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Description
AutoEnrol serves as an advanced AI engine designed to streamline the admissions process for universities. This specialized language model effectively analyzes a variety of applicant documents, including transcripts, degree certificates, English proficiency test scores (such as IELTS, TOEFL, PTE), passports, and other supporting materials from over 100 different countries and credentialing systems, achieving an impressive structured data extraction accuracy rate of 99.7%. The extracted information is then assessed according to the university's tailored admissions criteria, which are meticulously encoded from its official handbook into a deterministic logic engine. While the AI processes the documents, the institution's rules ultimately determine the final admissions decisions. Each suggested outcome is generated in less than a minute, accompanied by a comprehensive rule-by-rule audit trail, ensuring that evaluators can review and confirm every recommendation before any decisions are finalized. The rules encompass various criteria such as academic standards, English language proficiency, country equivalencies, and conditional pathways. Furthermore, every decision made can be traced back to its source document, maintaining transparency throughout the process. AutoEnrol is ISO 27001 certified and offers data residency options in Australia, Europe, the UK, and the US, while also seamlessly integrating with existing Student Information Systems (SIS) and Customer Relationship Management (CRM) platforms. This innovative solution not only enhances efficiency but also promotes fairness and consistency in the admissions process.
Description
Higson is an advanced business rules engine that empowers organizations to efficiently handle intricate decision-making processes and streamline rule-based operations with rapid execution speeds and a user-friendly interface tailored for business users. By decoupling business rules from application code, it enables users to easily configure products, pricing structures, and decision logic via a web-based Studio without needing extensive programming skills, thereby minimizing dependence on developers and expediting the time to market. Features such as sophisticated version control, a user-friendly tree-structured rule editor, and validation tools like the tester and mass tester ensure that changes can be rigorously tested before they go live. Higson also includes capabilities for visual rule modeling, integration with AI models, decision tables, and Groovy functions, while supporting import/export functionalities with Excel. Furthermore, it facilitates integration with existing systems using REST or Java APIs, and it securely stores configurations in widely-used SQL databases. The runtime engine is specifically engineered for real-time decision-making, adeptly processing thousands of API calls per second along with managing extensive datasets, ensuring that organizations can respond swiftly to evolving business needs. Ultimately, Higson enhances operational efficiency and agility, enabling organizations to thrive in a rapidly changing environment.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Apache Groovy
Azure SQL Database
Java
Microsoft Excel
MySQL
ONNX
Oracle Database
PostgreSQL
Integrations
Amazon Web Services (AWS)
Apache Groovy
Azure SQL Database
Java
Microsoft Excel
MySQL
ONNX
Oracle Database
PostgreSQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$10,000 per year
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
AutoEnrol
Founded
2023
Country
United Kingdom
Website
www.autoenrol.ai
Vendor Details
Company Name
Decerto
Founded
2006
Country
Poland
Website
www.higson.io
Product Features
Admissions and Enrollment
Application Management
Assessment Management
Candidate Management
Colleges / Universities
Evaluation Management
Fee Management
Financial Aid Management
Forms Management
K-12
Recruiting Management
Scoring
Self Service Portal
Product Features
Business Rules Management Systems (BRMS)
Access Control / Permissions
Code Development Environment
Deploy Across Platforms
Flexible Hosting Options
Lifecycle Management
No Code Development
Simulation
Validation Tools