Clearview AI, the facial recognition company best known for scraping billions of photos from the public web, is testing a new prototype called InquiryIQ. Instead of just matching a face to a name, the tool uses an AI model from xAI โ€” the company behind Grok โ€” to build out a fuller picture: known associates, social media accounts, and other traces of a person's online life.

The project has not been publicly announced by either company. It surfaced through reporting on internal materials, and details remain limited. But the shift it represents is clear: facial recognition is moving from identification to something closer to automated profiling.

Clearview built its business by scraping images from social media and other public sites, then selling access to law enforcement agencies that could upload a photo and get a likely match. That practice already drew lawsuits, regulatory fines in Europe, and a landmark settlement in Illinois over biometric privacy law. InquiryIQ appears to extend that same database into a new layer โ€” using a large language model to search, summarize, and connect information about a person once they've been identified.

That combination โ€” face match plus AI-generated dossier โ€” is new in practice, even if each piece individually is not. Data broker tools have long sold background information to police and private investigators. What's different here is the speed and scale an LLM can bring to synthesizing scattered, publicly available data into a coherent profile of someone's relationships and habits, all triggered by a single photo.

Why it matters

Surveillance tools built for law enforcement have a well-documented tendency to migrate. Technology first marketed narrowly to police departments has repeatedly ended up in the hands of private investigators, employers, and eventually commercial vendors, often after the initial controversy has faded from headlines. Clearview itself followed that arc โ€” a tool pitched for catching criminals became a target of privacy lawsuits once it became clear ordinary people were being identified without consent.

The pairing of facial recognition with a general-purpose AI model also fits a broader pattern in the industry right now: AI companies licensing their models to other firms for specialized, high-stakes uses, often with limited public disclosure until reporters or researchers find out. It raises the same question each time โ€” who decides where these tools are used, and what oversight exists before they scale.

What this means for small businesses

Most small business owners aren't customers of Clearview. But the underlying trend โ€” AI tools that aggregate public data into instant profiles โ€” is already showing up in commercial products, including background-check and vetting services marketed to employers, landlords, and HR departments. If your business runs employee or tenant screening, expect more vendors to pitch AI-enhanced versions of these tools, often with vague explanations of what data sources feed them.

There's also a liability angle. States including Illinois, Texas, and Washington have biometric privacy laws that impose real financial penalties on companies that collect or use facial recognition data without consent โ€” even companies that didn't build the technology themselves, just licensed it. Before adopting any tool that touches facial recognition or identity matching, it's worth asking the vendor directly what legal basis they have for the data and whether your business inherits any compliance exposure.

Finally, consider the flip side: your employees, and possibly your business's public-facing photos, are part of the same scraped datasets these tools draw from. There's currently no reliable opt-out.

What to watch

Watch for whether xAI confirms or distances itself from the partnership, whether InquiryIQ moves from prototype to a paid product, and whether any state attorneys general or the FTC open an inquiry. Also worth tracking: whether Clearview begins marketing a version of this tool beyond law enforcement, which has historically been the point where broader regulatory and public pushback begins.

The bottom line

A law enforcement-only tool today has a track record of becoming a commercially available one tomorrow โ€” and the compliance risk for businesses that adopt AI-driven background or identity tools is worth reviewing now, before a vendor's fine print becomes your legal problem.