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DiligenceVault offers a cloud-based SaaS platform for institutional investors, asset managers, and financial advisors to manage due diligence and investment processes. It serves as a data hub for collection, analysis, and reporting, using data analytics, AI, and machine learning to automate workflows with ESG and impact investing capabilities. The platform differentiates itself through end-to-end due-diligence workflow automation, integrated ESG/impact features, and scalability for large professional clients, with recent expansion into the EMEA region. Its goal is to streamline and automate how professional investors conduct due diligence and manage investments across different environments and regions.
Industries
Data & Analytics
Enterprise Software
Fintech
AI & Machine Learning
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2014
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DiligenceVault launches DV Assist 2.0, embedding applied AI across institutional diligence workflows. New release brings agentic automation, governed intelligence, enterprise connectivity, and reusable institutional knowledge to investment teams NEW YORK, NY, July 28, 2026 (Newswire.com) - DiligenceVault, the global diligence network and AI platform for asset allocators, wealth platforms, asset managers, and fund service providers, today announced DV Assist 2.0, the next generation of its AI capabilities for institutional diligence. DV Assist 2.0 is designed to help firms move from isolated AI experimentation to trusted AI embedded directly into the workflows teams use to review managers, analyze documents, monitor risk, respond to diligence requests, and support investment decisions. "The future of enterprise AI is not asking the same document the same questions repeatedly," said Ryan Wilding, AI Product Manager at DiligenceVault. "It is capturing how a firm evaluates risk, evidence, and disclosures once, and applying that institutional knowledge consistently across every relevant workflow." DV Assist 2.0 introduces agentic workflow automation, an integrated Review Agent, a governed Prompt Library, enterprise connectors, and applied AI for regulatory monitoring. The Prompt Library serves as the firm's AI blueprint, capturing approved instructions, review criteria, and institutional guidance that can be reused across teams and workflows. Rather than opening each document, prompting and chatting with AI, and recreating the same analysis, firms can define their approach once and apply it automatically across workflows. For example: * Asset managers autofill DDQs with their content library and alongside supporting documents stored in SharePoint * ODD teams automatically surface predefined illiquidity risks whenever a manager submits an offering document * Sustainability teams automatically map manager regulatory filings and EDI submissions to their ESG assessments * Legal teams review an LPA for investor rights relevant to a specific jurisdiction * Manager research teams generate governed investment committee memos from manager responses and source documents * Compliance teams monitor Form ADV Part 2 brochures, identify disclosure changes, explain their potential significance, and initiate follow-up These workflows reduce hours of manual searching and repeated AI interaction while improving consistency, efficiency, and governance. They also create a shared layer of institutional knowledge that can be applied across investment due diligence, operational due diligence, legal, compliance, tax, ESG, manager research, and investor communications. DV Assist 2.0 keeps users in control through defined review steps, approvals, source traceability, and human oversight. Client data remains isolated and is not used to train foundation models, while AI outputs remain connected to their underlying sources for review and auditability.
DiligenceVault has launched DV Assist 2.0, an AI platform for institutional investment diligence workflows. The system features agentic workflow automation, a Review Agent, and a governed Prompt Library that captures approved instructions and review criteria for reuse across teams. The platform enables asset managers to autofill due diligence questionnaires, operational due diligence teams to identify risks in offering documents, and compliance teams to monitor regulatory filings. It also allows sustainability teams to map filings to ESG assessments and legal teams to review limited partnership agreements. The update aims to help firms embed AI into workflows for manager reviews, document analysis, risk monitoring, and investment decisions. Client data remains isolated and is not used to train foundation models, whilst AI outputs remain traceable to their sources for auditability.
DiligenceVault has launched AI-powered change intelligence for Form ADV Part 2 brochures within its Form ADV Monitoring module. The capability is part of DV Assist 2.0, the company's next-generation AI suite for diligence and oversight workflows. The tool automatically alerts users when filings are updated, maintains brochure history, and uses AI to analyse changes. It classifies additions, removals and modified language, then generates plain-English summaries explaining the potential significance of each change. "A single material change can be buried inside a 74-page update, and overlooking it can create meaningful downstream risk," said Monel Amin, founder and CEO of DiligenceVault. The capability supports investment teams, operational due diligence professionals, compliance teams, and other industry stakeholders monitoring advisory firm disclosures.
New York, July 15, 2025 - In a disruptive step toward transforming how the asset management industry manages due diligence data exchange, DiligenceVault today announced the launch of its Standard Data Layer - Blaze Data Bridge ("Blaze").
New York, July 8, 2025 - DiligenceVault, the trusted digital diligence platform for asset allocators and asset managers, today announced the launch of its Document Intelligence Engine, a new AI-powered solution designed to relieve teams from the grind of document reviews, data extraction, and repetitive questionnaire responses.
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Industries
Data & Analytics
Enterprise Software
Fintech
AI & Machine Learning
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2014
Find jobs on Simplify and start your career today