Technical Whitepaper: Production-Ready Performance
This whitepaper covers our tensor programming model, benchmarks, and extensibility to custom hardware. Models run directly on encrypted data.
Read More →Latest insights, announcements, and developments from LatticaAI
This whitepaper covers our tensor programming model, benchmarks, and extensibility to custom hardware. Models run directly on encrypted data.
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How Lattica and Sunscreen make TFHE practical for SaaS teams that need exact, policy-heavy logic over encrypted data.
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We are excited to announce HEAL 1.0, with integer-only tensor runtime, enhanced support, and updated documentation for production integration.
Read More →Lattica surveyed cryptographers, engineers, and researchers to understand where FHE is headed. The responses reveal a mix of optimism and skepticism: progress is happening, but challenges remain.
Read More →We're excited to announce our new reference workloads catalog and extensible architecture. Developers can now leverage pre-built encrypted workloads or build custom solutions using our comprehensive SDKs and APIs.
Read More →Our patented Homomorphic Encryption Abstraction Layer (HEAL) is revolutionizing how encrypted compute interfaces with acceleration hardware. Discover how HEAL ensures your workloads automatically benefit from the latest hardware innovations.
Read More →LatticaAI has achieved a major performance breakthrough, delivering encrypted compute that's 32,412x faster than baseline implementations. This milestone makes FHE practical for production workloads.
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Explore how organizations are using encrypted compute to enable privacy-preserving AI applications. From healthcare data analysis to financial services, learn about the transformative potential of FHE.
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LatticaAI's encrypted compute platform is now available for production deployments. Built on GPU-accelerated FHE and HEAL, the platform provides everything needed to deploy, manage, and scale encrypted workloads.
Read More →A comprehensive overview of the current state of FHE technology, recent advances, and what the future holds. We discuss performance improvements, new use cases, and the growing adoption of encrypted compute.
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