8. Team & Vision

8.1 Core Team

Amar Bedi, CEO: 15 years scaling startups, launched two Web3 initiatives. Built and managed over $100M in revenue streams. Previously at Uber & Grab in Singapore.

Jay McCarthy, CBO: Co-Founder of SparkLabs, venture capital investor with 300+ startup investments. Co-founded Equilibrium, which exited for $35M to NYSE-listed FiscalNote. Previously at Morgan Stanley.

Ken Anderson, CTO: 20 years building distributed systems. Creator of SQLx (used by 30,000+ developers). Founding Chief Developer Advocate for Hedera Hashgraph.

8.2 Advisors & Ecosystem

Tashi's advisor network includes leaders across blockchain infrastructure, Web3, and investing:

• Aly Madhavji, Blockchain Founders Fund

• Rich Teo, Paxos

• Gabriel Schillinger, Animoca Brands

• Amrit Kumar, AltResearch

• Wei Zhou, Binance

• Gabby Dizon, Yield Guild Games

Tashi is a founding member of the Intercognitive Foundation, an ecosystem initiative focused on making the physical world accessible to AI. The Foundation coordinates standards across nine infrastructure pillars (Identity, Fees, Maps, Sensors, Positioning, Compute, Connectivity, Orchestration, and Standards), with Tashi providing the orchestration layer. Other founding members include Auki, Peaq, GEODNET, and Mawari.

8.3 Vision

"To build a world where machines operate in alignment with those they represent."

The world's digital infrastructure has matured across compute, storage, and connectivity. What remains unsolved is coordination: the ability for independent systems to reach real-time agreement without centralized authority.

Tashi's vision is to provide coordination infrastructure as fundamental and ubiquitous as cloud compute or distributed storage. Just as AWS commoditized compute and IPFS distributed storage, Tashi makes coordination a programmable primitive that any application can invoke.

When billions of autonomous systems operate in the world, they will need to coordinate across trust boundaries. Robots from different manufacturers will collaborate in shared warehouses. AI agents from different operators will negotiate resource allocation. IoT devices from different vendors will synchronize state across municipal boundaries. None of these scenarios work with centralized coordination because no single operator can be trusted by all participants.

Tashi becomes the invisible layer that enables this coordination. Developers don't think about consensus algorithms or Byzantine fault tolerance any more than they think about TCP/IP when building web applications. They request coordination infrastructure, specify their requirements, and Lattice provisions the necessary resources. Vertex handles the actual consensus. Arc settles the outcomes when blockchain finality is needed.

This infrastructure enables a specific future: one where machines operate in alignment with those they represent. Autonomous systems coordinate not because a central authority commands them, but because they reach cryptographically verifiable agreement with peers. Economic incentives reward honest behavior. The technology creates accountability without centralized control.

The addressable market is every scenario where independent systems need real-time agreement: robotics, AI agents, industrial IoT, smart cities, autonomous vehicles, distributed computation, collaborative manufacturing, energy grids, supply chain coordination. Each vertical faces the same fundamental constraint. Tashi provides the same fundamental solution.

The long-term vision is coordination as a category-defining infrastructure layer. When historians look back at how autonomous systems became practical, they will identify three enablers: distributed compute for processing, distributed storage for data, and distributed coordination for agreement. Tashi is building the third pillar.