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.
🌫 MistSeeker AI — The Semantic Verification Search Engine
In Research
MistSeeker AI is a next-generation semantic search engine designed to verify meaning across different types of data. Instead of matching keywords, it understands whether text, images, and numerical information truly agree.
Where traditional search engines only show what appears to be correct, MistSeeker reveals what is actually true — detecting hidden inconsistencies and restoring the integrity of information.
"To see beyond what is visible, and to understand what is real."
Core Capabilities:
- • Multimodal semantic alignment
- • Meaning comparison across language, vision, and data
- • Search for truth, not just data
- • Accuracy over engagement metrics