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What is Naavik.ai?

Naavik.ai stands out as a cutting-edge platform that harnesses the power of artificial intelligence for real estate mapping and property management, designed to simplify project management for developers, builders, brokers, and sales teams alike. Users can engage with interactive maps that allow for clear visualization of property layouts, manage their inventory in real-time, track plot availability, and improve the entire purchasing experience. By incorporating advanced mapping technologies, automation, and insightful data analytics, Naavik.ai enables real estate firms to enhance their operational efficiency, streamline sales processes, and make swifter, more knowledgeable decisions. This all-encompassing solution fundamentally reshapes the way real estate professionals approach their work, guaranteeing they remain competitive in a fast-paced market. With its innovative features, Naavik.ai not only aids in immediate tasks but also fosters long-term growth and adaptability in the ever-evolving real estate landscape.

What is Lev?

Lev is an enterprise AI platform purpose-built for the commercial real estate industry, enabling sponsors, brokers, lenders, investment sales teams, and real estate operators to automate critical transaction workflows while leveraging proprietary market intelligence and relationship data. The platform unifies deal sourcing, underwriting, financing, marketing, outreach, document generation, pipeline management, and transaction execution into a single operational environment. Lev’s AI agents assist users throughout the deal lifecycle by researching properties, extracting data from leases and financial statements, generating offering memorandums, recommending financing structures, matching lenders based on real-time market activity, automating outreach campaigns, analyzing term sheets, and producing actionable pipeline insights. Its financing capabilities leverage historical deal outcomes and lender activity to rank financing partners according to appetite, asset class preferences, geography, transaction type, and loan characteristics. The platform also supports investment sales and acquisition teams through contact enrichment, buyer and sponsor discovery, deal room management, diligence workflows, and collaborative project tracking. For enterprise organizations, Lev offers APIs, workflow automation tools, custom AI agent development, integrations with existing systems, and on-site implementation support. By combining AI-driven automation with commercial real estate-specific data and workflows, Lev enables firms to improve productivity, reduce manual work, accelerate transaction timelines, and gain greater visibility across their investment, lending, and capital markets activities.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$25/month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Naavik.ai

Date Founded

2015

Company Location

United States

Company Website

naavik.ai/en

Company Facts

Organization Name

Lev

Date Founded

2019

Company Location

United States

Company Website

www.lev.com

Categories and Features

Categories and Features

Commercial Real Estate

Brand Management
CRM
Cash Flow Analysis
Critical Date Alerts
Deal Management
For Appraisers
For Brokers
For Investors
For Property Managers
Portfolio Management
Strategic Planning

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