OUR STORY
About LTX
LTX began at Lightricks after more than a decade of enabling hundreds of millions of users to create visually, we recognized that the future of creative production required more than powerful tools—it required new systems.
THE PROBLEM
The Shift
The Model
The Future
Professional creative production is constrained by high costs, slow iteration, and closed AI systems. As generative AI matures, enterprises need production-ready infrastructure that integrates with existing pipelines, scales reliably, and meets operational and security requirements.
LTX was created to meet those needs.
LTX is built on a foundation of deep creative expertise, proprietary AI research, and self-funded infrastructure.
LTX brings that experience to the enterprise, developing proprietary models, APIs, and platforms that support the full production lifecycle—from concept through final delivery.
At the core of LTX is our multimodal, open-weights model for video generation. Enterprises can finetune on proprietary assets, deploy locally or in private clouds to protect IP, and maintain architectural transparency and flexibility. Global adoption across studios and production teams validates openness as a secure, scalable foundation for professional use.
Through scalable APIs and platform services, LTX integrates into production pipelines, accelerating pre-visualization, reducing iteration costs, and improving turnaround times and creative quality.
LTX is building the creative AI infrastructure for the next generation of professional production—expanding into multimodal creation, archival enhancement, deeper enterprise integrations, and fully local AI inference.
Our long-term commitment is to deliver open, efficient, and production-ready AI systems that empower enterprises to move faster, create more, and retain full control of their creative process.
Zeev Farbman holds a PhD in Computer Science from the Hebrew University, where his published research focused on image optimization. He co-founded Lightricks and has led the company from its earliest days to a team of roughly 500 people and a $1.8 billion valuation. In 2024, he founded LTX to bring Lightricks' AI capabilities to market as a standalone venture.
Yaron Inger spent five years as a researcher and developer in the IDF's Unit 8200 before earning his Bachelor's in Computer Engineering and Master's in Computer Science from the Hebrew University. He led the team that built LTX-Video and LTX-2 from scratch, spanning diffusion architecture, VAE design, and the real-time inference stack, laying the technical foundation for LTX.
Nir Pochter earned his Master's in Artificial Intelligence from the Hebrew University. As co-founder, he built Lightricks' marketing function from the ground up, producing campaigns that Meta and Instagram have recognized as benchmark case studies. He oversees go-to-market strategy, brand, and distribution.
Daniel Berkovitz is a Unit 8200 veteran who holds a dual degree from Bezalel Academy of Arts & Design and the Hebrew University in Computer Science and Visual Communication. He studied at the School of Visual Arts in New York, interned under typeface designer Peter Bilak, and won a Type Directors Club NY award. He joined Lightricks as a UX designer in 2014 and rose through the ranks to become Chief Product Officer.
Shaul Meridor holds a BA in Philosophy, Political Science, and Economics from the Hebrew University. Before joining Lightricks as CFO in 2021, he served as Director General of Israel's Ministry for Infrastructure, Energy & Water and as Head of Budget at the Ministry of Finance, where he led major reforms in transportation and export policy.
Noa Rosenberg Segalovitz holds an LLB and BA in Economics from Tel Aviv University and an LLM in Corporate Law from NYU. She was a partner at Goldfarb Seligman and spent 15 years practicing corporate law at Covington & Burling. She went on to serve as VP and General Counsel at Tnuva, and was named to TheMarker's 40 Under 40 list. She joined Lightricks as General Counsel in 2021 and took on HR leadership in 2023.
