Case Study

ChemCopilot: AI-Powered Chemistry SaaS Platform Case Study

Background

ChemCopilot is an AI platform for chemical formulation, enabling automated BOMs, sustainability, compliance, and real-time collaboration. Founded by Ananth Avva and Jonathan Woo.
Rambunct built ChemCopilot’s AI-powered chemistry platform using a full AWS serverless stack—Lambda, API Gateway, DynamoDB, and Bedrock agents—automating BOM generation and delivering 85% faster productivity for chemical engineers.

The Challenge

The chemical formulation industry continues to struggle with outdated, manual workflows that hinder speed, accuracy, and innovation. Chemists face significant inefficiencies due to fragmented tools, lack of automation, and infrastructure-heavy systems that are not equipped for modern AI-driven processes. These challenges collectively slow research progress and obstruct digital transformation across the sector.
  • Manual workflows and legacy tools caused delays, errors, and high maintenance demands.
  • Siloed knowledge and poor collaboration slowed research and innovation.
  • Monolithic systems and limited AI integration hindered scalability and modernization.
  • Lack of automation in compliance, safety, and data processing blocked digital transformation.

Our Solution

The solution adopts a serverless AWS architecture to deliver secure, scalable, and intelligent transcription. It combines AI/ML tools, real-time collaboration, and compliant data handling to streamline development and automate key workflows.

  • Scalable, Secure Architecture: AWS Amplify Gen2, API Gateway, Lambda, AppSync, Cognito, DynamoDB, RDS, S3, and CloudFront enable rapid development, real-time collaboration, and multi-tenant security.​
  • AI-Driven Intelligence & Compliance: Bedrock Agents, custom AI models, intelligent agents, and compliance APIs deliver advanced formulation insights, safety checks, and real-time analytics with SageMaker, Textract, Comprehend, and QuickSight.​
  • Advanced Analytics & ML: SageMaker, Textract, Comprehend, Rekognition for ML; QuickSight & Kinesis for real-time analytics and dashboards. ​

The Result

The implementation delivered a transformative leap for chemical professionals, streamlining analysis, boosting innovation cycles, and eliminating operational friction. ​
  • 85% reduction in BOM creation time using AI-driven generation ​
  • High Performance & Availability: 99.9% uptime with serverless architecture, <1s global response via CloudFront, and 100% audit readiness with automated tracking. ​
  • 90% faster deployment cycles via automated CI/CD workflows
  • AI-Enhanced Accuracy & Speed: 95% accuracy in chemical validation, 60% faster compliance checks, and 40% better formulation optimization through intelligent agents. ​
  • Efficiency & Cost Savings: 70% boost in chemist productivity and 80% lower infrastructure costs compared to on-premise systems. ​
  • Seamless Collaboration: Real-time, distributed R&D team coordination enabled by integrated cloud-native tools. ​