Benchling provides a cloud-based platform that digitizes laboratory workflows and automates data management for biotechnology research, enabling scientists to efficiently plan, record, and analyze experiments. By reducing time spent on manual data capture and enhancing collaboration, Benchling accelerates the development of biopharmaceuticals and other biotech products.
Funding
$100M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+4Founders
Product
Problem
Biotechnology research relies on complex laboratory workflows and data management, often involving manual processes that are time-consuming and prone to errors. Inefficient data capture and limited collaboration capabilities can slow down research and development (R&D) cycles, hindering the progress of biopharmaceutical and biotech product development.
Solution
Benchling offers a cloud-based R&D platform designed to streamline laboratory operations and automate data management for biotechnology companies. The platform provides a collaborative environment where scientists can plan experiments, record data, and perform analyses in a centralized, digital format. By digitizing lab processes and automating workflows, Benchling reduces manual work, enhances data accuracy, and accelerates R&D timelines. The platform's unified data model supports diverse scientific data, enabling computational science and facilitating data-driven decision-making.
Target Audience
Benchling targets research and development teams in biopharmaceutical companies, industrial biotech firms, and agritech organizations, as well as academic institutions and startups involved in biotechnology research.
Features
- Collaborative, cloud-based electronic lab notebook (ELN) for experiment planning, recording, and sharing
- Workflow automation tools to reduce manual and repetitive tasks
- Unified data model for tracking biomolecules, small molecules, cell lines, animals, and reagents
- Integration capabilities for connecting instruments, software, and external data sources via API
- Role-based access controls and secure data storage to ensure data integrity and compliance
- AI-powered tools to enhance research efficiency
- Bioprocess module for end-to-end process development
- In Vivo module for managing and analyzing in vivo studies