AI Gets an Audit Trail: Regis Promises Verifiable Business Intelligence

LONDON – June 30, 2026 – In a market saturated with AI assistants that promise intelligence but often deliver fiction, Global Database today introduced a tool built on a radically different premise: verifiable truth. The company launched Regis, a new conversational AI designed to answer complex business questions by drawing exclusively from live, official government registry data. Unlike its general-purpose counterparts, which can famously invent revenue figures or corporate officers, Regis is engineered to provide structured, source-backed answers, complete with timestamps and direct registry references. The launch signals a critical maturation point for AI in the enterprise, moving from a creative-but-unreliable partner to a trusted tool for high-stakes functions like compliance, risk assessment, and financial due diligence.

An AI That Cites Its Sources

The central challenge hindering widespread AI adoption in regulated industries has been the technology's propensity for “hallucination”—the confident assertion of plausible but incorrect information. For a compliance team verifying a company’s ownership or a sales team assessing a prospect's financial health, a guess is worse than no answer at all. Global Database tackles this problem head-on with a sophisticated technical architecture. Regis operates on an Agentic AI and Retrieval-Augmented Generation (RAG) framework, a system designed specifically to ensure data integrity.

Instead of relying on a single, monolithic model trained on a static, sprawling dataset from the open web, the RAG framework orchestrates multiple specialized AI agents. These agents work in concert to query Global Database’s proprietary, structured dataset of over 600 million company profiles in real time. The system retrieves relevant, verified information directly from its connections to over 400 government registries worldwide and then synthesizes that data into a coherent, natural-language answer. This process ensures that every piece of information presented is grounded in and traceable to an official source.

“AI has changed how people expect to access information, but business data is different,” said Nicolae Buldumac, Founder and CEO of Global Database, in the announcement. “When a compliance team, sales team, or risk team asks about a company, the answer cannot be a guess. It needs to come from a verified source, with a timestamp and an audit trail. Regis brings the simplicity of an AI assistant to the accuracy of official registry data.” This commitment to an auditable data trail—where every fact is timestamped and linked to its registry of origin—is what sets the tool apart, aiming to build a foundation of trust that has so far eluded generative AI in the corporate sphere.

Democratizing Due Diligence

For decades, comprehensive and reliable global business intelligence has been the domain of a few heavily fortified data empires. Incumbents like Dun & Bradstreet and Creditsafe built vast databases, but access has traditionally come with high costs, complex pay-per-record pricing, and restrictive licensing that can stifle broad internal use. Furthermore, their data quality can vary, often relying on a network of third-party partners for information outside of core regions, which can introduce delays and inconsistencies. Regis enters this established market as a significant disruptor, primarily by making its core functionality available for free.

By offering unfettered access to its vast repository of registry-sourced data, Global Database is effectively democratizing corporate intelligence. This move could level the playing field, empowering small and medium-sized businesses, startups, and individual researchers with the same caliber of data previously reserved for large enterprises with deep pockets. A startup can now trace a potential partner’s ultimate beneficial ownership (UBO) chain, a sales professional can build a targeted list of companies based on verified revenue and growth criteria, and a journalist can check a firm’s incorporation date and status with a simple, plain-English question.

The platform’s strength lies not just in its accessibility but also in the freshness and directness of its data. Global Database claims its connections to government registries are updated daily, with changes like new officer appointments or financial filings reflected within hours. This near real-time intelligence stands in stark contrast to the rolling update cycles of many legacy providers, offering a crucial advantage in fast-moving risk and compliance scenarios. By bypassing intermediaries and connecting directly to the “source of truth,” the platform aims to deliver a higher standard of accuracy and timeliness.

Beyond the Dashboard: The New BI Conversation

The launch of Regis also represents a significant evolution in how professionals interact with data. Traditional Business Intelligence (BI) has been characterized by complex dashboards, filters, and query builders that often require specialized training to use effectively. This creates a bottleneck where data analysis is confined to a small group of data specialists. Regis, with its ChatGPT-like conversational interface, dismantles that barrier.

Any user, regardless of technical skill, can now interrogate a massive, complex dataset by simply asking questions. Queries like, “Show me all software companies in Germany with more than 500 employees and positive EBITDA growth last year,” or, “Verify the registered address and VAT number for Acme Corp in France,” become straightforward conversations. This shift from querying to conversing promises to dramatically enhance efficiency and embed data-driven decision-making more deeply across organizations.

This trend toward conversational interfaces is reshaping professional software, and its application to business intelligence is a natural and powerful progression. By grounding AI's conversational power in the unassailable authority of official records, Regis is not just providing answers; it is fundamentally redefining the terms of trust between businesses and their data.