Driving AI sovereignty, data transparency, and operational excellence for regulated markets.
Customer
Bridgetower Capital is a global leader in Web3 and AI technology, specializing in blockchain validation, AI model development, and data authenticity solutions. Operating in highly regulated markets such as the US, UK, UAE, and Switzerland, Bridgetower empowers enterprises with innovative technologies, ensuring data integrity, model authenticity, and compliance with complex regulatory standards.
Executive Summary
Bridgetower Capital faced significant challenges maintaining AI sovereignty and ensuring transparent data lineage in its highly regulated operations. Partnering with InterVision and leveraging AWS technologies, Bridgetower implemented a secure, scalable solution ensuring full control over AI model life cycle, compliance with regulatory standards, and auditable data processes. The collaboration achieved measurable success, including enhanced security, full traceability, and improved operational efficiency.
The Problem:
Bridgetower’s sophisticated operations presented critical challenges related to data security and regulatory standards. Key issues included:
- Data obfuscation and transformation: Sensitive data needed protection during collection and processing, while ensuring accuracy for AI model training.
- AI model versioning: Tracking the life cycle of AI models and their decision-making history was essential for transparency and compliance.
- Immutable data records: Bridgetower sought a system that offered a robust audit trail and verifiable records of all AI-related decisions.
- Blockchain integration: Seamless interaction between blockchain technology and AI operations was required.
- Regulatory compliance: The solution needed to meet rigorous data protection and reporting standards without compromising performance
Failing to solve these issues would undermine Bridgetower’s regulatory standing, operational agility, and customer trust.
Our Solution
InterVision, in collaboration with AWS, delivered a state-of-the-art platform to resolve these challenges. The solution combined advanced cloud, AI, and blockchain technologies to enhance security, streamline operations, and ensure compliance. Key aspects included:
- Data Ingestion and Transformation: Sensitive data was securely ingested from Bridgetower’s systems into AWS. Using AWS S3, data was processed through clear stages—Raw, Stage, and Processed—all while ensuring traceability.
- AI Model Versioning: Amazon SageMaker and Amazon Bedrock supported the fine-tuning and real-time validation of models. Blockchain-enabled version tracking ensured models were recorded immutably for full accountability.
- Data Lineage and Transparency: AWS DynamoDB and blockchain smart contracts captured every step in the data transformation and decision-making processes. AWS Lambda integrated these systems seamlessly, augmenting model prompts and enabling context retrieval.
- Blockchain Security: A Bridgetower Avalanche Subnet validated blockchain transactions, while smart contracts stored secure, anonymized records of all decisions and transformations.
- Regulatory Compliance: The implementation included a compliance dashboard for visibility into operations. AWS Key Management Service (KMS) ensured data encryption both in transit and at rest, reinforcing data confidentiality.
- Monitoring and Alerts: AWS CloudWatch provided real-time monitoring and alerts to identify anomalies and protect operational integrity.
InterVision’s tailored solution successfully unified AI and blockchain technologies into a scalable, regulatory-compliant system.
The Results
The solution delivered measurable improvements for Bridgetower Capital, achieving mission-critical objectives. Outcomes included:
- Enhanced traceability: Full transparency was achieved with immutable logs capturing data transformations, AI model life cycle, and real-time inference endpoints
- Regulatory compliance: Bridgetower gained robust reporting capabilities, ensuring compliance with global data protection standards, including GDPR
- Improved security: Blockchain integration and AWS data encryption eliminated vulnerabilities, safeguarding sensitive data throughout AI operations
- Operational efficiency: Automating model versioning and data lineage reduced manual processes, freeing resources and boosting productivity
- Scalability: The solution’s architecture allowed Bridgetower to scale AI workflows seamlessly across markets, maintaining performance and compliance
Bridgetower’s CEO remarked, “This partnership has solidified our position as a global leader in the convergence of blockchain and AI. InterVision and AWS provided unparalleled expertise and innovation.”
