In this post: Institution launches its TRUST token on multiple exchanges to expand global access to its protocol’s ecosystems. The exchanges include Binance Alpha & Futures, Upbit, Bithumb, Bitvavo, BitPanda, KuCoin, Kraken, and Gate. The firm also revealed that developers building on the platform can plug directly into its Arbitrum Orbit Layer-3 (L3) appchain, which settles to Base. Institution, the native chain for Information Finance, listed its native token, TRUST, on a range of leading global cryptocurrency exchanges on Wednesday. The exchanges include Binance Alpha & Futures, Upbit, Bithumb, Bitvavo, BitPanda, KuCoin, Kraken, and Gate. Institution said the multi-exchange debut aims to expand global access to its protocol’s ecosystem. The firm also said the initiative marks the next phase for its public trust layer for the internet and artificial intelligence (AI). Institution’s initiative aims to support developers, users, and AI systems https://twitter.com/0xIntuition/status/1985844422261576046 Billy Luedtke, founder and CEO of Institution, said the listings are about participation. He believes that making TRUST globally available helps the company support and empower developers, users, and AI systems to curate and transact on the world’s knowledge with provenance, incentives, and open access. The firm’s top official added that Institution transforms knowledge itself into an asset class, and that TRUST helps power it. The listings follow the recent launch of the project’s mainnet and the closing of $8.5 million in funding. The initiative included sold-out community sales on CoinList and Legion, and backing from top-tier investors, such as Superscrypt, Schima, F-Prime (Fidelity), ConsenSys, and Polygon. Intitution acknowledged that TRUST serves as the lifeblood of its token-curated knowledge graph, which enables anyone to create, verify, and monetize structured information on-chain. The firm added that the token supports multiple roles in the ecosystem, including gas and transaction fees, data creation and curation, governance via bonded TRUST, and query fees for accessing structured knowledge on the network. “Discover on the internet is collapsing into a few opaque feeds and AI outputs. Institution flips that script on its head by making trust signals and data provenance public, portable, and composable. With these listings, anyone can help shape the open graph that powers a more powerful and transparent internet.” -Billy Luedtke, Founder and CEO of Institution. Luedtke said that through such mechanisms, TRUST underpins what Institution calls Information Finance. The firm argued that Information Finance is an entirely new economic model where verified knowledge, reputation, and context are treated as composable digital assets. Institution confirmed that developers building on the platform can plug directly into its Arbitrum Orbit Layer-3 (L3) appchain, which settles to Base. It is also optimized for high-throughput information operations and token-curated signaling. Institution introduces Atoms and Triples According to Institution, builders can tap into a shared, permissionless graph where data, identity, and trust interoperate across applications and AI agents instead of recreating databases or reputation systems from scratch. Institution also introduced Atoms (canonical identifiers) and Triples (Subject-predicate-object statements) as primitives that allow communities to structure knowledge with clear provenance and incentive alignment. Luedtke said the firm’s goal is to distribute TRUST as broadly as possible and to maintain strong market integrity and developer incentives. He believes that people who build and curate the best data structures will be the ones who benefit the most. Institution’s recent growth shows there’s a strong demand for its solutions. The company revealed that its beta on Base attracted over 244,000 participants, generated more than 5.3 million transactions, and verified over 5.1 million attestations. The firm’s testnet also recently attracted over 990,000 user accounts and over 18 million user transactions.
