliance and simpler user management.
PTP deployed a secure, scalable AWS Transfer Family (SFTP) solution for a therapeutics company, integrating Amazon S3 storage with Secrets Manager, API Gateway, and Lambda for custom authentication and credential control, enabling compliant external file transfers.
Partner with PTP to automate your infrastructure and unlock faster, more reliable delivery across hybrid cloud environments. Contact us today to get started. Scale Smarter, Not Harder Let PTP help you modernize your infrastructure and reduce downtime. Schedule a free...
PTP Solves: How AWS Direct Connect Powers Fast, Secure Cloud Data for BiotechMany biotech companies are moving operations to the cloud to access the magnitude of compute power needed to analyze the volume of data being generated with new technologies. However,...
Overview: PTP is highly regarded for its expertise and ability to facilitate operations in the cloud, especially within the biopharma and life sciences sectors. Their proficiency in AWS, cloud infrastructure, and networking—combined with their problem-solving...
At the recent Bio-IT World 2024 conference in Boston, Aaron Jeskey, Sr. Cloud Architect of PTP provided valuable insights into the development of AI and ML practices within organizations. This discussion focused particularly on the challenges and strategies pertinent...
