Projects
Partners
Technologies
How we work
Projects
Partners
Technologies
How we work
Health Science
& Bio Informatics
CosMXDA
Cloud platform for single-cell spatial data analysis
DSPDA
Spatial profiling analysis for high-resolution microscopy data
PDX & NGX Portal
LIMS for large-scale PDX and NGX data analysis
REDDA
Tool for research data annotation and workflow automation
RDC
Centralized research data hub for integration and collaboration at BMS
EuropaDX
Flexible SaaS platform for research data and advanced analytics
Solar energy
Energy Assurance Toolkit
System for solar system maintenance and performance monitoring
GPP
Automated proposal generation for solar energy projects
PV Fast
AutoCAD add-on for fast, accurate solar system design
PV Sim
Solar system performance simulation and optimization tool
SMS
Real-time component-level monitoring for solar energy systems
Transportation
& Logistics
AED Portal
Automated document registration and compliance for rail transport
Baltic Lines
Nationwide platform for managing intercity and international coach transport
BusTicketPro
Cloud-based ticketing system for coach operators and terminals
BUKS System
Nationwide railway ticketing system for unified access and sales
BusEurope
Pan-European coach ticketing and booking integration platform
TOKS
Online system for managing terminal operations and ticket sales for TOKS
Transcontainer Portal
Digital platform for container transport documentation and management
Other Projects
ADV
Warehouse management system for efficient, customs-compliant logistics
AWO
Online platform for streamlined multi-partner supplier collaboration
EDI
Integrated EDI platform for streamlined document exchange in logistics and trade
Nivis
Integrated platform for efficient real estate and tenant management
The Wall
Core banking system for customer, transaction, and financial management
REDDA - Research Data Ingestion and Organization Tool

REDDA is a tool developed for Celgene Corporation in collaboration with Seattle BioSoftware. It is designed to facilitate the ingestion, annotation, and organization of research data, streamlining workflows and improving the efficiency of scientific research processes.

Key Features
Data Ingestion
Supports the seamless import of research data from various sources, ensuring compatibility with existing systems
Annotation and Metadata Management
Enables detailed annotation of datasets, providing context and enhancing data usability for downstream analysis.
Organized Data Storage
Structures and organizes data for easy retrieval and efficient management.
Application
Profiling RNA and protein expression in tissue samples.
Exploring spatial relationships between biomolecules and cellular structures.
Supporting biomarker discovery and translational research.
ContributionOur team contributed to REDDA by:
Building tools for data ingestion and ensuring compatibility with diverse data formats and sources.
Developing annotation features to support detailed metadata entry and management.
Implementing organizational structures to facilitate efficient data storage and retrieval.

REDDA provides a reliable framework for managing and organizing research data, helping researchers focus on discovery and innovation by reducing time spent on data handling