User-Configurable Software Increases R&D Throughput, Gives Real-Time View of Biologics Pipeline Progress
SAN FRANCISCO, Sept. 20, 2017 — Benchling, the next-generation biologics R&D software company, today announced the release of its Workflow & Results Management system, a new class of informatics software that organizes, optimizes, and measures experimental progress from discovery to bioprocessing for any biologics modality. Through its native integration with Benchling’s complete informatics platform, Workflow & Results Management systematizes experimental processes and breaks down data silos throughout biologics R&D. As a result, companies can access a comprehensive, real-time view of pipeline progress, optimize their processes, and extract scientific and business intelligence at every stage of R&D. The system is also built to be configured through an intuitive user interface by customers themselves, so they can swiftly adapt to the changing needs of their organization. For a video demonstration of Benchling’s Workflow & Results Management system, please visit here.
The increasing complexity of biologics R&D has hindered the ability of organizations to make sense of their data. More than ever, biologics R&D is characterized by numerous specialized teams (some of which are external), large amounts of complex data, and many systems of record. Legacy software and rebranded small molecule systems lack the functionality, usability, and flexibility to support these modern workflows. Workflow & Results Management, along with the rest of the Benchling platform, is built to address these unmet needs of biologics R&D and deliver on the promise of unified informatics.
Workflow & Results Management organizes process-driven workflows into assignable tasks, pulling inputs directly from Benchling’s Bioregistry & Sample Tracking system and creating templated Lab Notebook entries for each task. Outputs are reported and automatically registered directly from these Lab Notebook entries, along with any relevant results. The system further automates data entry and results extraction through instrument integrations, automatic report generation, and executive dashboards. Since all of this data is centralized and contextualized within a workflow, companies can query across it to answer big picture questions: for example, “How can we accelerate hit identification of this technology platform given past success indicators?” Meanwhile, the productivity of individual scientists and teams increases vastly since data is centralized and data entry is minimized.
“Beyond solving the data problems of biologics R&D, Workflow & Results Management is the first system flexible enough to be configured easily by customers,” said Sajith Wickramasekara, CEO of Benchling. “Rather than rely on a vendor to do lengthy, costly, and rigid customizations, R&D leaders can adjust the system through a point-and-click configuration interface. This means it adapts to the changing needs of any biologics organization, while still eliminating scientist busy work, generating business insights, and equipping teams from discovery to bioprocessing with upstream and downstream experimental context.”
“Our R&D teams have been looking for better ways to standardize and record workflows,” said Paul Miller, Chief Scientific Officer of Synlogic. “Getting a real-time, measurable view of our operations has been a long-standing goal. Workflow & Results Management will give teams a great way to organize and monitor R&D progress as well as easily optimize the precise conditions that will support project progression.”
Workflow & Results Management is already in use at some of the most innovative biopharmaceutical companies in the world. In gene therapy, it’s being used to manage production requests and stages, from DNA synthesis, to viral synthesis, to QC. In CAR-T development, it’s being used to manage and optimize iterations of protocols to streamline development processes. And in antibody discovery, it’s being used to track lineages, link data back to individual candidates, and narrow hundreds of candidates down to the most promising ones. In all of these use cases, the system is streamlining data entry and reporting through automation, equipping teams with upstream and downstream progress to improve work quality, and empowering team leads and executives with a real-time view of progress across every team in R&D.
For the first time, the black box of biologics R&D has been opened, and companies can finally optimize their scientific workflows and leverage the full extent of their data.