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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
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
IDBS E-WorkBook
Jira
Integrations
Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
IDBS E-WorkBook
Jira
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Product Features
Scientific Data Management System (SDMS)
Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows