diff --git a/vendors/StateLabs.md b/vendors/StateLabs.md new file mode 100644 index 0000000..128d36b --- /dev/null +++ b/vendors/StateLabs.md @@ -0,0 +1,141 @@ +--- +title: "Vendor: State Labs" +status: draft +--- + +# State Labs – Privacy-Preserving Infrastructure + +State Labs develops regulated privacy-preserving infrastructure for institutional payments (Tx-Shield), private AI collaboration (OpenTMP LLM), and MPC-TSS key management (Collab-Key). +State Labs’ three core solutions — **Tx-Shield**, **OpenTMP LLM**, and **Collab-Key** — address compliance, compute, and custody privacy challenges faced by regulated institutions. + +--- + +## What it is +State Labs builds modular privacy layers/solutions for institutional finance and AI systems: +- **Tx Shield** — a regulated private payment layer/solution built on MPC-based encryption and threshold key control. +It enables confidential settlement for stablecoins, RWAs, and bonds while ensuring regulator-auditable transparency. +Transactions are visible only to stakeholders, while regulators can access details through granted audit keys. + +- **OpenTMP LLM** — is a distributed edge AI training and inference framework designed for privacy-preserving large-language model collaboration. It combines federated learning and multi-party computation (MPC-FL) to keep data local while enabling encrypted aggregation and joint model updates. It powers collaborative, effcient, secure, and governable AI training across distributed environments. + +- **Collab-Key** — is a high-performance MPC-TSS framework supporting both two-party and multi-party ECDSA signing. +It ensures that no single participant ever reconstructs a full private key, providing cryptographic resilience and institutional-grade security. +The system integrates seamlessly with existing KMS and client applications for fast, production-grade signing. + +Each module can operate independently or as part of a unified privacy-preserving stack across payments, compute, and custody. + +--- + +## Fits with patterns (names only) + +Tx-Shield: +- pattern-private-stablecoin-shielded-payments +- pattern-private-pvp-stablecoins-erc5753 +- pattern-regulatory-disclosure-keys-proofs +- pattern-te-ex-settlement + +OpenTMP LLM (adjacency): +- pattern-adj-private-consortium-ledger +- pattern-adj-delayed-post-trade-reporting + +Collab-Key: +- pattern-key-management-threshold-kms + +--- + +## Not a substitute for + +Tx-Shield: +- ZK-based L2 privacy frameworks (e.g., Aztec, Scroll) +- General-purpose MPC or TEE frameworks for secure computation (Tx-Shield focuses on transactional privacy and compliance) +- Traditional on-chain settlement systems without regulator access + + +OpenTMP LLM: +- Centralized AI model training pipelines +- Non-encrypted data-sharing frameworks + + +Collab-Key: +- Single-key custodial wallets +- Hardware-based key storage only + +--- + +## Architecture +### Tx-Shield +Implements a high performance MPC-based private payment layer with threshold key control and an audit-key protocol for regulator visibility. +Only sender, receiver i.e. stakers, and authorized regulators can access encrypted transaction details. +Optimized MPC execution enables high performance (~10k TPS). + +### OpenTMP LLM +Distributed AI architecture using federated learning and multi-party computation (MPC-FL) with threshold-secure aggregation. +Supports edge acceleration, model distillation, quantization, and joint model governance. + +### Collab-Key +MPC-TSS signing system supporting both 2PC and multi-party ECDSA protocols. +Ensures that private keys are never reconstructed in full. +Integrates seamlessly with institutional KMS systems and APIs. + +--- + +## Privacy domains (if applicable) +- Private Payments / Compliance Infrastructure +- Collaborative AI / Federated Learning Privacy +- Custody / Key Management + +--- + +## Enterprise demand and use cases +Tx-Shield: +- Institutional settlement for stablecoins, tokenized RWAs, and bonds on-chain. +- Ideal for financial institutions needing confidentiality and compliance together. + +OpenTMP LLM: +- Privacy-preserving AI model training and inferences for enterprises and regulated sectors, such as healthcare, finance, and government. + +Collab-Key: +Institutional wallets, custodians, and enterprise-grade signing infrastructure needing fault-tolerant and secure key management. + +--- + +## Technical details +Tx-Shield: +- MPC-based encryption, threshold key control (TSS), high-throughput multi-party computation. + +OpenTMP LLM: +- MPC-FL, Distributed Learning, Edge AI Acceleration, SFT, RLHF. + +Collab-Key: +- MPC-TSS (ECDSA 2PC / multi-party), Threshold Signatures, Secure Key Generation. + +--- + +## Strengths +- Tx-Shield delivers institutional-grade transactional privacy with built-in regulatory visibility. +- OpenTMP LLM enables privacy-preserving multi-party AI collaboration across edge and federated (hybrid on/off-chain) environments. +- Collab-Key provides fault-tolerant, MPC-TSS-based signing with formal security foundations (*USENIX Security 2025*). + +--- + +## Risks and open questions +Tx-Shield: +- Governance over regulator audit keys +- Integration complexity across different blockchain environments + +OpenTMP LLM: +- Coordination complexity in multi-party settings +- Trade-offs between model performance and full encryption overhead + +Collab-Key: +- Performance scaling with increased party count +- Implementation complexity across heterogeneous custody systems + +--- + +## Links +Website: [https://statelabs.ai](https://statelabs.ai) +Contact: [joezyx@statelabs.ai](mailto:joezyx@statelabs.ai) | [kyle@statelabs.ai](mailto:kyle@statelabs.ai) | [haiyangxue@smu.edu.sg](mailto:haiyangxue@smu.edu.sg) +Papers: +- [USENIX Security 2025 – Guo et al.](https://www.usenix.org/system/files/usenixsecurity25-guo-hao-improved.pdf) +- [USENIX Security 2025 – Liang et al.](https://www.usenix.org/system/files/usenixsecurity25-liang-achilles.pdf)