The best operating system for modern biotech. Join 100+ biotechs that use Scispot to collect, clean, and activate their data - and supercharge R&D.
Founded by: in 2020
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You can use Scispot to connect all your biotech lab operations in one place. Track samples from start to finish, manage inventory automatically, plan and document experiments, and maintain regulatory compliance. The system integrates with lab instruments and databases, provides AI-powered search to find samples instantly, and automates workflow processes. Teams can collaborate on research, access real-time data, and generate reports while staying audit-ready for regulatory requirements.
Use Cases
Track 350+ biological samples per week across multiple freezers
Automate sample intake and metadata updates for research labs
Manage inventory for biotech startups to prevent stockouts
Connect multiple lab instruments to central data system
Coordinate animal study schedules for pharmaceutical research
Process screening data from laboratory instruments
Share secure data between internal teams and external partners
Maintain compliance records for regulatory audits
Automate workflow processes for diagnostic testing labs
Integrate molecular biology workflows with data analysis
Integrations
JupyterHub, Python SDK
Standout Features
Automatically tracks samples from creation to disposal
Integrates with lab instruments for real-time data sync
AI-powered search finds samples by location instantly
Maintains audit trails for regulatory compliance
Automates inventory alerts before supplies run out
Connects experiment planning with execution and documentation
Provides customizable dashboards for data visualization
Offers API and Python SDK for custom automation
Who is it for?
Data Scientist, Data Analyst, Operations Manager, Quality Assurance (QA) Engineer, Compliance Manager, Project Manager, Business Analyst, Systems Analyst
Tasks it helps with
Log and track biological samples with barcode scanning
Set up automated alerts for low inventory levels
Create experiment templates and standard operating procedures
Generate compliance reports for regulatory submissions
Search for specific samples using natural language queries
Integrate data from multiple lab instruments automatically
Build custom dashboards to visualize research data
Automate sample processing workflows with Python scripts
Overall Web Sentiment
People love it
Time to value
Moderate Setup (1-3 hours)
Tutorials
Reviews
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