Leaflink: Financial automation for wholesale marketplace
Duration: 1 year
Customer location: USA, New York
Integrations:
Dedicated team behind the project
Project Manager
Python Developer
Python Developer
Python Developer
The client
LeafLink is a leading B2B marketplace that streamlines operations for cannabis brands and retailers. Beyond marketplace functionality, the company provides financial tools – including cash management, credit, and risk assessment solutions – that help partners scale safely and efficiently.
Client achievements:
LeafLink has raised $479M in total investments, with $100M from its latest Series D round closed in February 2023. Read more
LeafLink facilitates over $4.5 billion in wholesale cannabis transactions each year, making it the leading B2B marketplace in the industry.
LeafLink was featured by Forbes among the fastest-growing private companies expected to surpass the $1 billion valuation mark.
The company earned the Green Market Report Award for Best Fintech in Cannabis, highlighting its innovation in financial infrastructure for regulated markets. Read more.
The challenge
LeafLink needed to scale its financial operations while maintaining reliability and compliance across multiple U.S. states. Rapid growth in transaction volume required new levels of automation for reporting, communication, and credit risk management. The engineering team sought additional backend capacity to optimize data flow and enable integration with third-party financial systems such as LexisNexis.
What was done
Ralabs’ Python engineers joined LeafLink’s internal team to enhance the platform’s financial automation layer and data infrastructure. The team designed and maintained microservices supporting automated sales reports, transactional communications, and credit evaluation workflows. Core data pipelines were restructured for better performance, scalability, and fault tolerance. LexisNexis integration was implemented to enable real-time risk assessment, ensuring secure and compliant financial operations.
Implemented features:
Automated spreadsheet ETL and generation – produced monthly sales data for retailers and brands.
Automated communication service – generated and sent order confirmations, invoices, and payment reminders.
Optimized data pipelines – improved performance, reliability, and maintainability.
LexisNexis integration – enabled faster, more reliable financial risk assessment for lenders.
Results
01
Streamlined financial operations with new microservices
Automated key financial workflows through new microservices and optimized data pipelines.
02
Lowered reporting burden for large retail networks
Reduced manual reporting and communication workload for thousands of retailers and brands.
03
Strengthened system performance at massive scale
Improved architectural scalability and software reliability under billion-dollar transaction volumes.
04
Boosted credit risk checks with LexisNexis
Enabled faster and more accurate credit risk evaluation with LexisNexis integration.
Tech stack

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