Accelerating real‑world data pipelines
Independent Expert Determination and privacy engineering across the real-world AI data supply chain. Making real-world data move at the speed AI requires.
14B+
PHI entities processed across regulated datasets to date
94.2%
Data utility preserved on average across all datasets
4 Days
Average Expert Determination timeline vs. 3-6 months traditionally
The Real-World Data Supply Chain
We operate across every node
Integral touches the full lifecycle - from origination through deployment. Not a narrow layer. An independent enablement and assessment layer across every node.
Data Originators
Health systems, payers, enterprise data holders
Brokers & Marketplaces
Aggregation, packaging, licensing
De‑ID & Privacy Engineering
Remediation, transformation, Expert Determination
Labeling & Annotation
Human exposure, RL environments, evals
Model Training
Pre-training, fine-tuning, benchmarking
Enterprise AI Apps
Runtime data flows, agent pipelines
The Platform
What makes regulated data move at AI speed
Every regulated dataset that enters an AI pipeline needs assessment scoped to the use case, the architecture, and the downstream exposure context. We make that fast.
Expert Determination
Formal, signed opinion based on qualified statistical analysis. Scoped to your dataset, model architecture, and recipient class. Audit-ready. Not a blanket approval - a defensible, use-case-specific assessment.
Privacy Engineering & Remediation
De-identification that preserves the signal your model needs. We engineer precise, defensible transformations - preserving analytical value while ensuring strong privacy posture.
Continuous Compliance
AI pipelines are continuous. Compliance can't be episodic. Re-assessment when datasets refresh, new joins occur, or models deploy in new contexts. A loop, not a gate.
Remediation Preview
See what your dataset looks like after de-identification before committing capital. Utility tradeoffs surfaced in days, not months. Pre-transaction intelligence.
Data Discovery & Access
Navigate the regulated data landscape. Understand what data is available across claims, EHR, imaging, and specialty domains, and how it can be leveraged for your applications.
Red Teaming & Risk Research
Flywheel between testing exploits and prescribing mitigations. LLMs form linkage without JOIN keys. We measure the risk surfaces that traditional privacy engineering misses.
Who we serve
Built for every node in the regulated data supply chain
Different pillars, different bottlenecks. One independent infrastructure layer.
P1
Model Builders & Frontier Labs
Compliance blocks data velocity. Enterprise buyers require audit-ready posture. We accelerate acquisition and unlock procurement.
P2
Data Labelers & Training Vendors
You move fast but don't want to own privacy risk. We assess under defined assumptions. You retain operational responsibility.
P3
Data Brokers & Marketplaces
Compliance friction limits reuse and slows deals. Expert Determination converts inventory into assessed, commercially ready infrastructure.
P4
Enterprise AI Applications
Your AI app processes customer data at runtime. Your buyer's procurement team requires proof. We provide it.
Get started
Your pipeline is moving. Make sure it's defensible.
Start with a Remediation Preview - see what your dataset looks like after de-identification before committing a dollar.