Nasiko
Nasiko
Nasiko
Shaping Agentic Systems of Tomorrow
Shaping Agentic Systems of Tomorrow
Nasiko is a research lab exploring the foundations of agentic intelligence -
how AI agents discover, collaborate, and execute across complex environments.
Nasiko is a research lab exploring the foundations of agentic intelligence -
how AI agents discover, collaborate, and execute across complex environments.
Our work sits at the intersection of distributed systems, AI infrastructure, and trust engineering - building the invisible scaffolding that makes intelligent software truly autonomous, accountable, and interoperable.
Our work sits at the intersection of distributed systems, AI infrastructure, and trust engineering - building the invisible scaffolding that makes intelligent software truly autonomous, accountable, and interoperable.
Vision
Vision
Vision
Guiding enterprises through
chaotic agent ecosystems
Guiding enterprises through chaotic agent ecosystems
Modern AI has evolved beyond LLMs - it’s becoming an ecosystem of agents that reason, communicate, and execute.
Yet the foundation of this ecosystem remains chaotic.
As AI agents multiply across teams, clouds, and frameworks, enterprises are hitting a new bottleneck - no discovery, no visibility, no control.
Modern AI has evolved beyond LLMs - it’s becoming an ecosystem of agents that reason, communicate, and execute.
Yet the foundation of this ecosystem remains chaotic.
As AI agents multiply across teams, clouds, and frameworks, enterprises are hitting a new bottleneck - no discovery, no visibility, no control.
We believe the next leap in AI won’t come from larger models, but from better coordination - how agents understand each other, align on intent, and operate within the boundaries of safety and governance.
At Nasiko, we’re designing this missing layer - one where intelligence can move freely, securely, and transparently across systems.
We believe the next leap in AI won’t come from larger models, but from better coordination - how agents understand each other, align on intent, and operate within the boundaries of safety and governance.
At Nasiko, we’re designing this missing layer - one where intelligence can move freely, securely, and transparently across systems.
We are building the foundation of an agentic web, economy and society, inspired by Project NANDA created by Prof. Ramesh Raskar at MIT Media Lab.
We are building the foundation of an agentic web, economy and society, inspired by Project NANDA, created by
Prof. Ramesh Raskar
at MIT Media Lab.
Approach
Approach
Approach
Robust research, Focused engineering
Robust research,
Focused engineering
Robust research, Focused engineering
We combine systems research, applied AI, and secure infrastructure design to reimagine how intelligent systems connect and collaborate.
Our work spans distributed orchestration, adaptive computation, and agent governance - areas that we believe will define the next generation of AI architecture.
We combine systems research, applied AI, and secure infrastructure design to reimagine how intelligent systems connect and collaborate.
Our work spans distributed orchestration, adaptive computation, and agent governance - areas that we believe will define the next generation of AI architecture.
Trust by Design: Safety and accountability must be built into the system’s core.
Transparency & Scale: Understanding how intelligence operates is as important as scaling it.
Collaboration as Computation: The true power of AI emerges when agents work together.
Trust by Design: Safety and accountability must be built into the system’s core.
Transparency & Scale: Understanding how intelligence operates is as important as scaling it.
Collaboration as Computation: The true power of AI emerges when agents work together.
Nasiko Field — pointer follows mouse (pointer = white dot)
Mode: linear (SPACE toggles) | pointer: attractor (T toggles)
Particles: 0 | Target: 3000
C: clear | R: reset | S: spawn burst
Nasiko Field — pointer follows mouse (pointer = white dot)
Mode: linear (SPACE toggles) | pointer: attractor (T toggles)
Particles: 0 | Target: 1500
C: clear | R: reset | S: spawn burst