The smart choice
for M&A dealmaking
DealCentre AI is the first intuitive dealmaking solution for every phase of your deal. Powered by Link, our AI engine, DealCentre AI gives you an extra edge, enabling you to work faster and tackle every deal pain point.

AI security approach
How long has Intralinks been developing AI solutions?
In 2018, we began investing in developing of our own proprietary AI infrastructure and solutions.
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Does Intralinks use ChatGPT? Does Intralinks partner with an external party?
No. Having invested in developing organic AI solutions for over five years, we do not rely on or ship data to third-party providers.
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What large language models (LLMs) does Intralinks use?
We manage several of our own LLMs, ensuring that customer data never leaves the virtual data room (VDR). Additionally, we rigorously enforce our strict security practices regarding data tenancy
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How does Intralinks Manage data security and privacy?
We curate several of our own models, and customer data never leaves our environment. Our strict, multi-layer customer data security practices are continually enforced.
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Is my information viewable to other Intralinks customers?
We have implemented safeguards to ensure that models only respond to content a customer has access to. This eliminates the possibility of another customer viewing your information.
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How does Intralinks train their AI models?
We use various generally accepted methods to enhance the models we select, including techniques like few-shot learning and reinforcement learning.
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Do the Intralinks models get better over time?
Yes. Thanks to a variety of methods we deploy along with ongoing technological advancements, the models are designed to continually improve over time.
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Does Intralinks use my data to train, re-train or improve your AI models?
No, we never use any customer data to train, re-train or improve our models. Your data is always safe and protected within our ecosystem.
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How many models does Intralinks use? How does Intralinks select models?
We deploy a constellation of models. Each model is selected for a specific purpose on our platform. The selection process starts with a benchmark study for proof of efficacy in our lab environment before proceeding to further, more in-depth training.
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How does DealCentre AI compare?
Feature | DealCentre AITM | Primary VDR Competitor |
---|---|---|
First purpose-built, end-to-end AI-powered platform for dealmaking | ||
Manage every phase of the deal lifecycle within a single unified platform | ||
Maintain complete visibility of all deals in your pipeline, from inception to close | ||
Launch deals in minutes with self-launch Deal Prep | ||
Easily identify and remove duplicative tasks in-platform to save time | ||
Activate Marketing directly within DealCentre AI for seamless buyer outreach | ||
Perform in-app conversion to PDF | ||
Run Document Analyzer tool to quickly identify password-protected docs | ||
Manage buy-side checklists | ||
Easily maintain internal notes, documents and tasks related to your deal | ||
Harness a suite of AI-enabled document features, including document categorization, summarization, keyword extraction, PII identification and translation | ||
Engage with our generative AI solution to ask specific questions and speed your deal process | ||
Store and access data from past deals performed within the platform | ||
Leverage AI-driven analytics and insights from previous deals to guide future activity | ||
Optimize team resources with end-to-end deal transparency | ||
Easily share critical information between deal members directly within the platform | ||
Simplified permission management and client document collection capabilities | ||
First provider to secure ISO 27701 certification, the highest standard of data privacy | ||
Incorporates cutting-edge AI innovations resulting from over $200M in R&D investments since 2018 | ||
Backed by SS&C Technologies, the world’s largest alternative asset administrator and global fintech leader | ||
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The new reality: AI and dealmaking

View Transcript
Q: Ronjohn, welcome back. Since we last spoke a year ago, what’s changed in the world of AI and dealmaking?
A: A lot has changed. Last year, we were mostly talking about AI in theoretical terms—people were exploring and trying to understand how to use it. But over the past year, we've seen a shift from exploration to true acceptance and implementation. Major financial institutions now have full teams dedicated to figuring out how to integrate AI into their workflows. The speed of adoption has been surprising. Unlike the gradual shift from physical documents to the cloud, AI has been adopted and implemented rapidly, with firms now realizing its value and putting it to work in real scenarios.
Q: Some people argue AI is a solution looking for a problem. What real dealmaking pain points is AI solving today?
A: That’s a fair critique for some technologies, but in the case of dealmaking, AI is solving significant problems—especially around document and information analysis. Deals take time because of the sheer volume of information that must be reviewed. AI started by helping summarize documents but has quickly evolved to analyzing information and generating insights that would otherwise take months to uncover. It now goes a step further by recommending decisions or highlighting areas to explore, saving time and improving the quality of decisions.
Q: For dealmakers who are still hesitant or overwhelmed, what are some tangible first steps they can take to adopt AI?
A: The first step isn’t to look for AI tools—it’s to look inward. Evaluate all internal processes and identify where inefficiencies lie. This means mapping out the entire dealmaking process from start to finish and pinpointing areas that consume the most time or resources. Once you understand your operational landscape, you can then start looking for AI solutions that target those specific gaps.
But don’t stop there—when testing AI tools, ensure they can be implemented at scale and within existing workflows. A tool that works in isolation but disrupts your system can create more problems than it solves. Integration and scalability are key to successful AI adoption.
Q: Any final thoughts on how you see AI continuing to evolve in dealmaking?
A: It’s an exciting journey. AI is already transforming how deals are processed by enhancing speed, accuracy, and decision-making. As more people adopt and experiment with these tools—and do so in a structured, strategic way—I believe we’ll uncover even more impactful use cases in the near future.
Dedicated customer service
A single point of contact who knows your business and your deal, backed by a global team supplying expert guidance.
Client assist team
We do the heavy lifting — from setup through closing — so you can focus on the deal.
Bespoke service options
Get the level of support you need — from online, on- demand response to complete, tailored service team integrations.
After-hours support
Global, comprehensive support no matter where you are or how late you’re working.
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