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Deploying AI at Scale to Amplify Compliance Among Modern Organizations

Vero AI, an AI-native platform that evaluates both qualitative and quantitative data against any standard, has officially published a list of milestones it achieved during 2024.

According to certain reports, these milestones would turn the company into a industry leader in regards to helping enterprises leverage reasoning and problem-solving capabilities of artificial intelligence (AI) at scale, For instance, back in March 2024, Vero would launch an AI-driven solution dedicated towards empowering businesses to navigate the increasing complexity of compliance with regulations including SOX, HiTRUST, SOC 2, and various ISO standards.

This platform, when placed alongside the company’s industry-leading workforce of scientists, becomes well-equipped to analyze qualitative and quantitative data, including actionable insights that enable organizations to streamline compliance and stay ahead of evolving legislation.

Next up, Vero launched, during 2024, an AI-Native Analytical Engine. The stated engine can basically evaluate an enterprise’s qualitative and quantitative data against easily customizable criteria. This it does to let organizations of all sizes reap benefit from AI’s massive explanatory power and automation.

“In a world where 80% of information is unstructured, traditional methods of analysis only scratch the surface,” said Eric Sydell, PhD, CEO and co-founder of Vero AI. “Using large language models (LLMs) and other statistical techniques, Vero AI quickly, thoroughly, and objectively evaluates vast amounts of information at scale. We look forward to building on our success using AI to make sense of complexity, helping companies to stay ahead of existing and evolving regulations.”

Then, there was the arrival of Vero’s VIOLET Impact Model. The model in question is understood to follow a comprehensive framework centered on six core themes i.e. Visibility, Integrity, Optimization, Legislative Preparedness, Effectiveness, and Transparency. You see, in its current shape and form, VIOLET can offer users thorough and objective assessment of the effects left by algorithms and complex systems, whereas on other hand, the Vero AI platform can automatically evaluate these systems based on the VIOLET components.

Vero also published a report last year, a report which analyzed 10 leading generative AI models. The idea behind such an effort was to help enterprises better understand how each tool aligns with responsible AI and efficiency standards.

Another report published by Vero was of AI legislation and data privacy trends. Named as Regulating the Future: Responsible AI Legislation Trends and Predictions, this report would analyze over 70 state and federal AI regulations, all for showcasing Vero AI’s leadership in understanding the evolving regulatory landscape and assisting businesses in navigating those compliance challenges.

Hold on, there is more, considering we still haven’t touched on how the company also launched a specialized GRC solution. The stated solution was brought to the market with an intention of guiding global enterprises across all sectors in streamlining their compliance efforts through faster and more accurate results. Such a mechanism, like you can guess, makes it possible for these organizations to quickly analyze a broad range of documents and assess compliance with standards like ISO 27001, HiTRUST, and SOC 2, while simultaneously avoiding hallucinations and data privacy risks.

Founded in 2023, Vero AI’s rise up the ranks stems from being a first-of-its-kind analytical engine built to help enterprises process and understand both numeric data and unstructured information, such as text, in a fully automated, scaled, easy manner. The company’s proprietary technology, at the moment, can ingest information of all types and create meaningful, interpretable, reliable scores that allow users to know immediately whether their existing AI tools, algorithms, or any set of information is functioning across a range of customizable criteria.

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