AI Native Data

AI Native Data LLC

AI Native Data builds the identity and intelligence infrastructure that lets companies recognize, understand, and reach their own customers — without depending on third-party cookies or walled-garden platforms.

The problem we solve

More than 95% of visitors to a typical website leave without identifying themselves. Businesses pay to acquire that traffic and learn nothing from it. Meanwhile, third-party cookies are disappearing and state privacy laws are reshaping what's permissible, leaving most companies with less visibility into their own audiences than they had five years ago.

Legacy data brokers address this with large manual workforces, heavy ETL overhead, and thin margins. We built the alternative: an autonomous, AI-operated data platform that ingests, normalizes, resolves, and activates identity at machine speed and software economics.

What we offer

Our platform runs on three connected products:

Data-as-a-Service — Direct licensing and marketplace distribution (LiveRamp, Snowflake, AWS) across 900+ premium data files and 350M+ verified consumer profiles, spanning CPG, automotive, healthcare, financial services, and real estate.

Intelligence-as-a-Service and the MJ AI Pixel™ — Our patent-pending deterministic matching technology, deployed as a single on-domain tag, resolves anonymous website visitors to verified individuals at an 80% match rate. Built on an identity spine of 8 billion identifier records, it is paired with Alpha Signals, our predictive scoring layer for purchase intent and financial triggers.

Activation-as-a-Service and the White Label Agency OS — A unified operating system that gives agencies identity resolution, data enrichment, and multi-channel activation — email, CTV, programmatic display, and direct mail — under their own brand, without building infrastructure.

How we make money

We operate a zero-CapEx model. Data is sourced through revenue-share agreements rather than purchased, so acquisition cost is effectively zero and margins scale with volume rather than headcount. Revenue comes from three streams: direct data licensing, recurring SaaS subscriptions with usage-based overages, and passive syndication revenue as audiences are distributed across connected programmatic platforms.

Who we serve

Enterprise brands, media networks, marketing agencies, healthcare organizations, and financial services firms — anyone whose growth depends on knowing who their customers actually are. Our platform is live across 300+ active pixel deployments, and our Agency OS extends our reach to each partner agency's full client base.

Compliance as infrastructure

Privacy compliance is designed into the architecture, not layered on afterward. We hold or have in progress state-level data broker licensure across all 50 states, and operate on direct-to-record first-party consent with documented provenance and identity-level suppression. In a market where enforcement is accelerating, that posture is a requirement for serious enterprise buyers — and a structural advantage over competitors retrofitting compliance onto legacy systems.

Team and credentials

AI Native Data is led by Charles P. States II (CEO & Founder), alongside Michael Brostoff (Managing Partner), Eric Nelson (Chief Strategy Officer), and Scott Brostoff (Chief Revenue Officer). Our engineering and AI organization is led by Jared Rubin (Head of Engineering) and Mathew Weiss (AI Leader), with operations under Ryan McGreevy and go-to-market led by Aaron Milner. Legal and regulatory strategy is directed in-house by J.P. Wilson, a former SEC attorney.

We are supported by an advisory bench drawn from across the data industry, including principals from M1 Data, RealSource Data, BettrData, Audience Acuity, BigDBM, and Avrick Data. Executed data supply partnerships include RealSource Data, BigDBM, Audience Acuity, Data Axle, M1 Data, and MediMobile.

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AI Native Data

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