
Truebase
Truebase is an AI-powered expense comps platform for multifamily real estate that standardizes fragmented financial data from PDFs, spreadsheets, and systems into a single structured database. The platform connects data in under 20 seconds, benchmarks expenses against anonymized comps, and deploys AI agents to flag NOI-lift opportunities like overpriced vendor contracts. It is live with owners managing over $2 billion in real estate.
- Property Technology
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Real estate asset managers rely on thousands of unstructured PDFs and Excel files, making data analysis slow, error-prone, and costly. Manual month-end reporting and cross-portfolio analyses consume analyst time and hide profit opportunities in underutilized data. Expense data remains a black box in the industry, fragmented across systems with no standardized comps available.
Solution
Truebase is an AI operating system for real estate asset management that standardizes all financial data into a single, structured database. The platform plugs into existing file-sharing tools, bulk-uploads historical data, and goes live in under 24 hours. Once deployed, Truebase's fine-tuned LLMs handle rote work—answering portfolio questions, building dashboards, drafting LP reports, and running cross-portfolio analyses. Every answer cites its source and calculation methodology, achieving 99% accuracy versus 80-85% for general LLMs. The system also identifies and executes NOI-lifting actions like vendor renegotiations, mispriced leases, and tax appeals. Truebase positions itself as the third comps category—expense comps—alongside established rent comps and sale comps, bringing high-fidelity expense benchmarking to the multifamily industry.
Target Audience
Primary customers are real estate asset managers overseeing multifamily, commercial, or mixed-use portfolios who need to streamline financial reporting and uncover NOI improvement opportunities. The platform is currently live with owners managing over $2 billion in real estate.
Features
- Automated data standardization from PDFs, XLS files, CSVs, and bank statements into one chart of accounts at the subaccount level (e.g., HVAC, not just R&M)
- Natural language AI querying for portfolio analytics, dashboard creation, and LP report drafting
- Full source attribution with calculation methodology for every output, tracing numbers back to rent rolls, GLs, or notes
- Cost insight engine that flags vendor contracts running over portfolio median and identifies savings opportunities
- Fine-tuned LLMs trained on real estate data that achieve 99% accuracy versus 80-85% for general LLMs
- Implementation in under 24 hours with no setup fees, leveraging bulk historical data uploads
- Connects to data sources in under 20 seconds, from structured data lakes to file storage platforms like Box to raw PDFs
- Anonymized comp sets with property tagging by vintage, class, size, and manager for apples-to-apples benchmarking
- Live property management system sync for ongoing data updates