Data sheet
Generate accurate in vivo study data as a part of your connected R&D
Manage in vivo studies with modern software designed for data capture, collaboration, and insights.
Accelerate and run your in vivo studies, the Benchling way
Jumpstart studies
Start up in vivo studies sooner
Eliminate bias in animal selection via randomization
Develop reproducible in vivo studies
Save time and stay consistent across multiple studies
Capture data
Capture accurate in vivo study data without the hassle
Move quickly and collect more accurate data
Automate repetitive tasks and reduce transcription errors
Analyze behaviors and weight changes across animals
Drive collaboration
Work together across teams and projects
Easily transfer samples into registration systems
Maintain end-to-end study traceability
Facilitate meta-analysis and reporting across studies
Save time and manage in vivo studies
Study design and review
Define study data structure with reusable templates and make reviews simple with customized multi-step study design approval processes.
In vivo data capture
Capture result-level data about each animal interconnected with treatment, group, and sample-level data.
Randomization
Built-in multi-parameter randomization algorithms eliminate unconscious bias in animal selection.
Task management
Flexible task management and study scheduling keep teams aligned with daily routines and study milestones.
Real-time data visualization
Access current and historical study data from a centralized study database, and apply out-of-the-box models to generate real-time analytics.
Animal welfare monitoring
Assign configurable alert thresholds for body weight loss or experimental endpoints to identify any potential animal welfare issues as early as possible.
Frequently asked questions
Benchling In Vivo is purpose-built software for managing in vivo studies, from study design and animal randomization through data capture, analysis, and reporting. It replaces paper records and fragmented spreadsheets with a modern, collaborative digital system. Download the In Vivo product brief for a full capabilities overview.
Benchling In Vivo supports efficacy studies, tolerability studies, survival studies, and behavior and weight monitoring. It handles study designs involving multiple arms, treatment groups, and timepoints, with built-in analytics for body weight changes, nadir calculations, and tolerance summaries. See our In Vivo demo for more detail.
Benchling In Vivo includes built-in multi-parameter randomization algorithms to eliminate unconscious bias in animal selection, a key requirement for study integrity and regulatory defensibility.
Most preclinical teams manage in vivo and in vitro data in separate systems, making it slow to trace a candidate's full experimental history. Benchling In Vivo is built on the same platform as Bioresearch, ensuring full traceability between samples, protocols, and results. Benchling AI can also query across this combined dataset to answer complex cross-study questions.
Benchling In Vivo maintains complete audit trails, electronic signatures, and structured, traceable records. Benchling AI is built on the same compliance framework. AI actions are logged in audit trails and Benchling does not train models on customer data. For full details, visit the Benchling Trust Center and the AI data protection and security policy.
Yes. Benchling AI can compile comprehensive study summaries by pulling experiment IDs, procedures, reagent lots, and protocol details directly from Benchling records. Teams are already using Deep Research to dramatically reduce the time spent preparing regulatory documents from in vivo studies. Explore this blog for real-world use cases.
Yes. Benchling In Vivo enables collaborators at different sites, including CROs, to access and contribute to study data in real time, with role-based permissions to control access. Benchling AI can also help teams process and structure CRO-delivered data automatically, reducing the manual effort of transcribing CRO study results.
Most preclinical teams still rely on spreadsheets and paper records to track animal assignments, dosing schedules, and study observations — a setup that introduces transcription errors, limits traceability, and makes cross-study analysis nearly impossible. Digitizing in vivo study management means moving to a flexible platform that captures structured data at every stage: study design, randomization, execution, and reporting. Benchling In Vivo is built for this, replacing fragmented records with a connected digital system that links in vivo data directly to upstream in vitro experiments and downstream analysis. Download the In Vivo product brief to see the full capabilities.
Preclinical study reports are documentation-intensive — pulling together experiment IDs, protocol versions, reagent lots, dosing records, and analytical results from across multiple studies. AI agents can significantly compress this process by retrieving and synthesizing structured data automatically, rather than requiring scientists to manually compile records. Teams using Benchling AI have cut days of manual document preparation down to a fraction of the time by querying directly across their Benchling data. Explore report writing with Benchling.
