Polygraf AI closes $9.5M Seed Round led by Allegis Capital
Polygraf AI sets the benchmark for Sensitive Data protection, delivering maximum detection accuracy across PII, PHI and PCI data types and 70 percent fewer false positives than leading cloud tools like Amazon Comprehend, Microsoft Azure Information Protection, and Google Cloud DLP. In a real-world dataset of 3 million documents spanning 27 PII types (and several more sub-types), Polygraf achieved a 0.91 F1‑score (out-scoring others by up to 3x) and detected every data type in the set – coverage its closest competitor missed by 6 categories.
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Enterprise AI is moving from experimentation to accountability. As organizations scale AI in production, the focus is shifting from raw capability to efficiency, cost control, and operational sustainability. Energy usage,
Enterprise AI has entered a more pragmatic phase. CFOs are questioning initiatives they can’t cost-control or risk-model, while CISOs are blocking LLM deployments that require sensitive data to leave the
With the new $9.5M Seed round led by Allegis Capital, Polygraf AI is building the next generation of enterprise AI security—powered by its proprietary Small Language Models—helping organizations identify AI-driven
At Polygraf, we envision a future where AI augments human capabilities without compromising safety, privacy, or ethical standards. Trust in our commitment to building this future with you.
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