Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Apache Groovy
No
Azure SQL Database
No
Java
No
Microsoft Excel
No
MySQL
No
ONNX
No
Oracle Database
No
PostgreSQL
No
Integrations
Amazon Web Services (AWS)
Yes
Apache Groovy
Yes
Azure SQL Database
Yes
Java
Yes
Microsoft Excel
Yes
MySQL
Yes
ONNX
Yes
Oracle Database
Yes
PostgreSQL
Yes
Pricing Details
Price available upon enquiry
Free Trial
No
Free Version
No
Pricing Details
$10,000 per year
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Assessment Management
No
Candidate Management
No
Colleges / Universities
No
Evaluation Management
No
Fee Management
No
Financial Aid Management
No
Forms Management
No
K-12
No
Recruiting Management
No
Scoring
No
Self Service Portal
No
Product Features
Business Rules Management Systems (BRMS)
Access Control / Permissions
No
Code Development Environment
No
Deploy Across Platforms
No
Flexible Hosting Options
No
Lifecycle Management
No
No Code Development
No
Simulation
No
Validation Tools
No