FOUNDATION
52 GS/s
V/I Pairs
From Analog Reality to Action — and Back on the Wire
Our platform is tightly coupled to analog physics. We don’t wait for data after it’s become
digital; we meet signals in their native form. At 52 giga-samples per second, we record
synchronized voltage–current (V/I) pairs so we can see the electrical “push” (V) and “flow”
(I) together. Each reading lands inside a short snapshot window (Δt) that captures the apparent
target pair plus co-occurring effects in the same instant. Those nearby effects
include subtle interactions, leakage, and quantum-adjacent phenomena that rarely survive digital-only views.
After capture, every snapshot is heavily analyzed. We extract amplitude, phase, frequency,
harmonic content, rise/fall timing, jitter, noise floor, power spectral density, and cross-correlations. These
features form a concise forensic fingerprint of that moment. Crucially, we don’t inspect snapshots in
isolation: we chain them like an animated slideshow (a “flipbook”) so evolving behaviors become
obvious to humans and machine models. When patterns accelerate, stall, or pulse in a particular rhythm, we can
see it—and score it—for what it is: DDoS/SYN floods, encryption regime changes, covert modulation, device
handoffs, or early signs of malware.
With this timeline context, the system decides whether to act or pass. Actions
include inline correction, suppression, or counter-responses that operate at electrical-layer speed. If traffic
is clean, it flows through unchanged. Either way, the result is reinserted on the wire
undetectably. Because we sample everything—including natural noise—we also
put everything back. That preservation of the environment’s “grit” is intentional: downstream
devices and observers see exactly what they would have seen in the first place, making our operation effectively
invisible while still delivering forensic truth and real-time control.
1
Capture the Analog Reality
We sample at 52 GS/s, pairing V and I so cause-and-effect are visible in the same
instant. This lets us see genuine electrical behavior—not just decoded bytes—preserving nuance that digital
stacks flatten or discard.
2
Snapshot Window (Δt)
Each slice spans a tiny, configurable interval. Alongside the target pair, it includes extraneous
and quantum-adjacent effects that often betray intent, misuse, or hidden modulation schemes.
3
Quantize & Extract Features
We compute compact fingerprints: amplitude/phase, harmonics, jitter, rise/fall, PSD, and cross-correlations.
These features let models compare “what is” vs. “what should be,” reliably and repeatedly.
4
Forensic Analysis
DSP and ML work together to flag DDoS/SYN floods, encryption transitions,
covert modulation, suspected malware, and device swaps—even when payloads are
inaccessible or intentionally obfuscated.
5
Flipbook Correlation
Sequencing slices reveals how signatures evolve. Small, isolated anomalies become unmistakable patterns when
viewed across time, enabling confident attribution.
6
Decide: Act or Ignore
If benign, traffic passes. If risky, we trigger inline corrections or countermeasures with sub-microsecond
latency—before problems escalate upstream.
7
Correct Without a Trace
We repair or neutralize patterns while preserving ambient noise. That fidelity keeps the physical
channel’s “fingerprint” intact and our presence invisible.
8
Reinsert on the Wire
The result goes back exactly where it came from—undetectable to downstream devices—so the
environment continues normally, now safer and better understood.