Backed by Konstantin Lomashuk’s Cyber Fund, and Sandeep Nailwal, co-founder of Polygon Network and Sentient: The Open AGI Foundation, among others, the company’s technology represents a critical new standard for industries such as healthcare, finance and government sectors, where data privacy and security concerns have limited AI adoption.
According to Cisco’s 2025 AI Briefing: CEO Edition, 70% of CEOs surveyed admitted being concerned about the state of their networks due to the rising adoption of AI, with 34% citing security as a major barrier to adoption.
Fully Homomorphic Encryption (FHE) ensures all communication between AI providers and end users remains encrypted, without needing to decrypt it. However, due to longstanding computational inefficiencies, FHE has yet to be widely adopted. By capitalising on the latest breakthroughs in the AI acceleration stack, Lattica has been able to leverage advanced acceleration techniques to operationalise FHE.
Led by founder and CEO, Dr. Rotem Tsabary, Lattica takes advantage of the foundational mathematical similarities between FHE and machine learning to offer a hardware-agnostic, cloud-based platform that uses FHE to deliver secure and private use of AI.
A key differentiator powering Lattica’s solution is its Homomorphic Encryption Abstraction Layer (HEAL), which enhances FHE performance and standardises its acceleration. Designed as a cloud-based service, HEAL serves as a universal bridge connecting FHE applications and AI algorithms across a diverse range of hardware including GPUs, TPUs and CPUs, as well as dedicated accelerators like ASICs and FPGAs.
“By combining the advancements of hardware acceleration with software-based optimisation, we realised that not only could we improve FHE efficiency to the point of commercial viability, but use it to solve critical data dilemmas holding back AI’s adoption in sensitive industries,” explained Dr. Tsabary. “We’re enabling practical FHE by developing a solution that is tailor-made for neural networks.”
As part of its emergence from stealth, Lattica has made demos of the platform available on its website, alongside insights from an in-depth survey within the FHE community. Survey results validate Lattica’s approach, revealing that a majority (71%) of respondents believe FHE adoption will be achieved through a combination of hardware and software.
“Lattica is pushing the boundaries of Fully Homomorphic Encryption, solving one of the most critical challenges in AI security,” said Konstantin Lomashuk, Managing Partner at Cyber Fund. “This is the kind of deep-tech innovation that defines the future.”
Lattica’s focus on healthcare and finance further underscores the platform’s relevance, with potential applications in secure data analysis for medical research and encrypted financial transactions.
“Lattica’s product-first approach fundamentally transforms sensitive data processing in the AI ecosystem,” said Sandeep Nailwal, co-founder of Polygon Network and investor in Lattica. “Lattica has made FHE a reality that is both practical and scalable, as Tsabary and her research team is proving that advances in the machine learning stack can significantly boost the performance of FHE and have an immediate impact on the market.”
