Practical articles on lab software, data and AI, written by the team that builds software for biotech companies.
CRO LIMS × Biotech
How to choose a LIMS for a CRO, covering sponsor data separation, study and contract workflows, sample traceability, and when a custom build is worth it.
AI agents × Lab data
What AI agents in life sciences can do in 2026, from protein design to instrument data and lab automation, and what your lab data needs before you use one.
Bioprocess × Data Systems
What a bioprocessing LIMS should manage, where it fits alongside an ELN, historian and MES, the integrations that matter, and when a custom build is worth it.
AI × Lab Software
How to evaluate AI tools for your biotech lab by checking accuracy, integration, data privacy, validation and total cost before you commit to one of them.
AI × Data Privacy
When self-hosted AI for biotech is worth it, and when a commercial API under a BAA is the safer call. Covers API vs self-hosted, RAG vs fine-tuning, and cost.
AI × Compliance
A 2026 guide to the EU AI Act for biotech, what counts as high risk, why most research AI does not, the proposed delay, and what it means for lab software.
EU × FDA Compliance
EU Annex 11 vs 21 CFR Part 11, covering how the EU and US rules for computerised systems differ and how to build lab software that satisfies both markets.
Compliance × ELN
What a 21 CFR Part 11 compliant ELN needs, including audit trails, electronic signatures, access controls, ALCOA+ data integrity, validation, and cloud ELNs.
Branding × Web Presence
How to choose a biotech domain name that signals credibility to investors and partners, from the .com question and naming rules to mistakes and alternatives.
LIMS × Biotech Startups
A 2026 framework for choosing a LIMS for biotech startups, covering when you need one, what capabilities matter, compliance, budget, and buy versus build.
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