
White paper
Benchling Bioresearch gives teams a shared space to design and manage experiments, complex biomolecules, workflows, and results end-to-end.

Ensure data consistency across teams with templates, schemas, and permissions
Capture and share rich experimental details
Get data-driven insights, faster using interactive dashboards
Save time finding samples and their lineage
Design and analyze DNA, RNA and AA sequences
Lead with a bio-aware registry with rich metadata
Increase sample throughput with native instrument connectivity
Collaborate securely with standardized workflows
Unblock organizational bottlenecks with real-time dashboards
Document rich experimental details and assay data. Work together in real time with shared entries, and standardize data collected with templates.
Build plasmids and optimize primers with built-in guides. Edit, align, and query sequences for DNA, RNA, AA, and modified oligonucleotides with easy-to-use molecular tools.
Capture DNA, RNA, AA, and oligos with modifications with experimental metadata in a biologically-aware registry.
Establish an inventory of samples, consumables, and equipment using a hierarchical framework that’s linked with the registry and notebook.
Build dashboards and share reports that track metrics and answer questions from all data created within or pulled into Benchling.
Drag-and-drop tasks in an easy-to-use flowchart to map activities from simple tasks like making a request, through complex process dependencies.
Benchling allows us to achieve speed and scale by transforming previously manual processes relying on Excel and various in-house tools into fully automated steps.
Associate Principal Scientist, AstraZeneca
Benchling offers far more functionality than a traditional ELN. It's an AI platform for R&D that works across modalities and across the R&D lifecycle. Benchling consolidates what used to be five or six separate tools. It combines ELN, LIMS, molecular biology tools, a biological registry, inventory management, and workflow automation in one platform. Unlike a standalone ELN, it's biologically aware, meaning it understands sequences, entities, and relationships between experiments and samples. It also serves as the structured data foundation that powers Benchling AI, because AI is only as good as the data it runs on. Read the ELN capabilities guide to understand what to look for.
Benchling is used by scientists at some of the world's largest pharma companies, innovative biotech startups, and more than 200,000 scientists around the world. Scientist in academia use Benchling for research. The best way to start using Benchling is to request a demo to see it for yourself. If you're an academic doing research, you can sign up for a free account. Scientists typically start by creating a notebook entry from a template, linking it to registered entities, and capturing results, all within Benchling. If you're an existing Benchling customer, you can join the community to explore how scientists are using Benchling everyday. Or, read through our customer stories to learn how innovative teams are doing R&D with Benchling.
Yes. Benchling includes a full molecular biology suite for editing, aligning, and querying DNA, RNA, amino acid sequences, and modified oligonucleotides. You can build plasmids, optimize primers, design CRISPR guides, and run sequence alignments, all within the same platform where you document your experiments.
With Benchling AI, you can also run structure predictions using AlphaFold 2, Chai-1, and Boltz-2 directly in Benchling, connecting in silico design to your experimental registry without leaving the platform.
Yes. Benchling's registry and molecular tools are designed to support novel and complex biomolecules including proteins, antibodies, bioconjugates, microbial strains, and cell, gene, and RNA modalities. For antibody and complex biologics specifically, see Benchling Biologics for dedicated capabilities built on top of the Bioresearch foundation, including AI-powered structure prediction models for accelerating candidate evaluation.
Yes. Benchling supports data import and has migration tooling available. Benchling AI can significantly accelerate migrations by converting unstructured PDFs, spreadsheets, Word documents, and legacy ELN entries into clean, structured Benchling data automatically.
Benchling links notebook entries directly to registered entities (samples, cell lines, plasmids, reagents, etc.) in the registry and inventory. This means you can trace any experimental result back to its source sample, lot number, and protocol.Benchling AI can then query across this linked data to answer questions like "trace the full lineage of this protein" or "find all experiments using this reagent lot". Learn more in the LIMS inventory management guide.
Many smaller teams are up and running within weeks; enterprise rollouts may take several months. Benchling offers professional implementation services, advisory support, and training certifications to speed adoption. These also include pre-built content to increase value and reduce ramp up time.
Benchling lets you create and share notebook entry templates to standardize how data is documented. Teams can work in real time on shared entries, set up structured result schemas, and use pre-defined workflows so every experiment follows the same process. The Notebook check feature further enforces standards by automatically reviewing entries for missing sections, copy-paste errors, and inconsistencies, catching issues before they become data quality problems.
Benchling is SOC 2 Type 2 certified, ISO 27001 compliant, and GDPR-ready. It supports 21 CFR Part 11 compliance for FDA submissions, with electronic signatures and full audit trails baked in. Benchling does not train models on customer data, and all AI actions are logged in audit trails. For details, visit the Benchling Security Center and the AI data protection policy.
Yes. Benchling offers a free academic plan with core ELN and molecular biology tools for university labs and researchers. Benchling AI is also available free for academic scientists, giving students and researchers access to agents and models alongside their lab work.
The fastest path to digitization is to start with your most repetitive, high-value workflows, typically experiment documentation, sample tracking, and sequence design, and migrate those into a connected platform like Benchling. Using Notebook templates and Workflow schemas lets teams standardize processes quickly without constant manual customization. Benchling Connect further accelerates digitization by automating data capture from lab instruments, while Benchling AI Agents like the Compose Agent can convert existing protocols, handwritten notes, or PDFs directly into structured notebook entries, dramatically reducing the manual effort of migration.
Bioresearch is purpose-built for multi-team R&D, with shared notebook entries, real-time co-editing, workflow task assignments, and registry access across the organization.
The Requests feature makes it easy to initiate and track work across teams, with structured submission forms and real-time execution tracking built on top of those workflow tasks.
Benchling AI adds another layer and lets any team member query experiments, results, and samples conversationally, eliminating the back-and-forth of hunting for data across notebooks.
See Benchling's product overview for how all products connect.
Benchling is one of the most comprehensive integrated platforms available, combining an electronic lab notebook with built-in sample registration, inventory tracking, molecular biology tools, and workflow management.
Unlike point solutions that require separate ELN and LIMS systems stitched together via custom integrations, Benchling is natively unified, meaning your notebook entries are automatically linked to the samples, sequences, and protocols they reference. It's also the only platform where those entries can be queried in real time by AI agents to surface insights across your entire experimental history. For a deeper look at ELN capabilities to evaluate, see our ELN buyers guide.
Among modern, cloud-native platforms designed for large-molecule R&D, Benchling is widely considered the gold standard, used by over 200,000 scientists across startups, large pharma, and academic institutions. Increasingly, teams are also evaluating platforms based on their AI readiness, including whether it structures data in a way that can be used to power intelligent agents and models.