Blog post
The end-to-end platform for antibody discovery
Benchling Biologics gives antibody R&D teams a shared, structured foundation to design, register, and characterize proteins, connecting the wet and dry lab without switching tools or losing context.
Accelerate antibody discovery with the AI platform for R&D
Register any format
Bring any antibody format to life without code, in minutes
Configure antibody formats without code, including bispecifics, multispecifics, TCRs, and fusion proteins
Start capturing data the same day a format is defined
Add new formats as programs expand, without engineering support
Connect wet and dry lab
Give every team a single, connected view of every antibody
Sequences, proteins, lots, and assay results live on one platform
Every relationship is visible, every component is traceable back to how it was made
Wet and dry lab teams work from the same experimental history
AI-ready data from day one
Produce AI-ready data from the moment a sequence is registered
Automated annotation at registration captures CDRs, FRs, germline genes, liabilities, and mutations without a manual step
Computational teams pull a clean, structured dataset without a data preparation sprint
REST API and SQL warehouse access built in from the start
Everything you need to move faster
No-code format designer
Configure any antibody format using VERITAS nomenclature. New formats are ready in minutes, not weeks. Color-coded protein glyphs give scientists a visual representation of each protein's architecture before a single sequence is registered.
Automated sequence characterization
At registration, Benchling annotates CDR and FR regions, detects mutations and liabilities, and identifies closest-related germline genes, automatically. Scientists review results rather than annotating rows.
Bulk protein registration
Register up to 1,000 antibodies per run via spreadsheet upload. Format-aware validation catches errors at entry, not six weeks later.
Lineage and uniqueness tracking
Every domain, chain, and protein exists as a distinct, linked entity. Uniqueness constraints are enforced from domain to full protein. Every component is reusable and traceable across experiments and lots.
Connected experimental data
Assay results captured in Benchling Bioresearch link directly back to the proteins registered in Biologics. Wet and dry lab teams work from the same experimental history.
Open data access
REST APIs and SQL warehouse access make the full structured dataset available for analysis and model training. Computational teams query across proteins, methods, and results without manual exports.
The timeline is a huge selling point for customers right now … It's a combination of a lot of processes that have improved. But Benchling really enabled that scaled work.
Paul Guyett
Research Group Lead, Invenra
