Lattica Emerges from Stealth with Innovative FHE Platform, Secures $3.25 Million in Pre-Seed Funding
On April 23, 2025, in Tel Aviv, Israel, Lattica, a pioneering platform utilizing Fully Homomorphic Encryption (FHE) for secure AI cloud services, announced its emergence from stealth along with the successful closure of a $3.25 million pre-seed funding round. The financing was spearheaded by Konstantin Lomashuk’s Cyber Fund, with notable contributions from angel investor Sandeep Nailwal, co-founder of Polygon Network and Sentient: The Open AGI Foundation, among others.
Lattica’s launch addresses critical privacy and security challenges that inhibit AI adoption across various sectors, including healthcare, finance, and government. A recent Cisco report, the 2025 AI Briefing: CEO Edition, highlighted that 70% of surveyed CEOs expressed concerns regarding the integrity of their networks amid escalating AI implementation, with 34% specifically identifying security risks as significant barriers.
FHE, often termed the "holy grail" of cryptography, allows encrypted communication between AI service providers and users without requiring decryption. However, widespread adoption has been hindered by historical computational inefficiencies. Lattica aims to change this by leveraging cutting-edge advancements in AI acceleration to enhance FHE operational capabilities.
Founded and led by Dr. Rotem Tsabary, who holds a PhD in lattice-based cryptography from the Weizmann Institute of Science, Lattica capitalizes on the mathematical parallels between FHE and machine learning. This innovation leads to a cloud-based platform that offers FHE as a hardware-agnostic service, thus promoting secure and private AI usage.
A distinguishing feature of Lattica’s solution is the Homomorphic Encryption Abstraction Layer (HEAL). This cloud service enhances FHE performance while standardizing its acceleration, acting as a universal connector between FHE applications and various AI algorithms across diverse hardware configurations—including GPUs, TPUs, CPUs, and specialized hardware like ASICs and FPGAs.
Dr. Tsabary remarked on their dual focus on integrating both hardware acceleration and software optimization to not only advance FHE efficiency to a commercially viable level but also to address pressing data security dilemmas that hinder AI deployment in sensitive sectors. "We are enabling practical FHE by developing a solution that is tailor-made for neural networks," she stated.
In conjunction with its announcement, Lattica has provided demos of its platform on its website, along with insights drawn from an extensive survey conducted among the FHE community. Results indicated that a substantial 71% of participants believe that FHE adoption will be spurred by a blend of hardware and software solutions.
Konstantin Lomashuk from Cyber Fund emphasized the critical role of Lattica in advancing FHE, labeling it as a vital innovation for the future of AI security. He expressed enthusiasm about Cyber Fund’s leadership in Lattica’s pre-seed funding, solidifying the company’s position as a driver of deep-tech innovation.
Lattica’s targeted industries highlight the platform’s significance, especially in secure medical data analysis and encrypted financial transactions. Sandeep Nailwal reinforced this notion, asserting that Lattica’s product-first strategy revolutionizes the processing of sensitive data within the AI landscape, demonstrating how advancements in machine learning could significantly amplify FHE performance.
Lattica is positioned as a leader in the realm of secure AI computation, promising innovative solutions that facilitate encrypted querying of AI models while maintaining user data privacy throughout the machine learning inference process. The company is headquartered in Tel Aviv and invites interested stakeholders to explore more at www.lattica.ai.
For further inquiries, contact Jordan Chaim at InboundJunction ([email protected]).
