Lattica News
5 articles
growth-positive
Why Lattica’s $3.25M Bet on Fully Homomorphic Encryption Could Change AI Privacy Forever | HackerNoon
Lattica, a Tel Aviv-based startup, has secured $3.25 million in pre-seed funding to advance its Fully Homomorphic Encryption (FHE) technology, which aims to solve AIs privacy challenges by enabling secure computation on encrypted data. The funding round was led by Konstantin Lomashuks Cyber Fund, with participation from Sandeep Nailwal and Sentient: The Open AGI Foundation. Latticas platform targets sectors like healthcare and finance, where data privacy is crucial. The company’s Homomorphic Encryption Abstraction Layer (HEAL) optimizes FHE operations across various hardware, potentially transforming AI data processing. The funding positions Lattica to scale its platform and address performance inefficiencies in FHE, aiming for broader adoption in privacy-sensitive industries.
Investment
growth-positive
AI privacy startup Lattica emerges from stealth with FHE-powered cloud service
Lattica, a startup specializing in secure querying of AI models using Fully Homomorphic Encryption (FHE), has emerged from stealth mode. The company offers a cloud-based, hardware-agnostic FHE solution aimed at enhancing privacy and security in AI data processing. Supported by investors like Konstantin Lomashuk’s Cyber Fund and Sandeep Nailwal, co-founder of Polygon Network, Lattica aims to facilitate AI adoption in sensitive sectors such as healthcare, finance, and government. The company is in the R&D stage and focuses on overcoming data security barriers that hinder AI adoption. Latticas approach combines hardware acceleration with software optimization to make FHE commercially viable.
Product StageInvestment
growth-positive
Lattica, a Tel Aviv, Israel-based FHE-based platform enabling secure and private use of AI in the cloud, raised $3.25M in Pre-Seed funding
Lattica, a Tel Aviv-based company specializing in secure AI cloud services through fully homomorphic encryption (FHE), has raised $3.25 million in a Pre-Seed funding round. The investment was led by Konstantin Lomashuk’s Cyber Fund, with participation from angel investor Sandeep Nailwal and The Open AGI Foundation. The funds will be used to expand the companys operations and development efforts. Latticas platform allows for secure querying of AI models, ensuring that user queries remain encrypted throughout the machine learning inference process. The company is focused on applications in healthcare and finance.
InvestmentExpand
growth-positive
/PRNewswire/ -- Lattica, an FHE-based platform enabling secure and private use of AI in the cloud, has emerged from stealth with $3.25 million in pre-seed...
Lattica, a platform focused on secure AI usage through Fully Homomorphic Encryption (FHE), has emerged from stealth with a $3.25 million pre-seed funding round led by Cyber Fund. The companys technology addresses data privacy and security issues in sectors like healthcare and finance, which have hindered AI adoption. Latticas platform uses a Homomorphic Encryption Abstraction Layer (HEAL) to enhance FHE performance, making it commercially viable and scalable. The company aims to overcome AI security challenges by leveraging hardware acceleration and software optimization. The funding will support Latticas mission to transform sensitive data processing in the AI ecosystem.
InvestmentProduct Stage
growth-positive
Lattica enters market with FHE for AI privacy issues
Lattica has officially launched its cloud-based platform that uses Fully Homomorphic Encryption (FHE) to keep data encrypted while using AI models. This technology is crucial for sectors where data privacy is paramount, such as healthcare and financial services. The company, led by Dr. Rotem Tsabary, is backed by investors including Konstantin Lomashuk’s Cyber Fund and Sandeep Nailwal. Latticas solution, the Homomorphic Encryption Abstraction Layer (HEAL), enhances FHE performance and connects AI algorithms to various hardware types. The platform aims to transform data processing in sensitive industries by ensuring data remains encrypted throughout the machine learning process.
Product StageInvestment