Renarra AIWhere AI Meets Justice

Uncover Truth. Strengthen Evidence. Prevent Harm. Empowering all.

The Problem

Predators Are Using AI to Scale Crime. Survivors Arn't Getting Justice.

Every 9 min

A child is sexually assaulted in the U.S.

Source: RAINN / Polaris Project

0M+

Children affected by online sexual exploitation globally

Source: UN Report / Childlight 2024

0%

Increase in Child Sexual Abuse Material

Source: NCMEC 2024

0%

Year-over-year increase in trafficking cases

Source: HT Legal Center 2024

0%

Of trafficking survivors experienced childhood sexual abuse

Source: Polaris National Survivor Study

0%

Traffickers recruit through social media

Source: Thorn

"We're always talking about how we need to alleviate the burden on agents. And having this kind of run in the background where you're doing other stuff — I could see that being very useful."

— FBI Agent
FlagWatch
Our First Product

Introducing FlagWatch

FlagWatch triages millions of cybertips and automates undercover operations so law enforcement can focus on the cases that lead to convictions.

5-Year Outlook

Estimated Societal Impact Over the Next 5 Years.

$2.5B
societal value created
~$5M
societal value per trafficker caught (victim harm avoided, economic value restored, future exploitation prevented)
5,000+
victims saved
500+
traffickers convicted by 2030

Source: U.S. State Department, NCMEC, Renarra AI Financial Modeling

What Success Looks Like

Renarra success is measured in convictions, not detections.

More convictions

Faster investigation

Less investigator & survivor trauma

Demand reduction

How We Operate

What We Build. What We Don’t.

01

Evidence infrastructure, not surveillance infrastructure

Renarra detects predatory conduct and harmful patterns. We don’t monitor populations or build persistent tracking systems on innocent people.

02

Human judgment stays in control

Detection surfaces signals; people decide. No investigation moves forward without law enforcement authorization.

03

Built with survivors and investigators

Personas, evidence workflows, and risk thresholds are shaped by officers who run these cases and survivors who lived them.

04

Honest about trade-offs

Flags have consequences, and some will be wrong. We do not claim zero harm; we design for review, accountability, and proportionate decisions.

05

Law-enforcement-supervised deployment

Deployments happen in coordination with licensed law enforcement, with evidence standards shaped by the prosecutors who will use them.

Trusted By & Built With

Chicago Booth
Crown Family School, University of Chicago
Howard University School of Law — AI Initiative
Rustandy Center for Social Sector Innovation
Chicago Booth
Crown Family School, University of Chicago
Howard University School of Law — AI Initiative
Rustandy Center for Social Sector Innovation
John Edwardson, '72 Social New Venture Challenge
Winner of the Social New Venture Challenge

Built With Survivors & Law Enforcement.

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