BioRaptor

BioRaptor is a bioprocessing data analytics platform designed to automatically capture, organize, and contextualize data from all bioprocess sources in one unified place. It delivers instant cross-run analysis results, automated reports, dynamic dashboards, and real-time monitoring capabilities — empowering bioprocessing teams to make faster, more accurate decisions and accelerate process development and optimization.

BioRaptor serves industrial biotechnology companies of all sizes, from early-stage process development teams to large-scale manufacturers. The platform addresses a core challenge faced by bioprocessing scientists: the time-consuming, error-prone process of manually extracting and formatting data in Excel, the difficulty of extracting comprehensive insights across many experiments, and the burden of building data infrastructure from scratch.

Core Platform Capabilities

• Data Collection and Management: Automatically collects, organizes, and harmonizes all bioprocess data — online, at-line, and offline — into a single platform, providing full visibility and clarity across all data sources.
• Instant Cross-Run Analysis: Enables scientists to compare and analyze differences between runs by selecting parameters and datasets, including both historical and real-time data, with a single click.
• Real-Time Monitoring and Alerts: Provides a high-level view of all active runs with customizable, timely alerts designed to prevent run failures before they occur.
• Automated Reports, Graphs, and Dashboards: Simplifies visualization, sharing, and communication of bioprocess data through automatically generated reports, graphs, and dynamic dashboards.
• Root Cause Analysis: Helps teams identify contributing factors affecting results by enabling deep investigation across biological metrics and process parameters.
• Complex Calculations: Automates complex calculations such as solving differential equations, allowing engineers to set parameters like growth rates or glucose set points and have the system calculate results automatically.

What Makes BioRaptor Different

• Built for Biology: Unlike platforms adapted from other industries, BioRaptor is purpose-built for biological data. It supports time-series measurements, offline data integration, and both objective and subjective inputs. Its structured yet flexible data architecture enables complex queries while accommodating experimental adjustments.
• Customizable and Flexible: The platform is designed to adapt to evolving workflows, integrate new devices, scale up operations, and incorporate new calculations without friction, growing alongside the needs of the organization.
• Super-Fast Implementation: BioRaptor is operational in just 2 to 4 weeks — significantly faster than most software solutions that can take a year or more to implement. Its adaptable data schemas work with existing lab infrastructure, and a prescriptive setup approach based on industry best practices streamlines onboarding from data entry to analytics.

Integrations and Instrument Connectivity

• BioRaptor is built to seamlessly connect to and ingest data from any instrument or device, regardless of manufacturer or file type.
• Flexible templates adapt to new file types with ease, ensuring data flows effortlessly into the unified platform no matter what instruments a team uses.
• The platform supports data from a wide range of equipment, including 24-well deep-well plates, 2-L bioreactors, large-volume CDMO runs, and biomass sensors, among others.

Notable Customers and Use Cases

• DMC Biotechnologies: BioRaptor enabled the fermentation team to ask and answer questions in real time, significantly reducing time spent processing data and increasing time spent interrogating it.
• Remilk: The platform provides a unified view across scales — from small-scale plates to large CDMO runs — enabling decisions based on real insights. Integration with the biomass V-sensor also optimized fermentation process control and efficiency.
• Formo: BioRaptor allows the bioprocess team to bring data from different bioreactors into one platform, compare runs side by side, and trace results back to their source, even when equipment is not fully connected.
• Aleph Farms: Combined with the team's expertise in design of experiment (DoE) methodology and statistical analysis, BioRaptor's AI-driven capabilities help understand interactions between process inputs and conditions, accelerating the development of robust and scalable processes for cultivated meat.
• Ever After Foods: Engineers use BioRaptor to automate complex calculations that would otherwise require significant trial and error, saving considerable time and effort.
• BioHarvest Sciences: The platform provides visibility into every biological metric and supports root cause analysis and deep investigation, serving as a critical tool for bioprocess optimization and yield prediction.

BioRaptor is trusted by bioprocessing teams across industrial biotechnology, fermentation, and cultivated food sectors, offering a fast-to-deploy, biology-first analytics platform that transforms how teams collect, analyze, and act on their bioprocess data.