
SciSpot
Lab operations and data management for biotech, connecting experiment planning, sample tracking, inventory, and instruments into one AI-driven system.
Overview
Scispot is the operating system for the modern lab, purpose-built to unify fragmented lab operations into a fully connected, AI-driven, and audit-ready ecosystem. Trusted by more than 100 biotechs, diagnostics companies, and testing labs worldwide — from early-stage startups to global enterprises — Scispot enables scientific teams to collect, clean, and activate their data, transforming months of manual work into days of accelerated discovery. Founded by brothers Guru and Satya after a personal experience with the devastating cost of slow, manual science, Scispot is on a mission to help every lab run itself and bring life-saving breakthroughs to market faster.
Scispot serves a broad range of life sciences organizations including drug discovery teams, contract testing labs, molecular diagnostics, pathology, biobanking, industrial biotech, pharma QC labs, and clinical QC labs. Its platform replaces disconnected spreadsheets, siloed instruments, and manual workflows with a single intelligent system that plans, executes, documents, and learns from every experiment.
Core Products and Modules
- Lab Operating System (LabOS): A unified platform that connects experiment planning, execution, documentation, and inventory management. Built-in compliance ensures every step is audit-ready, allowing teams to focus on discoveries rather than data entry.
- alt-LIMS: An alternative to traditional LIMS that automates sample tracking end-to-end. Every sample is logged, monitored, and instantly retrievable, eliminating missing samples, lost data, and tedious spreadsheets.
- alt-ELN: An electronic lab notebook module integrated within the Scispot ecosystem for seamless experiment documentation.
- alt-LIS: A laboratory information system module designed for diagnostics and clinical lab environments.
- alt-QMS: A quality management system module to support compliance and quality workflows within the lab.
- alt-SDMS: A scientific data management system module for structured data capture and storage.
- Inventory Management: Automates inventory tracking, alerts teams before supplies run low, and ensures seamless reordering to prevent stockouts and wasted reagents.
- GLUE Integration Engine: A plug-and-play integration layer that connects all lab instruments, software, and databases into one interoperable ecosystem. GLUE enables real-time data syncing across platforms, eliminating data silos and enhancing lab efficiency.
Scibot — AI Lab Assistant
- Natural Language Search: Uses NLP-powered search to instantly find sample locations, statuses, and lab data without manual digging.
- AI-Driven Workflow Recommendations: Provides intelligent suggestions to optimize assay design, data processing, and result interpretation.
- AI-Powered Data Analytics: Enables users to visualize lab data instantly through customizable, AI-generated dashboards.
- Knowledge Graph and RAG: Links batch, run, sample, and assay data in a graph structure, using retrieval-augmented generation (RAG) for fast, cited answers drawn from SOPs and lab records.
Core Capabilities
- Code-First Lab Automation: Supports programmatic automation of lab workflows for teams that want to build custom pipelines and integrations.
- Automated Sample Management: Automates the full sample journey from inception to delivery, reducing search times from minutes to seconds and enabling bulk intake and metadata updates.
- Collaborative Workspace: Brings all team members into a single platform so scientists, operations staff, and leadership can collaborate in one place.
- Automated Compliance and Audit Readiness: Ensures every experiment, record, and sample log is continuously maintained in a compliant, audit-ready state without manual effort.
- Instrument and Data Integration: Integrates with standard lab instruments to ingest and process data into a single streamlined system, supporting workflows such as SPR screening, qPCR data processing, and in vivo experiment management.
Customers and Real-World Impact
- Arrakis Therapeutics uses Scispot for real-time visibility across scientific teams and seamless instrument data ingestion.
- Labs managing approximately 350 samples per week have automated bulk intake and metadata updates, saving significant time and improving data accuracy.
- Organizations have reduced sample search times from 20 minutes to seconds using Scispot's instant location retrieval.
- Distributed biotech companies leverage Scispot's integration and automation capabilities to operate efficiently across locations.
- Academic and research institutions such as TURI use Scispot to enhance data security, simplify onboarding, and support diverse teams.
- Scispot has been selected over enterprise competitors such as LabWare due to its ease of use, configurability, and accessible pricing for growing organizations.
Deployment and Company Details
- Scispot operates globally with offices in Kitchener, Seattle, London, San Francisco, and Montreal.
- The platform is designed to scale from startup labs to large global enterprises across biotech, diagnostics, pharma, and industrial biotech sectors.
- Scispot is highly configurable and adapts to existing lab workflows rather than forcing teams into rigid processes, acting as a true partner in building lab operations.
Scispot's vision is a world where labs become autonomous, self-driving ecosystems — industrializing science to accelerate the delivery of life-saving breakthroughs. By unifying data, instruments, and teams into one intelligent platform, Scispot gives scientific organizations the foundation to move faster, operate smarter, and make a greater impact.