About Us

Bitroot is building the trusted execution layer for AI-native blockchain applications. Our chain is powered by three engines working together: a parallelized intelligent execution engine for internet-grade transaction speed, an AI-native EVM module that lets smart contracts call AI models directly, and zero-knowledge proof verifiable auditing that makes AI decisions transparent and accountable.

We believe the next generation of on-chain applications will be built and operated by AI agents, and that this future needs infrastructure designed for it from the ground up rather than bolted on after the fact. Bitroot exists to give builders that infrastructure: fast, low-cost, and verifiable by default.

Alongside the protocol, the Bitroot Foundation supports builders, creators, and founders across the ecosystem by connecting them with funding and resources, so that great ideas in the BRT ecosystem have the support they need to grow.

The parallelized intelligent execution engine is the first of the three layers. Instead of processing transactions one at a time like a conventional EVM chain, it analyzes dependencies between transactions and executes non-conflicting ones concurrently. Combined with a dynamic transaction grouping algorithm, this lets Bitroot sustain 100,000+ TPS in testing, bring finality down to 0.3 seconds, and keep average gas fees around $0.00007 — internet-grade responsiveness for AI agents and real-time applications that need to transact frequently.

The second layer is the AI-native EVM module. While remaining 100% EVM compatible, Bitroot ships built-in AI Agent call interfaces so smart contracts can invoke AI models directly, without a separate middleware layer or a private bridge. Developers keep using the mature Ethereum toolchain — wallets, SDKs, audit tooling — while gaining a capability plain Ethereum doesn't offer: contract-level model inference combined with on-chain verification.

The third layer is zero-knowledge verifiable auditing. AI decision-making is usually a black box in traditional architectures. Bitroot uses zero-knowledge proofs and hash commitments to record key computation steps on-chain in a verifiable way, so an AI agent's behavior can be traced and audited without exposing the underlying data or model weights. We consider this layer the actual infrastructure trustworthy on-chain AI requires — not a bolt-on AI endpoint added to an existing chain.

Alongside the protocol, the Bitroot Foundation supports builders, creators, and founders across the ecosystem. Rather than a single review committee, the Foundation is made up of several teams within the ecosystem, each running its own grant program focused on a specific vertical — infrastructure, developer tooling, AI agent applications, or content and education — so applicants can find the funding track that best matches their project and get capital, technical support, and visibility faster.

Bitroot's community activity spans the globe: from Blockchain Life 2024 in Dubai to a summit in Thailand, to a China tour running from September through October 2025, the team keeps showing up where developers and users actually are, for technical talks, ecosystem introductions, and in-person conversations. We believe trust in infrastructure projects is built largely by teams willing to show up and answer questions directly, not just by social media announcements.

Zooming out, the problem Bitroot is trying to solve is foundational for the next generation of on-chain economies: as more transactions originate from AI agents rather than humans, a blockchain needs more than higher TPS — it needs native AI invocation and a default-verifiable execution model. We treated these as starting points for protocol design, not features bolted on later.

On governance: protocol development and the Bitroot Foundation's grant-making function operate separately. The former focuses on the protocol's performance, security, and compatibility; the latter focuses on allocating ecosystem resources. This separation lets the protocol team keep its technical judgment independent, while grant decisions stay closer to the actual needs of each vertical.

Roadmap and priorities: in the near term, the team's focus is on hardening the three engines under real network conditions — expanding validator participation, extending AI Agent call interfaces to cover more model types, and widening the set of computations the zero-knowledge auditing layer can verify efficiently. Longer term, we want the AI-native EVM to be the default place developers reach for when they need a smart contract to call a model, rather than a novelty feature bolted onto an existing chain.

Values: we try to hold ourselves to the same standard we ask of the network — verify rather than assert. Where we quote performance numbers, we say what environment they came from. Where a feature is still in progress, we say so rather than implying it already ships. We'd rather a builder discover Bitroot does less than expected today than discover we overstated it. That same instinct is why this page, and the rest of the site, favors specifics over slogans wherever we can back them up.

To follow our progress or get in touch, visit the community channels linked in the footer below, or reach the team directly via the Media Contact page.