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Description
App Orchid is transforming how businesses tackle digital transformation by empowering users with AI capabilities directly. This innovative platform is making AI accessible to all, eliminating the need for lengthy and costly IT projects. With App Orchid, enterprises can implement AI applications seamlessly, without the requirement of coding, system replacements, or extensive training programs. The platform takes care of preparing enterprise data to be "AI Ready" by managing the complete knowledge harvesting lifecycle, which means you avoid the hassle of deploying and integrating multiple tools. A standout feature is its ability to incorporate the "tribal knowledge" of your employees, ensuring that you receive the most valuable insights and recommendations tailored to your business needs. In contrast to traditional AI platforms or analytical solutions, the App Orchid platform simplifies the process by executing the full Knowledge Harvesting Lifecycle, thus making your data ready for AI without the need to clean historical data or connect various tools. This approach not only enhances efficiency but also maximizes the potential of your existing resources.
Description
Graphwise is an advanced AI platform designed to assist businesses in automating their knowledge processes while ensuring confidence in their AI systems by converting disparate data into a reliable semantic foundation. This comprehensive suite enhances the reliability and scalability of generative AI by transforming raw data into contextually rich, AI-compatible assets, implementing intelligent agent-based frameworks, and offering robust AI applications within a cohesive platform. By utilizing Precise GraphRAG, Graphwise transcends mere data fragments, leveraging a governed knowledge graph to anchor every response in established facts, thereby removing inaccuracies and delivering precise, actionable insights. The platform integrates automated modeling, cutting-edge graph technology, semantic search, recommendation systems, taxonomy and ontology management, data automation, graph-centric text mining, and enterprise-ready GraphRAG workflows. Suitable for a variety of applications, it addresses challenges in technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management, showcasing its versatility across numerous business needs. Additionally, Graphwise's innovative approach ensures that organizations can achieve a deeper understanding of their data, ultimately leading to informed decision-making and enhanced operational efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
ArcGIS
Cloudera
PI Vision
SAP Cloud Platform
dataPARC Historian
kdb+
Integrations
Amazon Web Services (AWS)
ArcGIS
Cloudera
PI Vision
SAP Cloud Platform
dataPARC Historian
kdb+
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
App Orchid
Founded
2013
Country
United States
Website
www.apporchid.com/ao-platform/
Vendor Details
Company Name
Graphwise
Country
Bulgaria
Website
graphwise.ai/
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)
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization