The Client
A leading fintech innovator delivering transparency, auditability, and price discovery for private market assets through a secure, data-driven operating system.
The Challenges
- Manual due diligence processes were inconsistent, time-consuming, and costly.
- Extracting insights from thousands of unstructured asset documents lacked standardization.
- No verifiable proof of data integrity or provenance existed.
- Stakeholders lacked unified, role-based access to real-time, trusted data.
- Inadequate observability and security mechanisms for sensitive asset information.
- Legacy infrastructure limited multi-tenant scalability and global SaaS deployment.
The Objective
To design a cloud-native platform on AWS that automates the ingestion and validation of private equity data, enhances auditability through blockchain anchoring, and ensures secure, scalable delivery of structured insights—driving faster valuations, improved price discovery, and capital accessibility.
The Solution
- JK Tech delivered a secure, high-performance platform aligned with enterprise-grade SaaS principles using a comprehensive suite of AWS-native services to power scale, intelligence, and trust.Key Architecture Highlights:
- Cloud-Native Architecture on AWS
- Compute & Storage: Leveraged Amazon EC2, ECS for Kubernetes, and S3 for compute workloads and secure object storage.
- Data Services: RDS for PostgreSQL, ElastiCache for caching, and OpenSearch for indexing and real-time search.
- AI/ML & Document Intelligence: AWS Textract used for document parsing and data extraction; integrated with Gen-AI for labeling and insight generation.
- Security & Governance: KMS, Secrets Manager, Config, GuardDuty, WAF, and Security Hub for end-to-end platform security and compliance.
- Messaging & Integration: SQS, Transfer Family, and API Gateway facilitated decoupled data ingestion and secure integration.
- Observability & DevOps: CloudWatch and AWS Config powered monitoring and compliance tracking.
- CI/CD and Environment Strategy
A sophisticated environment strategy underpins the platform lifecycle:
- Environments: DEV → QA/UAT → STAGING → PROD, with each stage supporting gated promotion and rollback.
- Build Pipeline: Fully automated build queues using GitHub Actions, integrated with AWS CodeBuild and Terraform for IaC provisioning.
- Testing Automation: Unit, integration, and regression tests automatically triggered across environments.
- Release Management: Versioned releases with manual QA checkpoints and security review gates.
- Innovative Features Built
- AI-based Data Labeling & Extraction Engine with support for manual QA correction.
- Blockchain-based Audit Trail for every document and user interaction.
- Conversational AI Interface for querying structured/unstructured asset data.
- Federated Data Storage: Retains data within client-owned AWS buckets while still integrating with centralized services.
- Cloud-Native Architecture on AWS
Business Process Diagram
The Benefits
- 80% reduction in manual document processing effort via AI and AWS Textract automation.
- 30% faster valuation cycles through streamlined data extraction and blockchain verification.
- End-to-end auditability with blockchain-anchored logs and interactions.
- Scalable deployment through region-aware AWS infrastructure and container orchestration.
- Enhanced security posture using AWS-native security tooling including GuardDuty, KMS, and Security Hub.
- Future-readiness enabled through modular APIs, Gen AI integration, and federated storage architecture.
- Cost optimization achieved via smart use of AWS services like EC2 Spot Instances, S3 lifecycle policies, and ElastiCache.
