
LabOS
Centralized data management, automated workflows, and instrument integration for collaborative R&D labs with AI-powered insights.
Overview
Scispot's Lab Operating System (LabOS™) is an AI-powered, API-first R&D cloud platform designed to serve as the "Digital Brain" of modern biotech and life science laboratories. Built for both wet lab and computational teams, LabOS™ centralises data, automates workflows, connects instruments and scientific applications, and enables collaborative research — all within a single, no-code-configurable environment that scales with growing lab operations.
LabOS™ delivers measurable operational impact, including up to 70% faster experiment design, 50% reduction in IT costs, 90% increase in workflow automation, and 100% data readiness for AI and machine learning initiatives. It combines the capabilities of a LIMS, ELN, SDMS, and integration hub into one unified platform, making it a comprehensive alternative to fragmented point solutions.
Collaborative R&D
- Rapid experiment design using drag-and-drop templates
- Real-time execution and collaboration directly at the bench
- Seamless connection between experiment execution, inventory, samples, and instruments
- Automatic generation of compliance reports for audit-readiness
- Full compliance support through audit trails, versioning, and electronic signatures
Automated Lab Management
- End-to-end sample tracking from registration through to reporting
- Real-time depletion tracking of consumables during protocol execution
- Automated alerts for low stock levels, sample expiration, and equipment maintenance
- Visual freezer management with integrated barcode scanning
- Auto-reordering capabilities integrated with purchasing systems
Advanced Scientific Data Management
- Centralised FAIR data cloud aggregating data from all lab instruments and software
- Unified data model creation using recommended templates
- Data standardisation in compliance with FAIR principles
- AI Lab Assistant and Python scripting support for data transformation, analysis, and insight generation
- SDMS integration with LIMS, data pipelines, and analytical tools
- Robust data security through role-based access control, version control, and audit trails
Connected Lab and Instrument Interoperability
- One-click integrations with lab instruments including bioreactors and liquid handlers
- Centralised dashboard for tracking all integrations, data sync logs, and statuses
- Direct linkage to popular tools such as Airtable, Jupyter Notebook, Google Drive, GraphPad Prism, OneDrive, GitHub, and QuickBooks
- Data connectors with scheduled updates for legacy ELNs and LIMS platforms including Benchling, CDD Vault, and LabGuru
API-First Platform and AI Capabilities
- Standard API with consistent schema for seamless data transfer and integration
- Embedded Jupyter Notebook and AI Lab Assistant (Scibot) for tailored data preprocessing and analysis workflows
- Natural language chat interface enabling multi-click tasks to be completed conversationally
- Data harmonisation and enrichment pipelines for ML and AI model training, stored in graph and vector databases
- Full data ownership with backup options to AWS S3, Redshift, or any cloud storage, with no vendor lock-in and easy migration
Why Choose Scispot LabOS™
- White glove support including personalised setup, unlimited expert training, and consulting
- User-friendly, no-code interface that requires no programming expertise to configure
- Unified platform centralising all lab operations, tools, and data in one place
- Comprehensive integration capability connecting with virtually any instrument or scientific application
Scispot LabOS™ is deployed as a cloud platform with locations spanning Kitchener, Seattle, London, San Francisco, and Montreal. It serves a broad range of life science verticals including drug discovery, contract testing labs, molecular diagnostics, pathology, biobanking, industrial biotech, and pharma and clinical QC labs. The platform is designed to support small and growing biotech teams through to larger research organisations seeking to modernise and scale their laboratory infrastructure.

