Integral Privacy Technologies announced that it has raised $25 million in total funding. The financing included participation from Venrex, The General Partnership, Array Ventures, GreatPoint Ventures, LiveRamp Ventures, Haystack, Virtue Ventures, Also Capital, Caffeinated Capital, LifeX Ventures, Circle & Co, and WS Investments.
Integral is building an independent privacy layer designed to make sensitive real-world data usable for AI. The company transforms real-world data into AI-ready assets for training, labeling, and enterprise AI applications.
Integral said the funding will accelerate deployment of its Forward Deployed Privacy Services.
The service embeds privacy engineering directly into customer data pipelines to activate real-world data safely for the AI economy.
Integral said the first generation of AI was built largely on public and human-curated data, while the next generation will increasingly rely on real-world datasets.
These datasets include health records, financial transactions, customer interactions, operational systems, codebases, and other proprietary sources.
The company said AI builders are seeking access to these datasets as public sources become more limited and AI moves deeper into expert domains and real-world use cases.
At the same time, enterprises are exploring opportunities to monetize proprietary data pipelines for AI applications.
But real-world data can be difficult to use because it often contains sensitive information, contractual obligations, and regulatory constraints.
Integral said the market need is shifting beyond masking and synthetic generation toward privacy engineering that preserves data utility while reducing risk.
The company’s approach is based on the belief that privacy and utility can be solved together through privacy engineering.
Integral’s Forward Deployed Privacy Services embeds statisticians, privacy engineers, software engineers, and methodologists into customer data pipelines.
The program performs entity-preserving remediation and transformation designed to reduce re-identification risk while maintaining longitudinal relationships, rare cohorts, and behavioral signals needed for AI applications.
It also independently measures privacy risk based on the specific dataset, use case, and recipient.
Integral said these assessments are continuously re-evaluated as data pipelines evolve rather than treated as periodic static reviews.
Where HIPAA applies, the company produces an Expert Determination under §164.514(b)(1) signed by a qualified statistical expert.
In other contexts, Integral produces a signed defensibility opinion or other documentation required for the use case.
Integral’s methodology is grounded in peer-reviewed statistical disclosure limitation research and was initially validated across healthcare, life sciences, and health data marketplaces.
The company now supports AI labs, data platforms, and vertical AI builders operating in highly regulated environments.
Integral said a leading pharmaceutical organization recently used its Forward Deployed Privacy Services to unlock a multi-source training dataset that had previously been considered too risky to use.
The new funding will support expansion of Integral’s privacy engineering and statistical methodology teams.
It will also support continued investment in entity-preserving linkage and continuous risk assessment infrastructure, along with go-to-market expansion across AI labs, data and annotation platforms, and enterprises participating in the real-world data economy.
KEY QUOTE:
“We spent the last four years solving this problem in healthcare, one of the most regulated data environments in the world. What we learned is that the hard problem was never access to the data. The hard problem was preserving the signal that makes data valuable while mitigating the privacy, regulatory, and business risks that prevent it from being used. That challenge now exists across every industry as real-world data becomes the next frontier for AI. This financing allows us to bring what we’ve built to the broader real-world data economy.”
Shubh Sinha, CEO and Co-Founder of Integral
