Add vendors: State Labs – Tx Shield (Private Payment), OpenTMP LLM (Collaborative Private AI), and Collab-Key (MPC-TSS Key Management)

vendors/StateLabs.md

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+---
+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:
+- Non-compliant on-chain transfer systems  
+- Centralized custodial payment rails  
+
+
+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:
+- Combines institutional privacy and regulatory compliance  
+- High performance (~10k TPS)  
+- Fine-grained regulator audit access through cryptographic keys  
+
+OpenTMP LLM: 
+- Keeps data local during training and inference  
+- Enables joint model ownership and governance  
+- High efficiency through edge AI optimization  
+
+Collab-Key:
+- Eliminates single-party key reconstruction  
+- Integrates seamlessly with KMS and signing APIs  
+- Backed by peer-reviewed research from *USENIX Security 2025*  
+1. *Improved Secure Two-party Computation from a Geometric Perspective* (USENIX Security 2025)
+2. *Achilles: A Formal Framework of Leaking Secrets from Signature Schemes via Rowhammer* (USENIX Security 2025, Honorable Mentions)
+
+---
+
+## 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: [[email protected]](mailto:[email protected]) | [[email protected]](mailto:[email protected])  | [[email protected]](mailto:[email protected])
+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)