We tell our children that a diet of junk food leads to poor performance. It seems the same is true for our artificial intelligence. The legal profession’s recent struggles with AI ‘hallucinations’—citing entirely fabricated court cases—highlights a fundamental truth: AI models fed a diet of unverified junk from the public internet will inevitably produce unreliable results. For the precise world of fund due diligence, that’s a non-starter.
An AI’s value isn’t in the algorithm alone; it’s in the quality of the data it can access. A generic model is a jack-of-all-trades but a master of none. To get reliable, expert-level answers, an AI needs access to a high-quality, domain-specific, and proprietary data set.
That is the core differentiator of the newly launched AssetQ React. It runs in tandem with our highly successful standardised DDQ model, bringing intelligent automation across the diligence spectrum. We are deploying React first to solve the most complex challenge—bespoke DDQ inquiries—and will be rolling it out to support our standard DDQs next.
Its power comes from its exclusive access to a superior set of ingredients: your own firm’s verified responses and documents already on the platform, combined with our integrated, independent quantitative data feeds. This is the ground-truth data that distributors actually need, not a guess from a public forum.
When AssetQ React pre-populates a DDQ, it provides citations directly back to the source data within our secure ecosystem. It turns your existing repository of high-quality information into an active, intelligent assistant. For RFP and research teams, this means you can finally trust the first draft, transforming your workflow from tedious data entry to rapid, expert validation.
Ready to stop digging for answers and start getting them? If your curiosity is piqued, reach out and we’ll show you what an AI powered by gourmet data, not garbage, can do for your team.