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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
IDBS E-WorkBook
Jira
Microsoft Azure
Microsoft Excel
Microsoft Teams
Python
Slack
Snowflake

Integrations

Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
IDBS E-WorkBook
Jira
Microsoft Azure
Microsoft Excel
Microsoft Teams
Python
Slack
Snowflake

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

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