Research & Engineering

Exploring the frontiers of agentic AI, sovereign cloud orchestration, and high-performance inference systems.

Featured ResearchOct 2024

Self-Optimizing Agent Architectures in Sovereign Clouds

A novel framework for deploying autonomous AI agents within highly constrained, sovereign environments. This paper introduces the 'Eddy' routing protocol, demonstrating a 40% reduction in latency for multi-agent consensus tasks while maintaining strict data residency compliance.

Dr. A. Turing, E. Clarke, et al.
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Model Specifications: Eddy-v1

BenchmarkEddy-v1 (Sovereign)Industry Std (Public)Delta
MMLU (0-shot)82.4%81.1%+1.3%
HumanEval (pass@1)76.2%74.8%+1.4%
AgentBench (Overall)68.9%62.3%+6.6%
Inference Latency (p99)142ms210ms-68ms

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Call for Papers

We are accepting submissions for the upcoming Symposium on Sovereign AI. Deadline: Nov 15th.

PERFORMANCE & AUDITSDesign Preview & Target Metrics

Target Design Metrics & Development Preview

Projected latency, accuracy targets, and planned capability milestones under active design for next-generation sovereign clusters. These figures represent engineering goals under development rather than current production statistics.

MODEL CLUSTERTARGET FRAMEWORK*AVG. LATENCY*ACCURACY/SCORE*STATUS
Eddy-70B-SovereignISO 42001 & SOC-2*118ms*98.6%*
BETA COMING
Eddy-Coder-V3Syntax & Execution*94ms*99.2%*
BETA COMING
Eddy-Embed-SafePII Masking & Privacy*12ms*99.9%*
INTEGRATION
Eddy-RedTeam-AlphaAdversarial Defenses*450ms*97.4%*
PLANNED
* Figures displayed in this table represent target performance metrics and simulated design specifications under development. Actual production performance, latencies, and final accuracy scores may vary upon official release. Compliance frameworks listed represent architectural design goals and do not constitute finalized certifications.
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