Scientific Data Platform for Aspeya Switzerland SA • 2025
500 hours • Central research hub for chemical & biological cannabis investigations
Aspeya Switzerland SA needed a better way to manage their scientific investigation of new drugs in the chemical and biological Cannabis space. Researchers were working with fragmented data from internal experiments and external studies. Key information on aerosol and smoke chemistry, in silico tox results, constituent analysis, and stability data lived in disconnected sources, making it hard to get the full picture, share findings, or generate timely reports on new compounds, strains, and products.
A central, collaborative platform was required — one that could ingest heterogeneous datasets, support dynamic exploration, enable team collaboration with proper access controls, and integrate external knowledge bases.
ArangoDB: Multi-model graph database used as the core for storing complex scientific relationships between compounds, studies, stability data, and external references. Enables fast traversals and flexible schema for research data.
Node.js (Backend / API): Handles all server-side logic, REST/GraphQL APIs, data ingestion pipelines, and integration with external sources (ChEMBL, Labstat, etc.).
React.js (Frontend): Modern UI for the research dashboard, dynamic collections, advanced graphics, chat-like search, and collaboration baskets. Built for scientists with focus on usability and performance.
AWS (Cloud): Cloud infrastructure for hosting, scalable storage, and reliable deployment of the entire platform with high availability for R&D teams.
Graph Database: Core modeling for interconnected research entities (compounds, assays, publications, stability profiles) with powerful query capabilities.
Real-time Sync: Live updates across the platform for new data, external imports, and collaborative changes visible to all authorized users instantly.
Regular deliveries with defined milestones. Emphasis on usability for R&D teams and scientific data integrity.
Both Q3 and Q4 phases completed. The CannaBorn platform is now in active use as the central hub for Aspeya’s cannabis-related chemical and biological research, supporting internal investigations and the integration of external studies.
This project showcases the A-Team’s strength in scientific data platforms and knowledge management: turning scattered, complex research data into a unified, searchable, and collaborative environment. It directly supports deeper insights, faster reporting, and better cross-team collaboration in a highly specialized R&D domain — exactly the kind of non-standard, high-impact work we thrive on.