MPC-Based Federated Learning Orchestration

Managed node deployment with 99.9% uptime SLA, automated health checks, and rollback capabilities. Built with Kubernetes for horizontal scaling and includes monitoring dashboards for model convergence and participant contribution.

Design and implement tokenomics and governance smart contracts to align participant behavior. Create staking mechanisms, slashing conditions, and reward distribution tailored to your federation's goals and data quality metrics.

Train robust, high-performance AI models on distributed, siloed data without centralizing it. Reduce model development cycles from months to weeks by securely leveraging data across departments or partner organizations.

Build with privacy-first principles for GDPR, HIPAA, and CCPA. Our MPC protocol ensures raw training data never leaves its source, creating a verifiable audit trail for compliance officers and regulators.

Eliminate the single point of failure and data breach risk inherent in centralized data lakes. Our orchestration layer uses multi-party computation (MPC) to keep sensitive information encrypted and partitioned at all times.

Unlock new revenue streams by allowing partners to contribute to and benefit from shared AI models, while cryptographically guaranteeing their proprietary data remains confidential and never exposed.

Deploy a production-ready federated learning pipeline with guaranteed uptime, automated node management, and detailed performance analytics. We handle the cryptographic complexity so your team can focus on model logic.

We define your data collaboration model and threat surface. Deliverables include a technical specification, privacy threat model, and a detailed architecture diagram for your MPC-FL network.

Development of the core MPC-FL orchestration layer. We implement multi-party computation protocols (e.g., SPDZ, Shamir's Secret Sharing) and federated learning algorithms with privacy-by-design.

We integrate the MPC-FL layer with your existing data pipelines and ML models. Rigorous testing includes unit tests, integration tests, and adversarial simulation to validate security assumptions.

Production deployment of the federated network with monitoring and governance. We provide a managed orchestration dashboard, SLA-backed uptime, and on-call support for the initial 30 days.