BioRaptor

BioRaptor is a bioprocessing data analytics platform designed to help bioprocessing teams automatically capture, organize, and contextualize data from all their sources in one unified place. By eliminating the manual effort of extracting and formatting data in spreadsheets, BioRaptor delivers instant cross-run analysis results, automated reports, and dynamic dashboards — enabling scientists to spend more time interrogating data and less time processing it.

BioRaptor serves industrial biotechnology companies of all sizes, including biotech organizations working in alternative proteins, cellular agriculture, biocosmetics, and bio textiles, as well as biopharma teams developing biologics, cell therapies, and gene therapies. The platform is purpose-built for the complexity of biological data, supporting use cases across cell culture, precision fermentation, upstream and downstream bioprocessing, R&D, manufacturing, and CDMO operations.

Core Platform Capabilities

• Data collection and management: Automatically collects, organizes, and harmonizes all bioprocess data — including on-line, at-line, and offline data — into a single platform, providing full visibility and clarity across experiments and runs.
• Instant cross-run analysis: Enables teams to compare and analyze differences between runs by selecting specific parameters and datasets, drawing on 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 data through automatically generated reports, graphs, and dynamic dashboards.
• Root cause analysis: Helps teams identify contributing factors affecting results, enabling deeper investigation of biological metrics and process outcomes.
• Machine learning without coding: Allows users to build software-based sensors and predictive models directly from their data in just a few clicks, with a growing library of algorithms ranging from linear regression to XGBoost — no programming required.

What Makes BioRaptor Different

• Customizable and flexible: BioRaptor is built to adapt to evolving workflows, integrate new devices, scale up operations, and incorporate new calculations without friction, ensuring the platform grows alongside the organization.
• Built specifically for biology: Unlike platforms adapted from other industries, BioRaptor is designed for the inherent complexity of biological data. It supports time-series measurements, offline data integration, and both objective and subjective inputs, with a structured yet flexible data architecture that enables complex queries while accommodating experimental adjustments.
• Super-fast implementation: BioRaptor is operational in just two to four 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 through to analytics.

Workflow and Use Cases

• Accelerate process development and optimization by analyzing historical and real-time data together in one environment.
• Perform root cause analysis to understand interactions between process inputs and conditions, supporting the development of robust and scalable processes.
• View data from diverse equipment — from 24-well deep-well plates and small bioreactors to large-volume CDMO runs — side by side in a single platform.
• Automate complex calculations such as solving differential equations, setting growth rates, or defining glucose set points with a single click.
• Enable design of experiment (DoE) methodology and statistical analysis supported by AI-driven insights to better understand process variables.
• Facilitate collaboration across teams by making data easily shareable through automated reports and dashboards.

Integration and Device Connectivity

• Seamlessly connects to and ingests data from any instrument or device, with flexible templates that adapt to new file types.
• Integrates with existing systems including LIMS, ELN, SCADA, historians, cloud services, and third-party analytical tools.
• Connects to bioprocess equipment via encrypted data transmission channels such as secure VPN tunnels or cloud gateways, ensuring real-time data ingestion without compromising network security.
• For organizations with existing cloud infrastructure, BioRaptor can synchronize data from the customer's cloud instance directly into the BioRaptor database.

Security and Data Ownership

• Employs industry-standard security measures including encryption, role-based access control, audit trails, and secure cloud infrastructure.
• Customer data remains exclusively owned by the customer and is never used to train models for other parties.
• Strong data segregation is maintained between customers, with contractual guarantees ensuring that even BioRaptor's own engineers and customer success team cannot access customer data without explicit permission.

BioRaptor is not a LIMS or ELN, but is designed to complement and integrate with those systems. Onboarding typically takes just a few weeks, supported by comprehensive training sessions, regular check-ins, knowledge-base resources, and personalized consulting. The platform is well-suited for teams looking to avoid the cost, complexity, and long timelines associated with building in-house data infrastructure from scratch.