A New York software company turning one of finance's slowest, most paper-heavy corners into a system of apps, AI agents, and real-time data.
Commercial real estate finance is a multi-trillion-dollar market that, for decades, ran on personal rolodexes, phone calls, and PDFs. A single deal - financing an apartment complex, an office tower, a shopping center - could take upwards of 100 days to close. Lev's founding bet, made in 2019, was that the software could do the chasing instead of the humans.
Lev combines what it describes as the industry's largest source of real-time commercial real estate data with purpose-built AI. The platform gives sponsors and brokers instant access to thousands of lenders, lets them compare offers and rates, and structures the mountain of unstructured information every deal generates - calls, emails, documents - so a transaction can move forward faster.
What began as a tech-enabled brokerage has since become something broader: a CRE-native platform of apps, AI agents, and data. The company says its approach closes loans up to three times faster than traditional methods, and by 2021 it was closing nearly $1 billion in mortgages on the platform - roughly a tenfold jump year over year.
The tagline is characteristically direct: Lev exists, it says, to help commercial real estate professionals become "superhuman."
Figures drawn from company statements and press coverage; some are point-in-time and approximate.
Lev's platform is organized as a product system. Teams can adopt a single plugin to solve one pain point without migrating their entire operating system.
AI agents gather information across a user's touchpoints - calls, emails, documents - then structure and aggregate it to keep deals moving.
Real-time and historical data for 4,000+ lenders nationwide, including current programs and verified contacts across lending divisions.
AI-powered lender matching and scoring that pairs a deal with the lenders most likely to fund it.
Generates credit, debt, equity, investment, and deal materials from source data, files, and approvals.
A CRE-native platform with 50+ plugins so teams can build on top and solve one workflow at a time.
Commercial real estate sponsors, brokers, investors, and lenders. Users can instantly compare offers and rates across thousands of lenders, then manage the resulting deals in one place. Every customer is assigned a success manager for onboarding and deal support.
CRE financing is slow, opaque, and relationship-bound. Finding the right lender means working a rolodex; assembling a credit package means wrangling scattered files. Lev collapses that: a searchable lender network replaces the rolodex, and AI agents absorb the document busywork - compressing timelines that traditionally stretch past 100 days.
Plenty of companies are bolting AI onto real estate. Lev's harder-to-copy asset is the layer underneath: years of assembled, real-time coverage of lender programs and verified contacts across the country. The models are the interface; the data is the defensibility.
Its plugin strategy also lowers the barrier to adoption. Rather than demand a rip-and-replace of a firm's whole stack, Lev lets a team buy one plugin, solve one pain, and expand from there - a smaller first "yes" in an industry wary of big software migrations.
The cross-industry cap table underlines the thesis: strategic backers from both banking (Citi, Capital One, Cross River) and real estate services (JLL Spark) chose to own a piece rather than fight the shift.
Lev sits against other CRE fintech and proptech platforms - Cherre, Dealpath, CREXi, CommercialEdge/Yardi - as well as traditional debt brokerages and, most of all, the manual, spreadsheet-driven status quo it was built to replace.
Lev shifted from a marketplace/brokerage that earned fees on closed loans toward a SaaS platform layered over its lender and market data. Its rounds:
Series B investors included Parker89, Cross River Digital Ventures, NFX, Canaan, JLL Spark, Animo Ventures, Capital One Ventures, Citi Ventures, Citi SPRINT, and StepStone Group.
Yaakov Zar launches Lev in New York to modernize commercial real estate financing.
Raises ~$10M led by NFX and closes roughly $100M of financing on the platform.
Greenspring Associates and First American Title lead the round at a ~$130M valuation as volume approaches $1B.
Series B of $70M plus a $100M debt facility from Parker89, Cross River Digital Ventures, and strategic backers.
Lev evolves into a unified system of apps, agents, data, and 50+ plugins for CRE teams.
CEO Yaakov Zar publicly details how CRE teams are adopting Lev's AI agents.
Before Lev, Yaakov Zar co-founded Dispatch, a home-services software company acquired by Vista Equity Partners in 2018. A Boston University entrepreneurship graduate, he launched Lev in 2019 and serves as its CEO.
In 2024 he was named a "Ones to Watch - Innovator in CRE" by the New York Real Estate Journal, and by 2026 he was speaking publicly about how the industry is adopting agentic AI workflows.
Explore Lev's platform and hear from its CEO on how agentic AI is landing in commercial real estate.
Lev is an AI-native software platform for commercial real estate that helps sponsors, brokers, and lenders find capital, match with lenders, manage deals, and automate document generation using real-time lender and market data.
Lev was founded in 2019 by Yaakov Zar, who previously co-founded the home-services software company Dispatch (acquired by Vista Equity Partners in 2018).
Lev has raised more than $200M total, including a $30M Series A in 2021 and a 2022 round of $70M in equity plus a $100M debt facility, from investors like NFX, Canaan, Citi Ventures, Capital One Ventures, and JLL Spark.
Instead of relying on a personal rolodex and manual process, Lev uses a searchable, real-time database of 4,000+ lenders plus AI agents that structure deal data, aiming to close loans up to 3x faster than the traditional 100+ day process.
Lev is headquartered in New York City and employs roughly 95 people.