Tashi Network price

TASHI

Tashi offers a decentralized infrastructure stack designed to replace traditional cloud servers with ultra-fast, peer-to-peer mesh coordination.

Product details: Our DePIN and 3 industry-focused products are in production: DePIN Services (all industries): Essential services that make MeshNets practical for real-world deployment a) Telemetry service, b) Relay service, and c) Peer hand-shaking. RoboMesh (Robotics Orchestration): This synchronizes, routes, and validates activity among robot swarms. PlayerMesh (Serverless Multiplayer Gaming): Game engine wrappers (Unity C#, Godot C#) that simplify multiplayer game development without servers. FoxMQ (Decentralised Message Queue): MQTT client built on the MeshNet SDK, creating multi-master replicated message brokers for IoT and M2M communication.

Competitive benefits: DePIN: Edge-based, light-weight nodes that can be run by anyone Tashi Consensus (“MeshNet”): Orders of magnitude faster than any other consensus solution. PlayerMesh: Reduces centralised multiplayer gaming server dependencies and network costs by 50%. FoxMQ: Removes single point of failure in centralised solutions.

The above products are underpinned by our proprietary Tashi Consensus, which has application-specific tunability - can be adapted to prioritize near-instant finality (20k TPS @ 28-50ms latency) or ultra-high throughput (1M TPS @ 890ms latency) with infinite scalability via sharding. Web3 devs can build dApps that require synchronisation using Tashi Consensus since it is orders of magnitude better than CometBFT.

Key Highlights: - ARR positive: Generating revenue with $100K ARR. - Partnerships: 50+ game partners. Part of NVIDIA Inception program, Founding Member of Intercognitive, partnerships with Aethir, Auki, 0G, AltLayer, YGG, Microsoft, and many others. - Token: DePIN tokenomics employs failure-tolerant reputation mechanisms, multi-factor node selection, and geographic optimization.

Team: - Core team: Amar (CEO) has 15 years scaling startups with leadership roles at Uber and Grab, managing $100M revenue lines and set up 2 Web3 ventures previously. Jay (CBO) has 30 years financial expertise and entrepreneurial experience including Morgan Stanley, Co-founder of Sparklabs (VC Fund) and Co-founder of Equilibrium (sold for $34M). Ken (CTO) has 20 years building distributed systems, previously founding member at Hedera Hashgraph.
- Extended team: Rust and Web3 experts having built core tech for Hedera, Near, and other leading Web3 protocols. Contributed open source projects with over 15k stars (https://github.com/launchbadge/sqlx) on Github.

Our team’s commitment comes from shared ownership and belief in our vision. Our co-founders have known each other for a number of years and came together on this project because all of their skillsets combined seamlessly. Every member has skin in the game: we’re equity/token holders, and everyone knows the success of this project reflects the value we create together.

Tashi has invested over $3M into the project and is backed by Blockchain Founders Fund (Lead), Taisu Ventures, Gabby Dizon (YGG), Wei Zhou (ex CFO Binance), Hedera Hashgraph, Blocktrust, and other well-known industry stalwarts.

The Tashi Network is underpinned by a robust economic framework built on Solana as an SPL token with a total supply of 10 billion TASHI, strategically distributed across investors, community participants, and operational actors to align stakeholder interests, reward sustained participation, and uphold decentralized governance, ensuring long-term growth and network resilience. By implementing a sophisticated DePIN tokenomics model that integrates traditional SaaS economics (USD payments) with crypto incentives, Tashi employs failure-tolerant reputation mechanisms, multi-factor node selection, and geographic optimization to foster a fair, sustainable, and high-performance edge compute network. Its key innovation lies in the separation of market consequences (reputation) from financial consequences (slashing), enabling an infrastructure-tolerant yet quality-focused network governance model.