Luthor is the AI-powered marketing compliance platform for regulated industries. We replace fragmented review workflows with a single system that reviews, enforces, and logs every piece of marketing content the moment it’s created.

The problem we're solving

Generative AI has made content creation effortless. Compliance review has not kept up.

Marketing teams are producing content across websites, social media, email, ads, PDFs, video, and sales collateral at unprecedented scale, while compliance teams are still relying on manual reviews, disconnected tools, and reactive processes.

This gap is now one of the largest and fastest-growing sources of enterprise risk. A single unverified claim, missing disclosure, or policy violation can lead to regulatory scrutiny, reputational damage, delayed launches, and costly remediation.

How we solve this problem

Luthor closes the gap between content creation and compliance enforcement.

Our platform automatically reviews marketing content against company policies, regulatory requirements, and approved source material before anything goes live. We detect risky claims, missing disclosures, prohibited language, licensing issues, and policy violations across every major content format and communication channel.

Every review is logged, traceable, and audit-ready by default — giving compliance teams complete visibility while enabling marketing teams to move at AI-era speed.

Trusted by asset managers, RIAs, lenders, banks, and credit unions to scale compliant content production across SEC, FINRA, FTC, UDAAP, and other regulatory frameworks.

Why we're hiring

AI is fundamentally changing how enterprises create and distribute content. The volume of regulated communications is exploding, and legacy compliance workflows cannot scale to meet it.

We’re building the system of record for marketing compliance — the control layer between what companies generate and what they can confidently stand behind.

Backed by Y Combinator and growing quickly, we’re hiring ambitious builders, operators, and domain experts who want to define how regulated enterprises operate in the AI era.