Enigmata, Inc., a Nashville-based cryptography company, has come out of stealth with $6.5 million in seed funding led by Blockchange Ventures to commercialize Cipher, a patent-pending system that lets AI models train, search and analyze information while the underlying data remains encrypted.
The privacy bottleneck AI keeps running into
Regulated buyers — banks, insurers, hospitals, pharma companies — sit on exactly the kind of proprietary information that could make an AI model more useful, and they cannot hand it over. Cipher is Enigmata's attempt to remove that trade-off: models train and infer directly on encrypted records, so plaintext never leaves the customer's boundary.
How the money will be spent
Founded in 2024, Enigmata says it is currently working with a small group of enterprise design partners and will use the seed round to harden Cipher for production speed, expand its research team and pursue additional pilots in financial services, healthcare and defense analytics. The company claims Cipher preserves model performance at production throughput — a claim that will need external validation.
Where Cipher fits
Enigmata's long-term vision is to turn encrypted-data access into an infrastructure layer, letting institutions license encrypted datasets for external model training under enforceable usage terms. That thesis rhymes with the wave of confidential-compute and privacy tooling raising capital alongside the broader AI-security push at Anthropic and CrowdStrike's Falcon Guardian.
What we're watching
Two questions dominate the next twelve months for Enigmata: whether Cipher's overhead lets customers use it inside real production workflows rather than benchmark demos, and whether Blockchange can attract a second-tier investor that specializes in enterprise security to co-lead a Series A.
Reporting based on coverage from PR Newswire, Tech Startups and FinSMEs.