Ejvin
Ejvin is an AI property management assistant that works inside Outlook and Gmail to draft professional email replies to tenant inquiries. It references lease contracts, property history, and Danish rental law to generate accurate responses, and learns from past corrections to reduce repetitive work. Setup takes about five minutes after a short consultation, with no migration or new system to learn.
- Property Technology
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Property administrators spend hours each month answering repetitive tenant emails about rent, payment deadlines, rules, and contracts. Searching through lease agreements, house rules, and rental law for every inquiry is time-consuming, and errors are costly. As portfolios grow, administrative workload scales faster than teams can hire.
Solution
Ejvin is an AI property management assistant that works inside Outlook and Gmail to draft professional email replies for tenant inquiries. It accesses lease contracts, property history, open tasks, internal guidelines, and Danish rental law to generate accurate responses ready for review and one-click sending. The system learns from previous corrections to avoid repeating the same fixes, matches the company's tone and writing style, and can route matters to technicians or vendors based on the administrator's fixed setup. Setup takes about five minutes after a short consultation, with no migration or new system to learn.
Target Audience
Primary users are property management companies and housing administrators who handle tenant inquiries across large residential portfolios, from independent managers with around 900 units to professional management firms receiving 60-80 emails daily.
Features
- Drafts complete email replies directly inside Outlook and Gmail for immediate review and one-click sending
- References lease contracts and current Danish rental law to ensure legally correct responses
- Builds context from property and tenant data to deliver precise, situation-aware answers
- Learns from past corrections to avoid repeating the same fixes and reduce manual rework
- Matches the company's tone and writing style for consistent communication
- Routes inquiries to technicians, caretakers, or vendors based on the organization's fixed workflow setup