R&D Projects
What appears as abstract theory, we recast as tangible proof. Where others see uncertainty, we deliver certainty—through the union of math, physics, and engineering.
Topology-Inspired Distributed AI Optimizer
CompletedPoC
Reduces tail latency and stabilizes throughput by modeling multi-GPU systems as curvature-aware graphs. Preserves context while rebalancing workloads—no hardware changes.
Topology-inspired distributed AI optimization — Preserves context and reduces latency without hardware changes.
Cocoon Network
In Research
A resilient network design turning noisy links into predictable performance via encapsulation, path shaping, and adaptive envelopes—built for low-jitter traffic.
Cocoon Network — Transforms unstable links into predictable performance via encapsulation and path shaping.
Coming Soon
Parallelism & Fixed-Context Mathematical Model
In Research
Resolves the tension between parallel scaling and context continuity, enabling synchronized inference/training without breaking semantic state.
Mathematical model resolving parallelism and fixed-context issues — Synchronized scaling without breaking semantic state.
Coming Soon
Bug-Bounty Toolkit (White-Hat)
CompletedPrivate
An operator-friendly toolkit that streamlines recon, PoC validation, and report packaging—focused on measurable CIA impact with reproducible evidence and clean artifacts.
White-hat bug bounty toolkit — Streamlines recon, PoC, and reporting with reproducible evidence-focused design.