Case Study: Inzen Therapeutics achieves accelerated Thanokine™ therapeutic discovery and end-to-end data traceability with Benchling

Accelerating Thanokine™- based therapeutics with a modern data infrastructure

Inzen Therapeutics, a Cambridge-based biopharma working on Thanokine™-based therapies, needed to turn complex, multi-assay lab work into reliable, reproducible insights. Scientists struggled with inconsistent terminology, fragmented data stored on personal devices, and no end-to-end sample tracking—issues that slowed integration between wet lab and informatics teams and limited the pace of discovery. As a small startup, they required an intuitive, low‑maintenance ELN/LIMS to harmonize data and preserve institutional knowledge.

Inzen onboarded Benchling with a dedicated Implementation Manager who delivered a custom data schema in three months. The platform standardized vocabulary, enabled end-to-end sample traceability and bulk data entry, and made experiments and downstream samples easily searchable and linked across teams. The result was faster, cleaner analyses, higher confidence in insights, less time spent on data wrangling, and a scalable data foundation that lets the team focus on experiments and future API-driven visualizations.

Inzen Therapeutics

Jake Jaffe

Head of Data Science