Expert industry insights
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 biotech CRO
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.
Myroslav SyrkoCOO at CodePhusionAI × Lab Software
How to evaluate an AI tool for your lab
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 is worth it for biotech
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 Labs × Biotech
AI models for life sciences in 2026
A practical 2026 comparison of AI models for life sciences from OpenAI, Anthropic, Google DeepMind, NVIDIA, Microsoft and Meta, and what integration takes.
AI × Drug Discovery
The state of AI in biotech in 2026
A 2026 review of where AI in biotech delivers measurable results, where pilots stalled on data readiness, and the FDA, EMA and EU AI Act shifts coming next.
AI × Lab Operations
Why AI is not solving the lab bottleneck (and what will)
Clinical trial timelines grew by 7 months over the past decade despite AI advances. Learn why CRO and CDMO lab bottlenecks persist and what fixes them.
Simulation × Lab Data
Lab digital twins in biotech R&D
Explore how lab digital twins are reshaping biotech R&D by enabling smarter decisions, improving reproducibility and integrating disparate lab tools and data.
GenAI × GxP
What generative AI changes in biotech lab software
Where generative AI adds value in biotech lab software today, from documentation to data cleaning, and why it is not yet ready for validated GxP workflows.
Building software for modern biotech teams.
Let's review your workflows and identify opportunities for automation, visibility and compliance.