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Description
Inkvex is a specialized legal AI designed specifically for self-funded searchers engaged in the due diligence of live SMB acquisitions. It meticulously analyzes Asset Purchase Agreements, commercial leases, employment contracts, seller notes, Franchise Disclosure Documents, and other pertinent diligence materials, providing a risk score ranging from 1 to 10, highlighting significant red flags, citing relevant jurisdictions, and generating a structured first-pass report along with a Diligence Memorandum in PDF format for every subscription tier.
Users can ask Inkvex follow-up questions about the documents reviewed, with the ability to reference Verified Sources for accuracy. Premium subscription options enhance the experience by including an Executive Deal Verdict, a Cross-Reference Map, and Negotiation Points that align with market benchmarks.
Designed exclusively for searchers rather than freelancers, Inkvex serves as a preliminary assessment tool for legal counsel rather than a replacement for professional legal advice, providing valuable legal information without constituting formal legal guidance. This distinction ensures that users understand the importance of consulting with qualified attorneys in the acquisition process.
Description
The annual expenses associated with commercial tort litigation targeting businesses, which encompass benefits paid, losses, legal fees, and administrative expenditures such as document collection and attorney meetings, were estimated at around $160 billion, culminating in nearly $1.6 trillion over the course of a decade. To create a deep learning model focused on the federal court’s civil rights-employment category, specifically "employment discrimination," we gathered factual allegations from 400 federal court complaints—excluding any email data. This model was deployed on GPU instances within Microsoft Azure and AWS, where it was evaluated using 20,401 emails from the Enron dataset, marking the first instance the model encountered email data. Each identified true positive email can be exported to a platform for internal investigations or case management purposes, enhancing the model’s utility. Furthermore, with an integrated database connected to the user interface, users have the capability to save these true positives, incorporate them into the initial training set, and subsequently re-train the model for improved accuracy and performance. As a result, this continual learning process ensures that the model evolves and adapts over time to better identify relevant cases.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$99.99
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Darkcode AI Media LLC
Founded
2026
Country
United States
Website
inkvex.app
Vendor Details
Company Name
Intraspexion
Founded
2016
Country
United States
Website
intraspexion.com/mvp