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Emily’s Features

Emily provides a modern, fully automated support solution that operates 24/7, helping reduce the workload of student administration, strengthen student recruitment capacity, and simultaneously function as an assistant for university staff

Who is Emily

The only AI-powered solution that strengthens university operations across four areas: student administration, staff co-pilot, student recruitment, and executive data collection.

Student Administration Assistant

Responds directly to student questions.

Staff Co-Pilot

Supports academic and administrative staff in their daily work.

Student Recruitment Assistant

For both domestic and international student recruitment.

Executive Data Collection Assistant

Supports decision-making with structured data and reports.

AI and Knowledge Management

Emily

Intelligent, Contextual Responses

Leverage cutting-edge AI to provide accurate, contextual answers that continuously improve.

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Student Support and Recruitment Assistance

24/7 Student Support

Available anytime, anywhere, in all time zones, helping to answer questions from students.

Multilingual Assistant

Emily can communicate in multiple languages (English, Chinese, Arabic, or even Kazakh), supporting international students and applicants by providing information and integration in their own language.

AI-Powered Email Ticketing

Seamlessly able to escalate complete conversations to human staff when needed, ensuring no question goes unanswered.

Data Collection and Email Capture

Emily can collect email addresses from users, enabling not only instant responses but also follow-up communication, database building, and targeted outreach.

AI Search

Emily's built-in AI search function helps students and applicants easily navigate university websites and documents.

SEAMLESS INTEGRATIONS

Easy Deployment Across Channels

Embed Emily on your website, university mobile app, or social media platforms like Facebook and Instagram.

Multi-Platform Deployment:Website, mobile apps, and social media integration.
System Integrations:Connect with SIS (Neptun, SAP Student Lifecycle Management, Banner, etc.) and LMS (Moodle, Canvas, CooSpace, Blackboard) compatible platforms, SharePoint, or any external system via API.
Universal Access:Reach students and prospective applicants wherever they are, on any platform they prefer.
Chatbot integration across multiple platforms
Customized chatbot interface with university branding
CUSTOMIZATION

Branded Experience

Align Emily with your university's visual identity and branding guidelines.

Visual Identity:Custom colors, logos, and styling to match your brand.
Multilingual Response Capabilities:Serve domestic and international students in their own language.
Personalized Experience:Responses, tone, and interface fully customized to reflect your university’s identity and communication style.
Security & Privacy

Enterprise-grade security & privacy

We place a strong emphasis on security and compliance. Our platform is built on infrastructure providers holding SOC 2 Type II certification and GDPR-compliant systems, ensuring secure and compliant handling of user data.

GDPR Compliant

Designed to meet European data protection standards.

Robust Data Protection

Best-in-class security measures for student data privacy.

SLA Guarantees

We offer guaranteed uptime, reliability, and responsive support through formal service level agreements (SLAs).

Advanced Analytics and Reporting

Emily’s detailed reports provide a clear overview of AI assistant usage and user behavior.

Admin Dashboard and Reports

Gain clear insights into AI assistant usage, user questions, and trends with Emily’s reporting tools, helping universities track interactions and identify key topics.

AI-Powered Content Analysis

Leverage advanced analytics to identify emerging topics and needs among user discussions, providing actionable insights for continuous improvement.

Persona Building

By processing information gathered in chats, Emily identifies patterns and segments users based on their needs, interests, and behaviors, creating personas.

Admin and Management Tools

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Automatic Access to Latest Updates

Benefit from continuous improvements without extra setup and costs.

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Integrations

Emily can be extended in two ways: it brings administration together in one place, and it connects broadly with the institution's existing systems.

One-Stop Administration

Every channel comes together in one place. A student or applicant can ask a question, book an appointment, open a ticket, and give feedback, all within the same conversation.

  • Source-cited question answering
  • Newsletter subscription and saving personal information
  • Appointment booking, with automatic calendar sync
  • Escalation to a human administrator, with full conversation history
  • Email-based ticketing
  • Filing a complaint or structured feedback
  • Phone integrationComing soon

Platform Integrations

Emily connects where the institution already works: student information systems, learning management systems, social platforms, office tools, and customer service systems.

  • SIS: Neptun, SAP Student Lifecycle Management, Banner, and more
  • LMS: Moodle, Canvas, CooSpace, Blackboard
  • META: Facebook, Instagram, Messenger
  • Website embedding
  • Microsoft ecosystem: SharePoint, OneDrive, Microsoft Teams, Outlook/Exchange
  • Google ecosystem: Google Drive, Google Workspace
  • External helpdesk systems: Zendesk, Freshdesk, ServiceNow, Jira Service Management, if the institution already uses one

We determine custom integration and development needs during implementation.

FAQ'S

Emily is an AI-powered assistant developed specifically for universities, supporting student administration, communication, and recruitment. She helps automate student customer service and recruitment communication by providing instant, reliable, and multilingual responses — while reducing administrative burden and improving the student experience.
Emily learns from the university's own materials: website content, official documents, and policies — ensuring responses are accurate, up-to-date, and credible.
Emily offers multilingual support to engage both domestic and international students, including English, Hungarian, Chinese, Arabic, Kazakh, and more.
Emily is designed to fit seamlessly into a university's digital ecosystem. She can be embedded on websites, mobile apps, Facebook and Instagram pages, Microsoft 365 applications, and connected via API to any system or storage platform — including SharePoint, Google Drive, and SIS (Neptun, SAP Student Lifecycle Management, Banner, etc.) and LMS (Moodle, Canvas, CooSpace, Blackboard) platforms.
For a basic rollout, a publicly available institutional website and document repository are sufficient, along with a sitemap.xml file that the knowledge base is built from. Additional integrations (e.g. email ticketing via Outlook/Microsoft 365, calendar-based scheduling, SharePoint or Google Drive) are optional and depend on the chosen package. Connecting to internal institutional systems (e.g. SIS platforms like Neptun, or LMS platforms like CooSpace or Moodle) requires institutional IT involvement and prior technical coordination.
Yes. Emily supports topic-level restrictions, ensuring the system does not respond to certain subjects or internal processes — or only responds in a predefined way. Restrictions operate on multiple levels: content-level (defining topics Emily will not address, such as HR, finance, legal, or internal policy matters), technical/meta-level (Emily recognises the question but responds with a predefined message, e.g. "I'm not able to comment on this — please contact the relevant colleague"), and data access-level (document access can be filtered so Emily cannot reach materials that are non-public or outside her scope). All restrictions are fully GDPR-compliant.
Emily can run on two types of knowledge base. The public Emily relies exclusively on publicly available website content and documents, serving external prospects and students. The institutional Emily, by contrast, operates on a separate knowledge base built solely from documents the institution has provided internally, with access restricted by authorization and further limited by topic where needed. The two knowledge bases never mix.
The deployment takes place in three phases. The first phase covers basic installation and web integration (0–1 month): embedding the chatbot, completing the base configuration, and launching the first working version. The second phase covers standard integrations, averaging +1 month per integration, including cloud-based systems such as Microsoft (Outlook, Calendar, SharePoint) and Meta platforms (Facebook, Instagram Messenger). The third phase covers internal infrastructure integrations — such as SIS (e.g. Neptun) or LMS (e.g. CooSpace) platforms — which require active involvement from the university's IT team, an available API, and a test environment. The timeline for this phase varies by institution.
Emily acts as a data processor. The legal basis and purpose of data processing are tied to the university, and Emily operates exclusively on its behalf. The institution retains full control over the data; Emily neither processes data independently nor for its own purposes. Data use is strictly limited to: reporting and statistics, quality control, service improvement for the given institution, and the production of anonymous, aggregated statistics — in a way that neither the institution, nor individual users, nor specific conversations can be identified. No data is used for the benefit of other institutions, product development, or model training.
No. Emily does not use conversation data to train large language models or any external AI system. There is no adaptive learning, no user-based model fine-tuning, and data is not shared with OpenAI, Microsoft, Google, Claude, xAI, or any other third-party model. Data processing serves solely to support the given institution's operations: monitoring response category coverage, measuring response quality, and identifying knowledge gaps. The system remains institution-specific — one institution's data is never transferred to another university's system, included in benchmark databases, or used for mass business development analysis.
No. Emily operates on an institution-specific basis: a given university's conversation data never transfers to another university's system, is never included in a benchmark database, and is never used for mass business development analysis. Each institution's data belongs exclusively to that institution.
The use of large language models (LLMs) raises data protection considerations in three areas: data transfer, data retention, and use for model training. Emily controls and limits all three. Data only enters the minimally necessary processing environment, does not reach external parties without contractual authorisation, and is never used for third-party model training or data storage. Language models do not store processed data, do not use it for training, and do not transfer it to other data processing contexts — meaning there is no persistent data storage, secondary data use, or "data shadow profile". Model training is explicitly excluded: Emily does not learn from institutional data, does not embed information into the central model's knowledge base, and only uses data temporarily and locally to generate a response. This ensures the institution loses no data, no content reaches external companies, and there is no "data siphoning" or "data fingerprinting".
Emily's data handling is built around all six GDPR principles: Purpose Limitation — Data may only be used for answering questions and reporting. Data Minimization — Only the minimally necessary data is processed. Transfer Limitation — No external model training, no unauthorized data transfer. Integrity and Confidentiality (Security) — EU/EEA server location, multi-layer encryption, with the underlying infrastructure providers' ISO 27001/27018 and SOC 2 Type II certifications, principle of least privilege across every integration. Storage Limitation — The institution can archive, export, or delete its data at any time — no indefinite retention. Accountability — A data processing agreement (DPA) for every integration, logged and auditable access at every step.
Emily in Action

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What to Expect

Personalized Demo

Tailored walkthrough based on the institution's specific needs

30-Minute Session

Quick and comprehensive overview of all features

Security Focused

Learn about our enterprise-grade security measures

The Solution for 21st-Century Universities

Join the group of modern, student-friendly institutions that apply the most advanced solutions!

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