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What is Orbital?

Orbital is a cutting-edge AI-powered tool designed to enhance and accelerate the property due diligence process for those in the legal and real estate fields. This innovative platform generates client-friendly reports in near real-time and efficiently analyzes title data. Users can quickly review, flag, and inquire about property documents, leveraging AI to streamline their workflow. Orbital's features simplify the search, visualization, evaluation, and reporting of property information, resulting in substantial time savings, increased productivity, and reduced risk exposure. Tailored specifically for professionals such as real estate lawyers, conveyancers, surveyors, and lenders, Orbital provides customized solutions to cater to diverse needs. Acting as an invaluable ally, the tool serves as an additional layer of scrutiny to uncover and highlight potential risks, ensuring that due diligence remains thorough even under tight deadlines. Furthermore, by integrating Orbital into their practices, professionals not only enhance their operational efficiency but also bolster their confidence in property evaluations, leading to more informed decision-making in their transactions. Ultimately, Orbital stands as a transformative resource that empowers users to navigate the complexities of property due diligence with ease and precision.

What is DOBS AI?

Dobs is an innovative AI platform designed specifically for financial due diligence, leveraging sophisticated AI agents to convert disorganized data rooms into organized workbooks in mere minutes, a process that typically spans several weeks. With this technology, transaction teams can thoroughly assess essential financial metrics such as proof of cash, payroll, and EBITDA, achieving a remarkable accuracy rate that surpasses 99%, which significantly reduces the dependence on manual spreadsheet tasks and accelerates the review process. The platform is engineered to handle and decipher inconsistent financial documents, extracting structured data, organizing accounts, reconciling information, and delivering outputs that are primed for analysis, which teams can utilize for due diligence, reporting, and strategic decision-making. Dobs' AI agents are versatile, serving various applications within financial due diligence and extending to industries such as construction, real estate, and property management, thereby aiding users in tasks like reviewing T12s, benchmarking performance, identifying hidden costs, managing covenant risks, and documenting change orders. Moreover, Dobs enhances real estate investment assessments through features such as AI-driven parsing, automated account mapping, real-time benchmarking, and an interactive chat option for deal discussions, ensuring that users have access to the most pertinent insights for making informed decisions. Consequently, Dobs not only streamlines the due diligence process but also equips teams with the tools necessary to make timely and well-informed financial choices, thereby significantly enhancing overall efficiency and effectiveness in the financial decision-making landscape.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Orbital

Date Founded

2018

Company Location

United Kingdom

Company Website

www.orbital.tech/

Company Facts

Organization Name

DOBS AI

Date Founded

2024

Company Location

United States

Company Website

dobs.ai/

Categories and Features

AI Legal

Not specified

AI Real Estate

Not specified

Due Diligence

Not specified

Categories and Features

AI Finance

Not specified

Finance

Not specified

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