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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 Dasseti?

Dasseti provides cutting-edge software solutions specifically designed for the due diligence and oversight of asset and fund managers. By incorporating a comprehensive and flexible array of features, Dasseti simplifies the evaluation of funds with innovative tools like a digital due diligence questionnaire engine, an automated system for flagging and scoring responses, management of research and reviews, customer relationship management (CRM), collaboration capabilities, workflow oversight, an external managers portal, and extensive analytics. Our goal is to empower both investors and investment consultants to improve the efficiency of their fund monitoring and due diligence efforts through advanced digitization and automation techniques. The services offered by Dasseti cater to a wide range of clients, including investment consultants, pension funds, sovereign wealth funds, endowments, foundations, family offices, wealth management firms, funds of funds, insurance firms, and banks, assisting them in the selection and oversight of managers across various asset classes like equities, fixed income, hedge funds, private equity, real estate, and infrastructure projects. Ultimately, Dasseti seeks to transform the way these organizations handle their investment strategies and build relationships, fostering a more efficient, transparent, and effective investment landscape. In doing so, we aspire to set a new standard in the industry for due diligence and asset management practices.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft Outlook
Microsoft Word
Preqin
Tableau

API Availability

API Availability

Has API

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

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Online Training

Company Facts

Organization Name

Orbital

Date Founded

2018

Company Location

United Kingdom

Company Website

www.orbital.tech/

Company Facts

Organization Name

Dasseti

Date Founded

2018

Company Location

United States

Company Website

www.dasseti.com

Categories and Features

AI Legal

Not specified

AI Real Estate

Not specified

Due Diligence

Not specified

Categories and Features

Due Diligence

Not specified

Family Office

Not specified

Investment Management

Benchmarking
Client Management
Performance Metrics
Portfolio Management
Risk Management

Research Management

Not specified

Wealth Management

Not specified

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