Lightricks splits model and app divisions as AI costs force restructure
Lightricks is splitting its consumer Facetune app business from its LTX generative AI video division and cutting 75 jobs, impacting 17% of employees. This restructuring aims to clarify business models amidst high operational costs and investor pressure, with co-founder Zeev Farbman focusing on LTX and Asaf Porat leading Facetune. The move shifts LTX towards enterprise licensing of its AI video models to large tech companies and Fortune 500 clients.
Key Takeaways
- Workforce reduced to 350 employees, down from a 2022 peak of nearly 700 staff.
- Facetune consumer business generates $300 million in revenue with 20% annual growth.
- LTX division will pivot to enterprise licensing, already yielding tens of millions in annualized revenue.
- Leadership split places co-founder Zeev Farbman over LTX and Asaf Porat over Facetune.
- Company has invested $150 million into AI modeling to compete with OpenAI and Google.
Why It Matters
This split signals the end of the 'all-in-one' startup era for creative AI. By isolating its cash-flow-positive consumer apps from the heavy compute costs of generative video, Lightricks is insulating its core business from the R&D volatility of the frontier model race. For the broader ecosystem, this move validates enterprise licensing as a more sustainable path for mid-sized players than direct consumer model hosting. Watch if Lightricks can maintain its developer interest after moving toward a closed enterprise-first model, especially as open-weight competitors like Kling and Seaweed gain 2026 market share.
Additional Context
The restructuring at Lightricks aligns with a broader consolidation across the Israeli tech ecosystem. Per Calcalist in June 2026, several high-profile firms have recently executed major workforce reductions to redirect capital toward AI infrastructure, including Wix cutting 1,000 jobs and Skai reducing 20% of its staff. This shift reflects a pivot from experimental AI pilots to scaled production environments, where the primary challenge is no longer just model capability but the immense cost of maintaining enterprise-grade reliability. Simultaneously, the competitive landscape for video generation is intensifying. Per G2 reports from May 2026, LTX Studio now competes in a market where specialized tiers are the standard; LTX's own pricing recently shifted to include access to Google’s Veo 2 and Veo 3 models for pro users. This trend suggested that even early leaders like Lightricks are now forced to bundle third-party models alongside their own proprietary technology to meet enterprise demands for flexibility and compliance. Industry analysts at NVIDIA’s 2026 State of AI report noted that telecommunications and media companies have reached nearly 48% deployment of agentic AI workflows. For Lightricks, the move into hardware-adjacent AI—using video models to train robotics for physical tasks—represents an attempt to capture this new enterprise automation market. By splitting into two entities, Lightricks can pursue these high-risk physical AI bets through its LTX division without disrupting the steady subscription revenue of its legacy consumer photo and video products.
Read full article at startupfortune.com
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