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Description
Aera Decision Cloud is an enterprise decision intelligence platform designed to automate and improve business decisions across complex organizations. It powers Aera as an agentic decision intelligence system that continuously analyzes data, reasons across business operations, and recommends or executes actions in real time. The platform connects to more than 200 data sources, including transactional systems, planning tools, analytics platforms, IoT signals, external data, and unstructured information. Its Decision Data Model creates a governed foundation that captures not only operational data, but also decision context, actions taken, and outcomes. Aera uses this decision memory to learn from previous actions and deliver increasingly optimized recommendations. Multi-engine orchestration allows teams to combine business rules, optimization models, simulations, AI/ML pipelines, graph analytics, and agent teams into composable decision workflows. Agentic Ambient Intelligence runs in the background to detect situations that need attention and generate recommended actions for approval or automation. Dynamic engagement tools let users interact with Aera through natural language chat, real-time inbox recommendations, collaborative workspaces, and decision control rooms. Aera Decision Cloud gives enterprises a scalable, explainable, and composable platform for digitizing decision-making across supply chain, procurement, finance, sales, marketing, HR, ESG, and other business functions.
Description
Vigilo® from Scry Analytics conducts predictive analyses on both internal and external data sourced from a variety of social media channels and news websites to provide decision-makers with actionable insights and recommendations for improved decision-making processes. The Vigilo® Adverse Event detection feature employs unique algorithms to interpret and analyze information from online posts, blogs, articles, social media outlets, and diverse news platforms to gauge the likelihood of business success or failure. Additionally, Vigilo® Service Ticket Management leverages artificial intelligence to enhance the quality of support services—both internal and external—by analyzing historical data associated with service requests. Furthermore, Vigilo® Optimal Factory Scheduling creates demand forecasts by taking a comprehensive approach to data related to customer demand, supply chain logistics, manufacturing, and distribution operations. This holistic methodology enables organizations to make better-informed decisions that can significantly enhance operational efficiency and responsiveness to market changes.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Aera Technology
Founded
1999
Country
United States
Website
www.aeratechnology.com
Vendor Details
Company Name
Scry AI
Founded
2014
Country
United States
Website
scryai.com
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Social Media Monitoring
Audience Segmentation
Competitive Analysis
Configurable Alerts
Customer Engagement
Dashboard
Impact Scoring
Influencer Tracking
Reputation Management
Sentiment Analysis
Trend Tracking