Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Genesis Computing offers an innovative enterprise AI platform centered around autonomous "AI data agents" designed to streamline complex data engineering and analytics workflows within an organization’s existing technology framework. This groundbreaking approach creates a new category of AI knowledge workers that function as self-sufficient agents, capable of executing comprehensive data workflows instead of merely providing code suggestions or analytical insights. These agents are equipped to explore data sources, ingest and transform datasets, map raw data from originating systems to structured analytical formats, generate and execute data pipeline code, produce documentation, conduct testing, and oversee pipelines in real-time production settings. By managing these processes from start to finish, the platform significantly diminishes the manual effort usually needed to construct and sustain data pipelines and analytics infrastructure. Consequently, organizations can focus more on strategic initiatives rather than getting bogged down by repetitive technical tasks.
Description
NuGenesis SDMS serves as the automated data repository that supports the NuGenesis laboratory management system. This platform seamlessly consolidates various data types produced by instruments, researchers, and external entities into a unified repository. This allows scientists and collaborators to efficiently commence research, share findings, and exchange data. The system ensures the secure capture, indexing, and storage of laboratory-generated data in compliance with regulatory standards, executing these tasks promptly after any data creation or alteration. Additionally, it simplifies the management of printed data, which encompasses the outputs from instruments. The system is compatible with diverse operating systems, such as Microsoft Windows and UNIX, and it converts data into widely accepted non-proprietary interchange formats, like IUPAC JCAMP-DX. NuGenesis SDMS is proficient at identifying new content across your servers, projects, and data types while swiftly extracting relevant metadata to keep everything organized. This functionality not only enhances efficiency but also ensures that valuable research data is readily accessible and securely stored.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Apache Kafka
Yes
Apache Spark
Yes
Azure Databricks
Yes
Docker
Yes
Git
Yes
GitHub
Yes
Google Cloud Platform
Yes
IDBS E-WorkBook
No
Jira
Yes
Integrations
Amazon Web Services (AWS)
No
Apache Kafka
No
Apache Spark
No
Azure Databricks
No
Docker
No
Git
No
GitHub
No
Google Cloud Platform
No
IDBS E-WorkBook
Yes
Jira
No
Pricing Details
Free
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
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
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Genesis Computing
Founded
2024
Country
United States
Website
genesiscomputing.ai/
Vendor Details
Company Name
Waters
Country
France
Website
www.waters.com/waters/fr_FR/Automated-Data-Repository/nav.htm
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Product Features
Scientific Data Management System (SDMS)
Analytics
No
Artificial Intelligence (AI)
No
Audit
No
Centralized Data Repository
No
Collaboration
No
Compliance
No
Data Security
No
ELN Integration
No
LIMS Integration
No
Workflows
No