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Add vendors: State Labs – Tx Shield (Private Payment), OpenTMP LLM (Collaborative Private AI), and Collab-Key (MPC-TSS Key Management) #7
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Adds State Labs’ OpenTMP LLM to the vendor map under the Collaborative AI / Federated Learning privacy domain. - Tech: MPC-FL with threshold-secure aggregation - Scope: privacy-preserving training & inference with data locality - Modules: Private / Efficient / Governable LLM
Adds State Labs’ Collab-Key to the vendor map under the Custody / Key Management domain. - Tech: MPC-TSS for distributed ECDSA signing (2PC & multi-party) - Problem: eliminates single-point key compromise - Integrates with KMS; production-grade throughput
This PR adds State Labs to the vendor map under the Private Payments domain. - Product: Tx Shield — regulator-auditable private payment layer - Tech: MPC-based encryption + threshold key control (TSS) - Use cases: confidential settlement for stablecoins, RWAs, bonds - Performance: ~10k TPS via optimized MPC execution
Hi @JoeZYXStateLabs |
Thank you for your prompt reply! |
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Thank you for your contribution! Left some comments, but overall looks good as a first entry to me
# State Labs – Privacy-Preserving Infrastructure | ||
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State Labs develops regulared privacy-preserving infrastructure for institutional payments (Tx-Shields), Private AI collaboration (OpenTMP LLM), and MPC-TSS Key Management (Collab-Key). | ||
Our three core solutions — **Tx-Shield**, **OpenTMP LLM**, and **Collab-Key** — address compliance, compute, and custody privacy challenges for regulated institutions. |
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Could we rewrite this in third person? E.g. State Labs having three core offerings etc
(Our is ambigous for most consumers)
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## Fits with patterns (names only) | ||
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Tx-Shield: |
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If you see some patterns in patterns folder that seems relevant, feel free to link to them from here :)
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. |
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in this part, can you pls clarify how an investor is KYCed? and how asset issuance is done?
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. | ||
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- **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. |
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how do we map this to institutional privacy? is this a new feature for institutions?
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and how does this interact with Ethereum L1?
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- **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. |
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is this MPC-TSS for Bank, Investor, or for Regulator and how to incorporate it?
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. | ||
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Each module can operate independently or as part of a unified privacy-preserving stack across payments, compute, and custody. |
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can you pls add an example of how do you stack them together?
- Custody / Key Management | ||
- Threshold Signatures | ||
- Distributed Signing Infrastructure | ||
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This section is a bit too general and does not add much information what has been in the introduction, can you pls elaborate?
## Not a substitute for | ||
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Tx-Shield: | ||
- Non-compliant on-chain transfer systems |
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Not sure what you mean here, but non-compliant on-chain system is not among the institutional usecases
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## Architecture | ||
### Tx-Shield | ||
Implements a high performance MPC-based private payment layer with threshold key control and an audit-key protocol for regulator visibility. |
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is this technically a network? or a centrally controlled 2-3 nodes cluster?
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### 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. |
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what is the concrete efficiency can we expect here?
Supports edge acceleration, model distillation, quantization, and joint model governance. | ||
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### Collab-Key | ||
MPC-TSS signing system supporting both 2PC and multi-party ECDSA protocols. |
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what is the current scheme and library you are using here?
- 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) | ||
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this is quite repetitive to above sections as well
## Risks and open questions | ||
Tx-Shield: | ||
- Governance over regulator audit keys | ||
- Integration complexity across different blockchain environments |
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can you pls be more specific with this intergration complexity?
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## Links | ||
Website: [https://statelabs.ai](https://statelabs.ai) |
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Is your solution open-sourced? The GH https://github.com/StateLabs does not have a public repo?
This PR adds three vendor entries from State Labs to the Ethereum Foundation's Institutional Privacy Mapping.
1. Tx-Shield (Private Payments)
Transactions are visible only to stakeholders, while regulators can access details through granted audit keys.
Ensures institutional privacy and compliance with high-performance (~10k TPS) MPC execution.
2. OpenTMP LLM (Collaborative Private AI)
Combines federated learning and MPC-FL to keep data local while performing encrypted aggregation and joint model updates.
3. Collab-Key (MPC-TSS Key Management)
Eliminates single-party key reconstruction and integrates with KMS for fast, production-grade signing.
Built upon our team’s peer-reviewed research presented at USENIX Security 2025, combining academic rigor with real-world performance.
Each entry represents a key component of State Labs’ privacy-preserving infrastructure—covering payments (Private Payments), AI collaboration (Private Collaborative AI), and key management (Collab-Key) — aligned with IPTF’s institutional privacy domains.