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About MindLayer

Our tech stack seamlessly integrates cutting-edge AI capabilities with robust decentralized infrastructure — combining the power of OpenAI and HuggingFace for advanced language and model processing, with Arweave and IPFS ensuring long-term, censorship-resistant data storage. This allows us to build intelligent, secure, and truly decentralized applications at scale.
We're backed by a world-class team with deep expertise across Google, Meta, and top-tier Web3 projects such as Polygon, Chainlink, and Arbitrum. Our engineers and researchers have previously led initiatives in AI research, distributed systems, and blockchain protocol design, bringing together decades of combined experience at the intersection of AI and Web3.
This unique combination of talent and technology enables us to push the boundaries of what's possible in decentralized intelligence — from scalable AI agents on-chain, to next-gen social platforms and autonomous networks.

Products

Data Silos

Establishes a unified semantic layer for structured and unstructured data.

Model Black Boxes

Enables transparent, trackable model invocation with auditability.

Intelligence Fragmentation

Standardizes behavior across agents through modular protocol design.

Built for the New Era

Unlike traditional AI infrastructure, MindLayer is designed from the ground up to support modular, multi-agent, and composable intelligence — ready for LLMs, Web3 agents, and autonomous systems.

Composability by Design

Just like smart contracts enabled DeFi, MindLayer introduces composable cognitive modules — enabling reuse, chaining, and real-time orchestration of AI components.

Web3 Native Future-Proof

We embrace decentralization: On-chain model proofs, Agent-level collaboration protocols, Interoperability with existing L1/L2 networks. MindLayer is the Layer 0 for intelligence in a decentralized world.

40%

Writing Assistant boosting efficiency

35%

Smart Support cutting response latency

31%

Teaching Copilot Improving match accuracy

14%

Governance Node Increasing member participation

Our development plan

1，Semantic Unification

Establish a unified semantic layer for structured and unstructured data, breaking down data silos.

2，Protocol Design

Define a standardized "Thinking Protocol" to enable composable interactions between models and tasks.

3，Linkage Engine

Build a modular pipeline covering data collection → preprocessing → model inference → feedback return.

4，Multi-Model Orchestration

Dynamically compose and select from LLMs, CV models, and recommendation engines as needed.

5，Agent Networking

Enable agent-to-agent communication, context sharing, and multi-task collaboration.

6，On-Chain Verification

Record inference paths and interaction logs via Web3 mechanisms to enhance auditability and consensus.

"Mind Layer's architecture is quite pragmatic, avoiding unnecessary parameter bloat in favor of a modular design that balances computational cost and performance. It delivers stable results for cross-modal tasks, and its training efficiency is noticeably better than traditional approaches—making it suitable for scenarios requiring rapid iteration."

Sid Gore

"The data preprocessing component is solid, especially its tolerance for messy data, which exceeded expectations. The automated feature extraction works well—while complex scenarios still need manual adjustments, it still cuts down repetitive work by 30-40%."

Loren Anduvare

"Mind Layer's interface is intuitive, which lowers the learning curve for teams. Its pre-built templates cover common use cases—for example, we tested the text classification module and got it running with just a few parameter tweaks, saving a lot of initial setup work."

Md Jabed

Book an experience

Since our products are not yet available, you can contact us first to apply for a trial.

Contact Us

https://x.com/Mind1Layer

genceshity@gmail.com