Lattica’s Mission: Making Private AI a Reality with the Power of Fully Homomorphic Encryption
In the buzz-heavy world of AI and cybersecurity, it’s not every day a company steps out of stealth mode and immediately makes you rethink what’s possible. But that’s exactly what Lattica, a Tel Aviv-based startup, is doing with its bold take on Fully Homomorphic Encryption (FHE)—a once-theoretical cryptographic marvel now finally ready for prime time.
If you’re in healthcare, finance, or public sector IT, this is the product spotlight you didn’t know you needed.
From Cryptography Labs to Cloud-First Practicality
Let’s rewind a bit.
Fully Homomorphic Encryption (FHE) has long been called the “holy grail” of privacy-preserving computation. It lets you perform computations on encrypted data without ever decrypting it—like sending a locked box to a chef and still somehow getting a cooked meal back.
For years, FHE was more of a math geek’s dream than a commercial product. It was brilliant but wildly inefficient for real-world use. But then along came Dr. Rotem Tsabary, a cryptographer with a PhD from the Weizmann Institute and a serious mission: make FHE usable—and fast.
Her brainchild, Lattica, is turning that vision into something tangible and scalable. Their platform allows users to query AI models while keeping all their data encrypted from end to end. No decrypting. No data leaks. No breaches in privacy. Just math and magic (OK, and a ton of engineering).
“Neural Networks, Meet Encryption”
At the heart of Lattica’s approach is HEAL—the Homomorphic Encryption Abstraction Layer. It’s a clever bit of engineering that acts like middleware, bridging AI algorithms with all kinds of hardware backends (GPUs, TPUs, ASICs—you name it). The result? FHE that actually performs.
As Tsabary put it, “We’re enabling practical FHE by developing a solution that is tailor-made for neural networks.” That means faster, secure AI that fits into existing infrastructure without a total rebuild.
The Community Is Buying In
In a survey of FHE experts that Lattica released alongside their product demos, 71% of respondents agreed that the future of FHE lies in a blend of hardware and software acceleration—precisely Lattica’s sweet spot.
This sentiment was echoed by big names backing the company, like Cyber Fund’s Konstantin Lomashuk, who said, “Lattica is pushing the boundaries of Fully Homomorphic Encryption… This is the kind of deep-tech innovation that defines the future.”
And it’s not just investors taking note. Sandeep Nailwal, co-founder of Polygon and fellow backer, summed it up: “Lattica’s product-first approach fundamentally transforms sensitive data processing in the AI ecosystem.”
The Anecdote: How a Math Problem Became a Mission
Here’s where it gets fun. Tsabary’s journey started not in a boardroom, but deep in academic research, poring over the limitations of lattice-based cryptography. It wasn’t supposed to be a business—it was a passion project. But as she watched AI race ahead and data privacy fall behind, a lightbulb moment hit: What if we could use the same math powering these privacy proofs to actually accelerate machine learning?
One prototype led to another, and suddenly, solving FHE’s efficiency problem wasn’t just possible—it was commercially viable.
Why This Matters Right Now
According to Cisco’s 2025 AI Briefing, 70% of CEOs say they’re worried about the security risks tied to AI adoption. That’s not a small number—and it’s not a small problem.
Lattica is stepping into this moment with a solution tailor-made for industries sitting on the AI sidelines due to privacy concerns. Think: encrypted medical research, secure financial modeling, classified government AI inference—all handled in the cloud, fully encrypted.
What’s Next?
Lattica’s platform is now live for demos, and the team is inviting users to test the future of private AI for themselves. As more organizations grapple with securing AI pipelines, expect this startup to become a serious player in the space.
To learn more and try the demo, visit www.lattica.ai.
About the Author
Pete Green is CISO / CTO at Anvil Works a ProCloud SaaS. He has over 20 years of experience in Information Technology related fields and is an accomplished practitioner of Information Security. He has held a variety of security operations positions including LAN / WLAN Engineer, Threat Analyst / Engineer, Security Project Manager, Security Architect, Cloud Security Architect, Principal Security Consultant, Manager / Director of IT, CTO, CEO, Virtual CISO and CISO. Pete has worked with clients in a wide variety of industries including federal, state and local government, financial services, healthcare, food services, manufacturing, technology, transportation, and hospitality.
Pete holds a Master of Computer Information Systems in Information Security from Boston University, an NSA / DHS National Center of Academic Excellence in Information Assurance / Cyber Defense (CAE IA / CD), and a Master of Business Administration in Informatics.
