Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Microsoft Discovery is an advanced AI-powered platform designed to accelerate scientific discovery by enabling researchers to collaborate with a team of specialized AI agents. This platform leverages a graph-based knowledge engine that connects diverse scientific data, allowing for deep, contextual reasoning over complex and often contradictory theories. Researchers can customize AI agents to align with their specific domains and tasks, making it easier to manage and orchestrate research efforts. Built on Microsoft Azure, Discovery ensures a high level of trust, transparency, and compliance, offering an enterprise-ready solution. The platform has already been used to accelerate the development of a novel coolant for data centers, cutting the discovery time from months to just 200 hours. This demonstrates the transformative potential of AI in R&D, providing researchers with the tools to unlock new possibilities and innovations at scale.
Description
Scispot delivers a powerful lab informatics platform that transforms how life science labs operate. Through its configurable LabOS™ ecosystem, teams can select from a unified suite of tools covering ELN, LIMS, SDMS, QMS, and AI capabilities—all accessible through an intuitive no-code interface. Purpose-built for CROs, Diagnostic Labs, and Biotech R&D teams, Scispot addresses critical challenges in Sample Management, Freezer Management, and GxP Compliance. The platform seamlessly connects with 200+ lab instruments and 7,000+ applications, eliminating manual data entry while ensuring regulatory adherence. Scispot's AI-powered analytics convert experimental data into actionable insights, accelerating discovery timelines. With rapid implementation and a focus on user experience, Scispot enables 1000+ lab scientists and operators to standardize processes, maintain compliance, and focus resources on innovation rather than administrative overhead.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Adobe Marketo Engage
No
Amazon Cognito
No
Azure Blob Storage
No
Chargebee
No
Firebase
No
GitHub
No
IBM Db2
No
Iterable
No
Klaviyo
No
Listrak
No
Integrations
Adobe Marketo Engage
Yes
Amazon Cognito
Yes
Azure Blob Storage
Yes
Chargebee
Yes
Firebase
Yes
GitHub
Yes
IBM Db2
Yes
Iterable
Yes
Klaviyo
Yes
Listrak
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Contact for Pricing
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com
Vendor Details
Company Name
Scispot
Founded
2020
Country
151 Charles Street West Suite #199 Kitchener, Ontario, N2G 1H6, Canada
Website
www.scispot.com
Product Features
Product Features
Lab Inventory Management
Barcode Scanning
Yes
Expiration Date Management
Yes
Purchasing
Yes
Reorder Management
Yes
Sample Management
Yes
Supply Management
Yes
Usage Tracking
Yes
Vendor Management
No
LIMS
Audit Trail
Yes
Certificates of Analysis
Yes
Data Import / Export
Yes
Electronic Laboratory Notebook
Yes
Inventory Management
Yes
Lab Instrument Interface
Yes
Reporting & Statistics
Yes
Sample Tracking
Yes
Specification Management
No
Workflow Management
Yes
Medical Lab
Audit Trail
Yes
Data Analysis Auditing
Yes
Data Security
Yes
EMR Interface
No
Fax Management
No
Lab Instrument Interface
Yes
Multi-Location Printing
Yes
Online Instrumentation
Yes
Physician Test Panels
Yes
Procedure-Based Billing
No
Sample Tracking
Yes
Scientific Data Management System (SDMS)
Analytics
Yes
Artificial Intelligence (AI)
Yes
Audit
Yes
Centralized Data Repository
Yes
Collaboration
Yes
Compliance
Yes
Data Security
Yes
ELN Integration
Yes
LIMS Integration
Yes
Workflows
Yes