Documentation
What is Sevrel?
Sevrel, by Romulus, Inc., is an AI-powered document intelligence platform built for commercial real estate professionals. It connects to your existing document storage — Egnyte or Google Drive — or works with files you upload directly to Sevrel, and lets you ask questions about your leases, financials, rent rolls, operating expenses, and other property documents. Answers are designed to include source citations. AI output can be incomplete or wrong, so verify material claims.
What Sevrel Does
Instead of manually searching through folders of PDFs, spreadsheets, and lease agreements, you type a question in plain English and Sevrel finds the answer from your documents. Responses are designed to include source citations so you can verify the information directly; citation coverage is not a guarantee of accuracy or completeness.
What people actually ask
- “What is the lease expiration date for Tenant XYZ at Maple Crossing Plaza?”
- “Compare CAM charges across all properties for 2025.”
- “Show me the OpEx breakdown for Cedar Point Center Q4 2025.”
- “What renewal options does the anchor tenant have in their current lease?”
How It Works
Sevrel uses a technique called Retrieval-Augmented Generation (RAG). When you ask a question, Sevrel:
- Searches your documents — finds the most relevant files across your connected document source based on your query
- Reads the source text — Sevrel extracts text from your files (PDFs, spreadsheets, Word documents, presentations, and scanned or image-heavy pages) when it indexes them, then reads that prepared text at query time. Newly added or changed files may need a sync or re-index before they can be used to answer a question.
- Generates an answer — an AI model reads the extracted content and writes a clear, concise response
- Tracks sources — answers can include links back to the retrieved documents
Source files can remain in your connected storage, while Sevrel fetches content for processing and may store extracted/indexed chunks and necessary metadata. Available provider operations depend on the configured OAuth scopes, Sevrel permissions, and confirmation controls.
Tiered AI Model Routing
Sevrel uses an enterprise AI provider with automatic tiered routing. Configured heuristics select a tier based on apparent query complexity; selection does not guarantee a particular result. Chat answers are generated by the standard or deep tier — the fast tier is reserved for internal and background work:
Fast
Fastest and lowest-cost model. Used for internal and background work — conversation titles, intent classification, memory extraction, and notification summaries.
Standard
The default for RAG queries, agent workflows, and general chat. Best balance of speed and reasoning depth.
Deep
Deepest reasoning for deal underwriting, complex legal analysis, and systematic research.
Routing happens automatically based on configured heuristics; model selection does not guarantee a particular answer quality, and your organization's configuration may cap which tiers are available. Learn more about AI models →
Who It's For
Sevrel is designed for commercial real estate professionals who work with large volumes of property documents:
- Asset Managers — quick access to lease terms, tenant details, and property financials
- Acquisitions Analysts — accelerate due diligence by querying across deal rooms
- Property Managers — look up shared cost adjustment data, maintenance agreements, and tenant correspondence
- Portfolio Directors — compare operating metrics across properties without opening dozens of spreadsheets
Key Features
Document Intelligence
Ask questions in plain English. Get answers with source citations. Supports PDFs, Word documents, Excel spreadsheets, and more.
Storage Integrations
Connects to your organization's Egnyte or Google Drive scope, or accepts documents uploaded directly to Sevrel, without requiring a wholesale source-library migration. Extracted/indexed content may persist in Sevrel.
Privacy by Design
Organization-scoped authorization and database row-level security provide tenant controls. Your documents and queries are not used to train AI models, per Anthropic's API terms; Anthropic retains API request data for up to 30 days for abuse monitoring, and a Zero Data Retention agreement is not yet in place. See the Privacy Policy and Subprocessors.
Team Collaboration
Role-based access control with built-in viewer, member, and admin roles plus organization-defined custom roles and named permissions, enforced server-side on every request. Share conversations and insights across your team.
Next Steps
- Quick Start Guide — sign in, connect your document source, ask your first question, and read the citations
- Understanding the AI Models — how the fast/standard/deep tiered routing works
- How Search & Retrieval Works — understand how Sevrel finds answers in your documents
- Privacy & Data Isolation — how your data is protected
Last updated: August 11, 2026