Still in the oven - AJets

Project Story: Daylight Ajets - SAF Marketplace Hackathon

Inspiration

The sustainable aviation fuel (SAF) market is rapidly growing but highly fragmented. Airlines and procurement officers struggle to efficiently evaluate SAF producers and their compliance with various regulatory frameworks. Our team was inspired by this challenge to create Daylight Ajets, a marketplace that bridges this information gap by structuring and analyzing certification data for easy comparison.

What We Built

Daylight Ajets is a comprehensive solution that extracts, structures, and analyzes data from ISCC (International Sustainability and Carbon Certification) documentation. The platform enables airlines to:

• Query and compare SAF producers based on key metrics
• Verify regulatory compliance across different markets
• Evaluate contract terms through automated analysis
• Access tabular views of all SAF producers with standardized data points

How We Built It

Our solution architecture follows a data pipeline approach:

1. Document Acquisition: We scraped ISCC certification documents from their official database
2. Data Extraction: Using LLMs to parse PDF content and extract structured information into JSON format
3. Metadata Tagging: Each document summary is enhanced with relevant metadata
4. Vector Database Storage: We leveraged MongoDB Atlas Vector Search to store and retrieve document embeddings
5. RAG Implementation: Built a retrieval-augmented generation system to answer specific compliance queries
6. Frontend Interface: Developed a user-friendly dashboard for procurement teams

Our technology stack includes:

• AWS Bedrock for LLM processing
• LangChain/LangGraph for orchestrating document workflows
• MongoDB for structured data and vector storage
• BrightData for web scraping

Challenges We Faced

Building Daylight Ajets presented several technical and domain-specific challenges:

1. Document Complexity: ISCC certifications contain dense regulatory information with inconsistent formatting, making reliable extraction difficult. We solved this by implementing a two-stage approach where we first extracted document structure before targeting specific data points.
2. Regulatory Nuance: Different markets have varying compliance requirements for SAF. Our solution needed to understand these nuances to provide accurate assessments. We addressed this by creating market-specific compliance modules that could be applied conditionally.
3. Data Accuracy: Ensuring the LLM accurately extracted and interpreted technical specifications was crucial. We implemented validation rules and confidence scoring to flag potential errors.
4. Scalability Concerns: Processing thousands of certification documents efficiently required optimization. We implemented batch processing and parallel execution to manage the computational load.

What We Learned

This hackathon provided valuable insights into:

• The complexity of sustainable aviation fuel certification and compliance
• Effective techniques for extracting structured data from technical documents
• Building RAG systems that can answer domain-specific questions
• Balancing automation with human verification for high-stakes applications

Future Directions

While our MVP demonstrates the core functionality, we envision several enhancements:

• Expanding our database to include more certification types beyond ISCC
• Implementing a chatbot interface specifically for procurement officers
• Developing a more sophisticated contract analysis system that can compare terms across providers
• Building predictive models to forecast regulatory compliance issues

Daylight Ajets represents a significant step toward transparency in the sustainable aviation fuel market, helping airlines make informed decisions that benefit both their operations and environmental goals.

Built With

• bedrock