Wednesday, 21 October 2026 at Hilton Tel Aviv
2018
9th Annual Summit
For nearly a decade, Lynx has been bringing together the tech, business, startup and enterprise ecosystems through industry-leading conferences, executive communities, curated meetings and innovation events.
Meet the first speakers joining Future of AI 2026. More announcements coming soon.
Future of AI 2026 is led by Ben Pelled, Founder & CEO, Lynx.
The Committee is chaired by Dr. Ayelet Ben-Ezer, CEO, Reichman University.
Agenda is subject to change.
Start the day over breakfast and coffee, meet fellow participants and explore the exhibition area before the program begins.
Meet the next generation of AI companies. Selected founders take the stage to present what they are building to leading investors, technology executives and industry experts.
Interested in applying? Review the criteria and submit your application here


Ben Pelled, Founder & CEO @ Lynx
A brief opening to the day and the big questions shaping this year’s Future of AI. Ben Pelled, Founder & CEO of Lynx, will welcome the audience together with the Main Stage MC and set the stage for the day ahead. Future of AI, now in its 9th year, brings together 1,000+ founders, builders, technology leaders and investors from across Israel’s tech ecosystem to explore where AI is heading next.

Keynote by ElevenLabs
Founded in 2022, ElevenLabs has rapidly become one of the world’s leading AI audio companies, reaching an $11 billion valuation in just four years. This keynote explores how voice and conversational agents are changing the way people interact with technology, and what happens when AI can listen, understand, speak and take action.

Asaf Green, Director of BD @ NTT Innovation Lab Israel
NTT is one of the world’s largest technology and telecommunications groups, with more than 340,000 employees worldwide. From its innovation lab in Israel, this keynote explores what global enterprises are really looking for from AI startups, and how partnerships with global corporations can unlock technology, customers and scale.

Four leaders look beyond today’s hype and make concrete calls on the next phase of AI, from agents and infrastructure to business, jobs and the technologies that could define 2027.
Meet speakers, partners and fellow participants over coffee, visit the exhibition and startup areas, and continue conversations before the parallel tracks begin.
A practical look inside a real enterprise AI implementation: what the organization set out to achieve, what worked, what failed, the lessons learned along the way, and what it really took to move from experimentation into production at scale.
Enterprise AI is moving from assistants that recommend actions to agents capable of executing them. What changes when autonomous systems begin participating directly in business processes and workflows?
Models are only one part of the emerging agentic stack. This session explores agents, enterprise data, tools, MCP, permissions, memory, observability and orchestration, and where companies should build versus buy.
After years of pilots and experimentation, boards want measurable results. Enterprise leaders discuss where AI is generating productivity, revenue and cost savings, and which projects remain difficult to justify.
Coding agents are moving deeper into the software development lifecycle. What happens to engineering workflows, developer productivity, code review and team structures when AI can increasingly build alongside us?

Dror Mizrachi, CTO & Lab Director @ Toga Networks, A Huawei Company
A live workshop following an AI agent from idea to working system, connecting context, tools, MCP, memory and evaluation while addressing the challenges that appear beyond the demo.
See how the different components work together, where agents typically break, and what it takes to make them more reliable, useful and ready for real-world environments.
The session will explore practical decisions around architecture, tool use, context management, testing and evaluation, as well as the trade-offs builders face when moving from a promising prototype to a working agent.
Expect a hands-on, technical session focused on how AI agents are actually built today: what works, what doesn’t, and the lessons that can save teams time when building their own agentic applications.
AI builders discuss the tools, architectures and workflows they are actually using today, from coding agents and context engineering to evals, models and the rapidly changing AI development stack.
AI agents can hold identities, access data, use tools and take actions across enterprise systems. What new security risks emerge when autonomous software becomes part of the workforce?
The attack surface is expanding as AI systems gain access to data and tools. A look at agent hijacking, context poisoning, data leakage, tool abuse and the vulnerabilities emerging in agentic applications.
AI is changing both sides of cybersecurity. This session explores how autonomous systems are being used across threat detection, investigation and response, and what the next-generation SOC could look like.



As models and agents spread across the enterprise, responsibility for AI security becomes increasingly fragmented. CISOs and technology leaders discuss ownership, identity, access, data protection and governance in an autonomous environment.
The AI boom is creating unprecedented demand for compute. GPUs, accelerators, networking, energy and data centers are becoming strategic resources, but where will the next infrastructure bottleneck emerge?
Training created the AI revolution, but running AI at massive scale creates a different set of challenges. This session examines inference cost, latency, throughput, model selection and the race to make AI economically scalable.
Powerful models are not enough. AI systems need the right context, memory, data and tools. Context engineering is becoming a critical layer of the modern AI stack, helping teams build more accurate, reliable and effective AI systems.
Open or closed models? Cloud or local inference? Large models or smaller specialized systems? Builders and infrastructure leaders debate which layers of today’s rapidly changing AI stack will become strategic – and which will become commodities.
AI is rapidly changing how machines perceive, decide and act in the physical world. A look at autonomous systems, computer vision, drones and what’s reshaping modern defense, from battlefield operations to autonomous capabilities.
Defense technology is being rebuilt around software, autonomy and intelligence. Leaders from across the ecosystem discuss drones, autonomous systems, edge AI and the emerging technology stack behind modern defense.
Some of Israel’s strongest technology companies begin with an urgent operational problem. How can defense and dual-use innovation move from real-world need to a scalable global technology business?


Startups can move quickly while governments and large defense organizations operate under different constraints. Founders & industry leaders discuss procurement, regulation, dual-use technology and the changing defense ecosystem.
AI is dramatically increasing what small teams can build. Could the next generation of global companies reach massive scale with a fraction of the employees – and what would that mean for founders, investors and organizations?
Israel has major strengths in cybersecurity, deep tech, defense and infrastructure, but faces intense global competition in AI. Founders and investors discuss where Israel can genuinely lead and what the ecosystem still needs to build.
What happens when AI becomes an everyday layer of work and life rather than a tool we occasionally open? A provocative look at how intelligent systems could reshape creativity, education, interfaces and human behavior.
When every employee, founder and creator has access to powerful AI, the advantage shifts from access to how we use it. Leaders discuss AI-native companies, productivity, management, solo entrepreneurship and the skills that become more valuable.
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