CIPHERS
The Technology Behind Data Intergrity
Most data problems don´t start in systems.
They start at the source
Data breaks before it even
reaches your systems
In most Life Science environments, data is already compromised before it is stored, processed or analysed.
- Data is captured inconsistently across instruments
- Context is lost during transfer between systems
- Audit trails are incomplete or disconnected
- Data becomes fragmented across workflows
WHAT CIPHERS IS
CIPHERS is the underlying approach we use to capture, structure and verify data at its source.
Instead of focusing on systems, CIPHERS focuses on:
- Capturing data at the point of origin
- Preserving full context and traceability
- Structuring data before it becomes fragmented
- Ensuring data integrity across workflows
Data Collection at its Source
With the exponential growth of data every day, emphasizing effective data collection at its source becomes crucial, especially in environments bound by strict regulations. Our goal is to redefine datahandling, ensuring compliance while maximizing data’s potential for sophisticated processing tasks. This focus is critical as the challenges of managing large data volumes without proper controls at their inception become increasingly complex.
WHERE IT APPLIES
- Laboratory environments
- (LIMS / ELN / Instruments)
- Quality Control and Manufacturing
- Preclinical and research workflows
- Multi-system, multi-site environments
IMPORTANT TO UNDERSTAND
CIPHERS is not sold as a software platform.
It is the underlying methodology and approach applied in our work to:
- identify data issues
- improve data integrity
- enable reliable downstream use
HOW IT CONNECTS TO YOUR BUSINES
CIPHERS is applied as part of our Data Reality Check and data improvement engagements.
This ensures that:
- problems are identified at the source
- solutions are based on real workflows
- improvements are sustainable
WHAT IT ENALBLES
What becomes possible when data is reliable
- End-to-end traceability across systems and workflows
- Reliable audit trails for compliance and inspections
- Data that can actually be used for analytics and AI
- Reduced manual reconciliation and data correction