Clearview AI has developed an internal prototype called InquiryIQ, designed to take a facial-recognition hit and automatically build a broader digital portrait of the person identified. No law-enforcement agency has used it. According to Wired, Clearview has not marketed or shipped the tool and has no current plans to release it in its present form. The prototype matters anyway, because its design reveals where this category of surveillance app software is headed.
How InquiryIQ Extends a Face Search
The existing Clearview workflow hands investigators a match and a set of links; all follow-up research is manual from there.
InquiryIQ is a prototype designed to automate that follow-up. Investigators can add demographic details before the search begins: age, gender, race, hair color, and eye color. The system then fans out across the web on its own, browsing webpages, analyzing images it encounters, and applying Clearview’s facial-recognition engine to newly found photographs, according to Biometric Update and Wired.
The output is what the prototype calls a “Candidate Graph,” a structured network of possible identities and connections assembled around the original subject. According to interface descriptions, the Candidate Graph can surface:
- Possible identities and aliases
- Addresses and phone numbers
- Employer information
- Social media accounts
- Arrest histories
Clearview’s documentation reportedly shows that demographic inputs are meant to help the system make “smarter decisions,” though neither the company nor available materials clearly explain how those inputs concretely shape results or accuracy. The interface also included selectors for xAI’s Grok model and Amazon Bedrock. Clearview says those options were present for internal engineering comparisons, not as choices available to police users in any deployed product.
The Friction That Disappears
Manual investigative work once made indiscriminate searching expensive in time and labor; automation changes that equation.
Law professor Andrew Guthrie Ferguson has described tools like InquiryIQ in terms worth noting. “This type of automated investigation can be described as ‘digital rummaging,’” he said, according to reporting by Cyber Warriors Middle East, a characterization consistent with his broader published work on AI and policing. The concern is specific: manually connecting someone’s aliases, addresses, social accounts, and associates across dozens of websites required real effort, and that effort acted as a practical brake on how many people investigators could sweep into a broad search. Remove the friction, and the cost per additional target drops sharply.
Privacy scholar Woodrow Hartzog has argued, as reported by Time, that existing privacy rules were built for a world where governments faced practical limits on tracking digital trails. AI-driven profiling erodes those assumptions, potentially outpacing safeguards designed around them. Parallel concerns have emerged around tools that are secretly tracking users without their knowledge.
Clearview’s design does include a human-verification requirement. The prototype’s interface warns that demographic, social-media, and arrest information “may or may not be accurate,” and investigators are expected to review and independently confirm findings before anything enters an official profile. Privacy experts warn, however, that if investigators grow accustomed to treating AI-generated profiles as authoritative, human review can become a formality rather than a genuine check.
One potential upside: AI-assisted tools could produce more complete audit trails than undocumented manual searches, making investigations easier to review after the fact. An audit trail records what happened, though. It does not establish whether the original search was lawful or proportionate. Communities pushing back against automated tracking tools have raised similar concerns , San José’s Flock Problem illustrates how local resistance to license-plate surveillance is shaping the broader public debate.
InquiryIQ’s real-world error rates, accuracy, and investigative impact remain unknown because the tool has never been deployed. Clearview CEO Amos Kyler told Wired directly: “InquiryIQ is a prototype that has never been offered or shipped to customers and is not planned to be released in its current form.” What the prototype establishes is a design ambition, closing the gap between identifying a face and assembling a dossier around it. That ambition alone will shape the terms of the oversight debates ahead.
