LATTICA BLOG
Research, releases, partnerships, and the occasional behind-the-scenes note from the team building production-ready encrypted compute.
A new community benchmarking suite measures realistic workloads, not just primitives. Lattica has contributed to ML inference and encrypted vector search benchmarks, because shared reporting matters.
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Lattica's 2nd FHE Landscape Survey highlights evolving commercial use cases, CKKS adoption, and practical signals for production FHE.
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We're partnering with Sunscreen to make TFHE practical for production SaaS. Sunscreen brings the Parasol compiler; Lattica brings the runtime, key lifecycle, and deployment surface.
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Two years of research and engineering, written down. How Lattica re-engineers FHE for accelerators, integrates with modern ML, and keeps keys on the client.
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HEAL is the integration layer that lets GPU, FPGA, and ASIC teams plug their hardware into Lattica's FHE stack. A reference CPU implementation, unit-test packs, the runtime, example transcripts, documentation, and direct support: everything a hardware team needs to ship a backend.
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Lattica steps out of stealth with $3.25M in pre-seed funding to make Fully Homomorphic Encryption practical for AI workloads in the cloud.
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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.
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