Julius
General AI toolJulius pairs a large language model with a live Python runtime, so a natural-language question is turned into code that runs against your data and returns charts, statistical models, and forecasts. For real estate, an analyst can upload rent rolls, T-12 operating statements, or comps and get cleaning, summary analysis, and predictive forecasting without building the model by hand.
Best for: Analysts and operators who want to ask plain-English questions of property data (rent rolls, T-12s, comps, portfolio metrics) and get charts and forecasts without coding.
Last reviewed 6/9/26
How property teams use Julius[1][2]
Julius pairs a large language model with a live Python runtime, so a natural-language question is turned into code that runs against your data and returns charts, statistical models, and forecasts. For real estate, an analyst can upload rent rolls, T-12 operating statements, or comps and get cleaning, summary analysis, and predictive forecasting without building the model by hand.
- • Connects to CSV/Excel, Google Sheets, and SQL warehouses (PostgreSQL, BigQuery, Snowflake) and answers questions in plain English
- • Generates and runs Python under the hood for statistical modeling and predictive forecasting, showing the code if you want to inspect it
- • Useful for CRE data work such as parsing rent rolls and T-12s, building comps summaries, and prototyping investment analysis
- Pricing
- Free ($0, 15 messages/mo); Plus $35/mo; Pro $45/mo; Max $200/mo; Business $375/mo; Enterprise custom
- AI type
- LLM-driven natural-language data analysis with generated Python (code interpreter)
- API
- no
- MCP
- no
How operators use Julius[4]
Each item is labeled by type: a Prompt you paste, a Skill you set up once, a multi-step Workflow, or an autonomous Agent.
New to these terms? Prompts vs Skills vs Workflows vs Agents →
Prompt Rent-roll analysis in plain English
Ask a question and Julius writes and runs the Python to answer it, returning a chart and table with cited source rows.
Show me the distribution of lease expiration dates by year, flag any month-to-month tenants, and calculate loss-to-lease by unit type.
Prompt T-12 benchmarking
Upload a trailing-twelve operating statement, compare expense ratios to benchmarks, flag outliers, and project forward NOI under three rent-growth assumptions.
Prompt Comps analysis and visualization
Get price-per-SF distributions, cap-rate ranges by submarket, and a price-versus-age scatter in seconds.
Guardrail: Validate every output before it goes into IC materials.
Before you upload sensitive data
Check this tool's data terms first. Enterprise and business tiers of the major AI tools do not train on what you upload; free tiers sometimes do. Keep tenant records, signed leases, and investor personal data on an account with a business agreement, and treat AI-generated images or audio as marketing assets, not official records.
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