AI Privacy Startup Lattica Secures $3.25M Pre-Seed Funding from Cyber Fund to Revolutionize Data Protection
Lattica, an innovative cloud-based platform, is revolutionizing the secure and private use of artificial intelligence (AI) through the implementation of Fully Homomorphic Encryption (FHE). Recently emerging from stealth mode, Lattica has secured $3.25 million in pre-seed funding, aimed at advancing its ambitious goals in the AI landscape.
Funding and Backing for Lattica
The funding round was led by Konstantin Lomashuk’s Cyber Fund, with notable contributions from angel investor Sandeep Nailwal, who is also the co-founder of Polygon Network and Sentient: The Open AGI Foundation. This financial boost is set to propel Lattica’s efforts in developing its pioneering technology.
Addressing Data Privacy Concerns
Lattica’s platform aims to tackle pressing issues in sectors such as healthcare, finance, and government, where data privacy and security concerns have hindered the adoption of AI technologies. By leveraging FHE, Lattica ensures that all communications between AI providers and end users remain encrypted, eliminating the need for decryption during operations.
Plans for Development and Expansion
With the new funding, Lattica is focused on:
- Enhancing its FHE-based platform
- Improving secure data processing capabilities
- Scaling operations across various hardware infrastructures
This strategic development aims to make secure AI practical and accessible for industries that handle sensitive information.
Innovative Technology Behind Lattica
Dr. Rotem Tsabary, Lattica’s founder and CEO, holds a PhD in lattice-based cryptography from the Weizmann Institute of Science. One of the key innovations of Lattica is its Homomorphic Encryption Abstraction Layer (HEAL), a cloud-based service designed to enhance FHE performance. This technology provides standardized acceleration across various hardware types, including GPUs, TPUs, CPUs, and specialized hardware like ASICs and FPGAs.
Community Engagement and Findings
As part of its launch, Lattica has also shared demo applications and published results from a community survey focused on FHE. The survey highlighted a growing consensus that integrating hardware and software is vital for making FHE commercially viable.
Vision for the Future
Dr. Tsabary stated, “By combining advancements in hardware acceleration with software optimization, we can not only enhance FHE efficiency to achieve commercial viability but also address critical data dilemmas that impede the adoption of AI in sensitive sectors. Our aim is to develop practical FHE solutions tailored for neural networks.”
For more information on Lattica and its technology, visit their official site or check out related resources on Forbes Technology and MIT Technology Review.