SECTORS

Built for the sectors that depend on biological data integrity.

We work with regulated organisations across life sciences, biotechnology and genomic research — wherever the consequences of compromised data are too high to accept.

Data integrity for life sciences. From source to submission.

Regulators are asking harder questions about data integrity. Audit trails must be complete. Provenance must be defensible. Inspection readiness is no longer a project — it's a permanent state. Most data systems were designed for collection. Few were designed for the standard regulators now apply.

01
Source-anchored data integrity
Every record sealed at capture, traceable to origin. No retrospective edits.
02
Continuous audit logging
Every action, access and validation step preserved immutably.
03
Inspection-ready evidence chains
Defensible records produced on demand, not reconstructed under pressure.
04
Regulatory alignment
Architecture built around the principles of 21 CFR Part 11 and EU Annex 11.
05
Validation support
We work alongside client teams on specific validation and qualification requirements.
06
Clinical trial data capture across multiple sites
07
Pharmacovigilance and safety signal evidence
08
Regulatory submission preparation
09
GxP environments — GCP, GMP, GLP
10
Quality management and audit response

A trusted data layer for biotech, from discovery to commercial scale.

Biotech companies generate years of data across discovery, translational research, process development and commercial manufacturing. That data needs to remain coherent, defensible and verifiable — through partner changes, platform changes, scale-up changes and regulator scrutiny. Most biotech data lives across fragmented systems. The audit trail breaks at every transition.

01
Continuous provenance
Data lineage preserved across every stage of the development lifecycle.
02
Bioprocessing batch records
Batch, equipment, environment and personnel records linked into a tamper-evident chain.
03
Partner-ready evidence
Defensible records for investors, partners, regulators and acquirers.
04
API integration
Works alongside existing LIMS, ELN, MES and quality systems — no rip-and-replace.
05
Laboratory and translational data integrity
06
Bioprocessing and manufacturing batch records
07
Investor and partner due diligence readiness
08
M&A and tech-transfer scenarios
09
Commercial scale-up validation

Genomic research infrastructure built for sensitivity, scale and sovereignty.

Genomic research increasingly happens across borders, across institutions and across regulatory regimes. The data is sensitive. The collaborations are political. The audit expectations are rising. Legacy research data systems were not built for this — they force trade-offs between access, anonymity, sovereignty and integrity. The BioChain is the infrastructure layer that resolves those trade-offs.

01
Per-study chain instances
Each research programme runs on its own chain. No cross-contamination of data or access.
02
Patient tokenisation
Anonymised identifiers protect patients across the entire chain-of-custody.
03
Hash-on-chain, file-off-chain architecture
Sequence files stay in client-controlled storage; cryptographic hashes anchor integrity on-chain.
04
Multi-jurisdiction nodes
Local data residency preserved; unified verifiable view delivered.
05
Role-based access
Principal investigators, lab technicians, research teams and external auditors operate within defined boundaries.
06
Multi-site genomic research collaborations
07
Cross-border data sharing with sovereignty
08
Sensitive sequence data management
09
Malaria, dengue and infectious disease genomics
10
Gene-editing outcomes archives

Wherever biological data must be trusted.

Public health, agritech, food safety, environmental research — if your work depends on biological data integrity, we should talk.