Nasiko at Berkeley RDI's Agentic AI Summit 2026

Nasiko joined the Agentic AI Summit 2026, hosted by Berkeley RDI, which brought together researchers, AI leaders, builders, entrepreneurs, and companies from across the agentic AI ecosystem, with a heavy focus on the research and infrastructure shaping the next generation of AI systems.

Nasiko had a dedicated booth where we presented our work to researchers and companies, with a primary focus on PACMS, cost optimization, and token efficiency for AI systems. The event was an opportunity to position Nasiko within the broader research conversation around making increasingly complex AI and agentic systems more efficient.

The numbers tell a strong story

• 5,000+ expected in-person attendees across the summit
• 200+ speakers across multiple stages
• 200+ poster presentations showcasing research and emerging work
• Researchers, founders, AI practitioners, and companies from across the agentic AI ecosystem in attendance

Key wins

Nasiko presented its work directly to a highly research-focused audience, creating visibility among the people working on the next generation of AI systems. Conversations centered on PACMS and the broader challenge of cost and token optimization as AI systems become increasingly complex. Researchers showed strong interest in the problem of making AI systems more efficient, particularly as token consumption and inference costs become critical at scale.

Notably, discussions around agentic AI kept moving beyond model capabilities and toward the infrastructure required to make these systems efficient, reliable, and economically viable. The event gave us the chance to connect our research direction with the broader academic and industry conversation around agentic AI infrastructure.

Community and brand impact

The booth created direct interaction with researchers, AI practitioners, and companies working across the agentic AI ecosystem. The research-heavy nature of the audience let us communicate the technical depth behind PACMS and token optimization, rather than positioning Nasiko purely as an infrastructure platform. Those conversations strengthened Nasiko's visibility within the research community and surfaced valuable feedback from people actively building AI systems and infrastructure.

Market validation

What stood out most was the growing recognition that scaling AI is not only a model capability problem. As agentic systems become more sophisticated, cost, token consumption, context efficiency, and infrastructure optimization are becoming equally important challenges. The conversations around PACMS and token optimization reinforced that there is a growing need for technologies that make AI systems more efficient without compromising their capabilities.

Berkeley RDI was an important opportunity to bring Nasiko's research into conversations with the people shaping the future of AI, strengthening our positioning around cost optimization, token efficiency, and AI infrastructure, with valuable feedback from a research-driven audience.