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Description
Deducta is an innovative data intelligence platform that takes disorganized and chaotic spend and ERP data and converts it into a coherent and structured foundation for decision-making, allowing organizations to identify hidden value, focus on opportunities, and enhance procurement strategies on a large scale. The platform seamlessly incorporates raw data exports from ERP and accounts payable systems, meticulously cleans and standardizes all spend data, and merges it into a single reliable source that spans various business units, entities, and categories, all without necessitating alterations to the current processes or systems in place. By leveraging advanced analytics and transparent AI methodologies, Deducta uncovers potential savings, identifies supplier redundancies, highlights inefficiencies, and suggests negotiation strategies, providing prioritized and actionable insights that are in line with governance and internal regulations. Designed for both speed and clarity, it offers immediate insights in just minutes and comprehensive structured analysis within hours, empowering teams to swiftly capitalize on opportunities for value creation while fostering a culture of informed decision-making. With its user-friendly interface and robust capabilities, Deducta not only simplifies the procurement process but also enhances organizational efficiency.
Description
Domino is a comprehensive enterprise AI platform that enables organizations to transform AI initiatives into scalable, production-ready systems. It supports the full AI lifecycle, including data access, model development, deployment, and ongoing management. The platform provides a self-service environment where data scientists can access tools, datasets, and compute resources with built-in governance and security controls. Domino allows teams to build machine learning models, generative AI applications, and intelligent agents using their preferred development environments. It also includes advanced orchestration capabilities to manage workloads across hybrid, multi-cloud, and on-premises infrastructures. Governance features such as model registries, audit trails, and policy enforcement ensure compliance and reproducibility. The platform enhances collaboration by providing a centralized system of record for all AI assets and experiments. Additionally, it helps organizations optimize costs through resource management and usage tracking. Domino is designed to meet enterprise standards for security and regulatory compliance. Ultimately, it empowers businesses to accelerate AI innovation while maintaining operational control and accountability.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2 Trn2 Instances
Amazon SageMaker
Apache Zeppelin
Bitbucket
Dask
Flask
GitHub
GitLab
H2O.ai
Jira
Integrations
Amazon EC2 Trn2 Instances
Amazon SageMaker
Apache Zeppelin
Bitbucket
Dask
Flask
GitHub
GitLab
H2O.ai
Jira
Pricing Details
No price information available.
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
Deducta
Founded
2024
Country
United Kingdom
Website
deducta.com
Vendor Details
Company Name
Domino Data Lab
Founded
2013
Country
United States
Website
www.dominodatalab.com
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
