The First Closed-Loop
Identity Graph
IdentityCore is a deterministic identity graph built to replace opaque, probabilistic intent scoring with measurable truth. Instead of inferring intent from billions of noisy URLs and an ocean of probabilistic IPs, we close the loop — and validate.
Some Scary Numbers Behind
the Average Identity Graph
Core consumer records degrade every year, eroding the foundation of identity resolution.
IP-to-identity mapping is fundamentally inaccurate at scale.
Cookie-based identity is structurally eroding — a 35% decline in just 2 years.
Billion-scale intent volume originates from a microscopic fraction of the network.
The identity infrastructure most brands
rely on is a house of cards.
Today's intent platforms
promise scale.
They ingest billions of URLs daily. They claim to see "surging intent." They score anonymous traffic using probabilistic models.
But scale has come at a cost:
The industry calls it intent.
In reality, it's inference layered on top of noise.
Why Intent Models Keep
Getting Worse
Modern intent platforms rely on fragile, compounding assumptions. The more data they ingest, the less precise the signal becomes.
Without identity-level confirmation, intent becomes assumption. And assumption compounds error.
There is no feedback loop.
No deterministic validation.
No accountability.
Just scoring.
Introducing Deterministic
Intent Infrastructure
Identity Core was built to solve this at the foundation layer. We created the first closed-feedback-loop intent model.
Deterministic Identity Resolution
Our proprietary identifier and real-time pixel infrastructure resolve individuals and companies with deterministic precision — not probabilistic stitching.
Verified Behavioral Outcomes
Intent classification is continuously tested against live downstream behavior — conversions, engagement, and measurable outcomes.
LLM-Enhanced Signal Validation
Large language models analyze and validate contextual signals before they enter the graph, filtering noise before it contaminates the model.
Continuous Model Refinement
Signals are not assumed to be correct. They are validated, scored, and recalibrated based on outcome feedback. Intent isn't predicted once — it is confirmed, tested, and improved over time.
Every Classification
Strengthens the Graph
Traditional Intent Platforms
Identity Core
IdentityCore Focuses On
Verified Identity Signals
Stronger Behavioural Signals
Across 3.7M vetted domain partners
Most intent feeds have a "signal dilution" problem with the majority of their signals coming from below 5% of the content partners inside their network. The IdentityCore graph focuses heavily on intent density to track real signals across a network amassing over 6x the average identity graph.
Closed Feedback Loop
To verify real signals
We focus on identifying true buyer signals, not just an LLM powered guess. This is achieved by not only tracking the first intent signal of an identity, but verifying an actual buying event and attributing it back to the core signal.
100M+
intent verification signals processed every 30 days
Offline Identity Verification
To stop data decay
In the United States over 15% of the population moves home every 12 months. Identity Core uses a continuous address verification system and 'geo framing' to make sure identity is consistent.
Intent Becomes
Infrastructure — Not Guesswork
Built By Operators,
Not Aggregators
Identity Core was founded by operators with over 20 years of combined experience building identity and data infrastructure companies. We've seen firsthand how probabilistic intent models degrade over time.
We built Identity Core to replace black-box scoring with a system grounded in measurable truth, deterministic resolution, and continuous verification.
The Future of Intent
Is Accountable
The industry doesn't need more data. It needs verified signal. Identity Core is building the deterministic layer the intent ecosystem has been missing.
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We're currently onboarding strategic partners. If you want to replace inference with verification, join us.