Leni

What is Leni?

Leni is an agentic AI platform built for real estate owners, operators and investment teams. It automates high-stakes analyst work such as underwriting, market research, valuation, portfolio and investor reporting, document review and memo writing. The platform pulls data from property management and accounting systems, then produces source-linked outputs so teams can trace each figure back to its origin.

The company began as RealSage and rebranded to Leni on 2 September 2024, describing the name as Leading Engine for NetGen Intelligence. At that point it reported 500,000 apartment units on the platform and a $4 million seed round led by York IE. ventureLAB lists Leni Inc. in Toronto, and a May 2026 press release names Arunabh Dastidar as CEO and co-founder. Leni now markets itself as AI infrastructure for enterprise work, with benchmark results it says beat systems from OpenAI, Anthropic, Google and Perplexity.

Key Features

• Automated underwriting: Leni automates underwriting and valuation modelling for multifamily and commercial deals. The company cites a customer whose underwriting review fell from 3 to 5 hours to 20 minutes, a claim worth testing on your own deals.
• Portfolio and investor reporting: Leni generates portfolio reports, executive summaries and investor packages from connected data. Teams no longer pull numbers by hand each month, and the vendor reports portfolio analysis time cut by 80% for one customer.
• Property system connectors: Leni connects to property management systems including Entrata, ResMan, RealPage, AppFolio and Yardi. Rent Manager also lists a Leni integration, so most operators can add Leni without migrating away from their current platform.
• Routed-Knowledge Graph: Leni maps your organisation’s context through a proprietary Routed-Knowledge Graph. This lets the AI understand portfolios, properties and past decisions, and it stores those decisions as institutional memory for later work.
• Model-agnostic routing: Leni routes each task across several AI models, including Claude, GPT and Gemini. The company says this avoids vendor lock-in and lets each job run on the model best suited to it.
• Source-linked outputs: Leni attaches sources and timestamps to its findings, according to Tool Directory’s review. Analysts can check where each number came from, which matters for investment committee memos and lender reporting.
• Market research and memos: Leni drafts market research and investment memos from public and internal data. This shortens deal screening for acquisitions teams that review many opportunities each week.
• Containerised security: Leni runs models in a containerised runtime with guardrails for sensitive data, the company says. Each client also keeps a private context graph, so portfolio information is not shared across organisations.

Pros

• Built for real estate: Leni focuses on real estate finance rather than general chat. Its workflows cover underwriting, valuation and investor packages, so analysts spend less time adapting a general assistant to property data.
• Works with existing systems: Leni plugs into the property management systems operators already use, such as Yardi, RealPage and Entrata. Teams keep their current stack and gain AI analysis on top of live operational data.
• Strong benchmark claims: Leni reports top results on four public AI benchmarks in May 2026. Its press release cites 365 of 400 tasks on SpreadsheetBench Verified and 98% on BullshitBench v2, although these are the company’s own reported runs.
• Traceable answers: Leni links outputs back to their sources with timestamps. This audit trail helps finance teams defend figures to investors and auditors, and it reduces the risk of acting on a fabricated number.
• Large customer base: Leni names operators and brokers such as Greystar, Bozzuto, CBRE, Colliers and Oxford Properties among its users. A May 2026 release says it supports portfolios worth $40 billion.

Cons

• No public pricing: Leni does not publish prices, and its pricing page was unavailable when we checked. You must speak to sales before you can compare cost against analyst time saved.
• Enterprise focus: Leni targets institutional owners, operators and investors rather than small landlords. Individual investors with a few properties will likely find it more platform than they need.
• Data setup required: Leni delivers most value only after it connects to your property management and accounting systems. Expect an onboarding project with IT and data owners before the reports become reliable.
• Inconsistent public figures: Leni’s own pages and its press release quote different benchmark and portfolio numbers. The homepage cites 88.6% on GAIA, while the release cites 77.0% on the validation set, so ask for methodology.
• Few independent reviews: Leni has limited third-party reviews on mainstream software sites. Most performance claims come from the company, so a pilot on your own portfolio is the best way to judge accuracy.

Who is Using Leni?

• Multifamily operators: track leasing, operations and KPIs across portfolios and flag anomalies.
• Asset managers: produce portfolio reports and executive summaries without manual data pulls.
• Acquisitions teams: speed up underwriting, valuation and investment memo drafting.
• Private equity and investors: prepare investor packages with source-linked figures.

Pricing

Leni sells on custom quotes and lists no public plans (checked October 2026).

Futurepedia reports a free trial alongside contact-based pricing, but we could not confirm a trial on the official site.

Quotes for enterprise platforms like this usually depend on portfolio size and integrations, so request a written proposal before any pilot.

What Makes Leni Unique?

Leni pairs a real estate data layer with an agent that can do analyst work end to end. Its Routed-Knowledge Graph keeps portfolio context and past decisions, while connectors to Entrata, RealPage, AppFolio and Yardi feed it live operating data. Model routing across Claude, GPT and Gemini, plus source-linked outputs, aims to give finance teams audit-ready answers rather than generic chatbot replies.

Compatibilities and Integrations

• Property systems: Entrata, ResMan, RealPage, AppFolio and Yardi, with Rent Manager listing a Leni integration.
• AI models: Routes tasks across Claude, GPT and Gemini without lock-in.
• Platform: Web-based enterprise platform with documentation and API references listed by G2’s AI marketplace.
• Data and output: Reports, executive summaries, memos and investor packages with source links and timestamps.

Leni Tutorials

Getting value from Leni starts with a demo and a data connection.

1. Book a demo at leni.co and share your portfolio size and systems.
2. Connect your property management and accounting systems with the onboarding team.
3. Ask Leni for a portfolio report or underwriting review on a known deal.
4. Check the source links against your own figures before relying on outputs.
5. Roll out recurring reports and memos to asset management and investor teams.

How We Rated It

Summary

Leni suits multifamily operators, asset managers and real estate investors who want AI to handle underwriting, reporting and research on their own data. Its main limitation is opacity on price, plus company-reported benchmarks that vary between pages. We rate it well for integrations and depth of real estate workflows. Run a pilot on one portfolio and compare Leni’s reports against last quarter’s figures before a wider rollout.