Biosynth and AWS Cloud Transformation & GxP Compliance.
Life Sciences
Global
Biosynth is a leading life sciences company specializing in complex chemical synthesis and advanced biotechnological processes.
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They provide crucial materials for pharmaceutical, diagnostic, and research applications, making precision, compliance, and reliability paramount in their operations.
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As a global entity, Biosynth required a robust, scalable, and compliant cloud infrastructure to support their growth and innovation initiatives.
Solutions by Hex Networks
Hex Networks partnered with Biosynth to deliver a comprehensive AWS cloud transformation solution, focusing on configuration, migration, monitoring, and compliance. The engagement was structured around several key phases:
AWS Configuration & Setup
Hex Networks began by designing and implementing a custom AWS architecture tailored to Biosynth's specific needs. This included:
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VPC Design — Creating a secure Virtual Private Cloud (VPC) environment with multiple subnets for isolation and control.
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IAM Configuration — Implementing Identity and Access Management (IAM) policies to ensure secure and controlled access to AWS resources.
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Storage and Database Solutions — Configuring scalable storage solutions (e.g., Amazon S3) and databases (e.g., Amazon RDS) to support Biosynth's data-intensive operations.
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Seamless Migration
Hex Networks led the migration of Biosynth's critical applications and data to AWS, ensuring minimal disruption. This phase involved:
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Data Migration Strategy — Developing a detailed data migration strategy to securely transfer large volumes of sensitive data.
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Application Rehosting and Refactoring — Rehosting existing applications and refactoring others to fully leverage AWS-native services.
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Cutover Planning — Coordinating a cutover plan to switch from on-premise to AWS with minimal downtime, ensuring continuity of Biosynth's operations.
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Ongoing Monitoring & Optimization
To ensure the ongoing performance, security, and cost-effectiveness of the AWS environment, Hex Networks implemented:
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CloudWatch and CloudTrail — Setting up AWS CloudWatch for real-time monitoring and AWS CloudTrail for logging and auditing AWS activity.
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Cost Management – Regularly analyzing AWS usage to identify opportunities for cost savings, ensuring Biosynth maximizes their cloud investment.
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Performance Tuning – Continuously optimizing resources and configurations to ensure the highest performance and availability for critical workloads.
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GxP Compliance in the Cloud
Understanding the importance of compliance in the life sciences industry, Hex Networks worked closely with Biosynth to ensure their AWS environment met all necessary GxP requirements. This included:
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Validation and Qualification – Assisting in the validation and qualification of the AWS environment to meet GxP standards, ensuring that all processes were documented and traceable.
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Compliance Monitoring – Implementing continuous monitoring to ensure ongoing compliance with GxP and other regulatory requirements.
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Audit Preparation – Providing support during audits, including the generation of necessary compliance reports and evidence.
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Knowledge Transfer & Documentation
Hex Networks recognized the importance of enabling Biosynth's internal teams to manage and evolve their AWS environment independently. To this end, the engagement included:
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Comprehensive Documentation – Delivering detailed documentation covering all aspects of the AWS environment, including configuration, best practices, and compliance procedures.
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Training Sessions – Conducting hands-on training sessions for Biosynth's IT and compliance teams, focusing on AWS management, security, and GxP compliance.
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Ongoing Support – Providing continuous support and knowledge transfer as needed, ensuring that Biosynth's team remains confident and capable in managing their cloud infrastructure.
Intelligent Image Analysis Pipeline
Each uploaded photograph flows through a parallel quality-and-safety stage before analysis. Amazon Rekognition scores every image for sharpness, brightness, relevance, and resolution, while dedicated detection steps flag people or personally identifiable content and surface obvious risk indicators. Low-quality or irrelevant images are caught early, so the AI spends its effort only on usable evidence.
Qualifying images are then analyzed by Amazon Bedrock, which produces a detailed property assessment - condition, identified issues, risk factors, and underwriting considerations - and assigns each individual finding a confidence score from 0 to 100. Findings that fall below a configurable threshold are suppressed, so noisy “maybes” never reach the final report.
The Decision Gate: Confidence-Based Automation
At the heart of the platform is a decision gate that evaluates every inspection against six checks:
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Confidence,
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Image quality,
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Internal consistency,
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Risk severity,
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Privacy, and
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insurability.
Per-finding scores are rolled up into a single inspection level confidence number and a HIGH / MEDIUM / LOW certainty band, giving reviewers and downstream systems both granular and at-a-glance signals.
When all six checks pass, the inspection is approved automatically and the carrier is notified through Amazon SNS. If any check fails, the inspection is routed to a QA queue on Amazon SQS and tagged HIGH, MEDIUM, or LOW priority based on which checks failed - so reviewers naturally pick up the most urgent cases first.
A configurable mode lets Viewspection run fully automated or send every inspection to a human, with no code change.
Automated Report Processing
Prior inspection reports rarely arrive as clean data - they are PDFs. The platform ingests these automatically, extracts their text and tables with Amazon Textract, and breaks the content into semantically meaningful chunks.
Each chunk is embedded with Amazon Titan Embeddings and indexed for retrieval, turning static documents into a searchable knowledge base for the property.
Historical findings become instantly available to inform new inspections and to detect discrepancies between what a report claimed and what the images now show.
Unified RAG: Retrieval Across Reports and Images
A defining feature of ViewSignals is that it treats images and documents as one body of knowledge. The AI analysis of every image is converted into text, embedded with Amazon Titan Embeddings, and indexed into the same Amazon OpenSearch Serverless vector store that holds the report chunks.
Because both sources share a single property-scoped index, any retrieval for a property surfaces both image-derived and document-derived context. Every subsequent inspection of that property automatically benefits from the accumulated history of all previously processed images and reports - the system grows more informed about each property over time.
A Serverless Architecture Built for Scale & Cost
The entire platform is serverless. AWS Lambda and AWS Step Functions run the processing pipeline, Amazon S3 stores media and outputs, Amazon DynamoDB holds inspection state, and Amazon API Gateway exposes the submission and review APIs. There are no servers to patch or scale; the system scales elastically with inspection volume and costs nothing when idle.
Cost is treated as a first-class concern. Every Bedrock and Titan call records its token usage, which is priced and written back onto the inspection record as a stage-by-stage cost breakdown. Viewspection gets a precise per-inspection dollar figure, making it straightforward to price the service to carriers and to confirm that model or prompt changes actually reduce cost.
Security, Privacy & Human Oversight
Privacy is enforced in the pipeline itself. Dedicated detection flags faces and personally identifiable information, and any inspection touching privacy-sensitive content is automatically routed for human review rather than auto-approved. Access to AWS resources is governed by least-privilege IAM, and all processing runs inside a controlled AWS account.
For the cases that need judgment, a review dashboard gives experts a clear queue ordered by priority. When a reviewer corrects or confirms an AI result, both the original output and the human decision are captured - building an ever-growing, labelled dataset of ground truth that feeds future evaluation and model improvement.
Results & Impact
A successful digital transformation empowering Biosynth to meet their business objectives while maintaining strict compliance standards.
Key outcomes included:
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Enhanced Scalability – Biosynth now has a scalable cloud infrastructure that supports their global operations and future growth.
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Operational Efficiency – The migration to AWS reduced operational complexities, enabling faster time-to-market for new products.
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GxP Compliance – Biosynth's AWS environment is fully compliant with GxP regulations, ensuring they meet industry standards.
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Empowered Teams – Biosynth's internal teams are now equipped with the knowledge and tools necessary to manage their AWS environment effectively.
Empowering Solutions
Hex Networks' ongoing engagement with Biosynth demonstrates the value of a strategic partnership in navigating complex cloud transformations.
By focusing on a tailored AWS configuration, seamless migration, rigorous monitoring, compliance, and knowledge transfer, Hex Networks helped Biosynth achieve a secure, compliant, and future-proof cloud environment.
This collaboration highlights Hex Networks' expertise in not only delivering technical solutions but also empowering clients to sustain and evolve their cloud operations independently.
