Acoustic Crowd Intelligence · i2P LLC
AEGIS
Real-time acoustic prediction engine. Detects crowd eruptions 3+ seconds before they peak — in any stadium, any sport, any language.
App. 64/006,872 · Filed March 2026
NSF SBIR Phase I Applied
Azure API · Live
WKU Innovation Campus
Technology
How AEGIS works.
No cameras. No player tracking. No broadcast feed required. AEGIS reads the crowd's acoustic energy as a living signal — and fires before the event peaks.
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Step 01 — CaptureListen30-second audio windows from the live venue feed. Any stadium. Any sport. Any language.
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Step 02 — ExtractAnalyze6-point acoustic feature vector: amplitude envelope, rise/fall time, spectral centroid, RMS energy, duration, zero-crossing rate.
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Step 03 — ClassifyDetectAdaptive spike detection + Random Forest classifier. QAOA validation on borderline events. Distinguishes eruptions, swells, groans, and whistles.
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Step 04 — AlertFireAnticipatory alert fires 3+ seconds before event peak. REST API response. Haptic trigger. Broadcast overlay. <100ms latency.
Live Validation
The data speaks.
Validated against real match broadcast audio across World Cup, Champions League, Premier League, and La Liga. 5,700+ labeled crowd acoustic events and counting.
| Match | Competition | Duration | Validated Events | Accuracy |
|---|---|---|---|---|
| Croatia vs Brazil | FIFA World Cup QF | 55 min | 951 | 90.3% |
| Barcelona vs Atlético | La Liga | 54 min | 41 | 100% |
| Real Madrid vs Bayern | UCL Semi-Final | 100 min | 194 | 97.9% |
| PSG vs Inter Milan | UCL Final | 55 min | 126 | 100% |
| Argentina vs Croatia | FIFA World Cup SF | 56 min | 88 | 100% |
Products — Live & In Development
Three lanes.
One acoustic intelligence engine powering broadcast, fan experience, and accessibility. API-first. No new stadium hardware required.
● Live
AEGIS Azure API
REST API processing crowd audio and returning validated spike data in real time. Deployed on Azure Container Apps. <100ms latency. Per-event or annual enterprise license.
aegis-api.wittyground-7054d6c9.eastus.azurecontainerapps.io
● Ready
Broadcast Intelligence SDK
White-label SDK for leagues, OTT platforms, and second-screen apps. Embeds AEGIS directly into existing broadcast pipelines. No hardware. Tier 1–3 enterprise licensing.
Enterprise licensing — contact for pricing
In Prep
Battito™ Haptic Wristband
Consumer haptic device receiving AEGIS alerts in real time. Italian: "heartbeat." Dual audience: neurodivergent fans (sensory safety) + Kings League & esports fans (hype immersion). Patent application in preparation. Via i2P Haptic Designs.
i2P Haptic Designs · Target launch Phase II
IP & Defensibility
Protected on four fronts.
Patent, dataset, federal grant pipeline, and pipeline lock-in. Each layer reinforces the others.
Patent Filed
AEGIS Core Method
Provisional App. 64/006,872 filed March 16, 2026. Non-provisional deadline March 16, 2027. Claims cover: anticipatory 3-second lead, 6-point feature vector, adaptive percentile baseline, multi-sport dependent claims.
Data Moat
Training Dataset
5,700+ labeled acoustic crowd events from World Cup, UCL, Premier League, and La Liga. Proprietary. Competitors starting from scratch would need 12–18 months to replicate comparable signal coverage.
Non-Dilutive
NSF SBIR Phase I
$275K Phase I applied. NSF SBIR provides non-dilutive capital validation and positions AEGIS as a research-grade innovation — critical for government, stadium, and university partnerships.
App. 64/006,872
Provisional patent filed March 16, 2026 · Non-provisional deadline March 16, 2027
Pro bono patent counsel program (pending assignment) · i2P LLC · Bowling Green, Kentucky
Pro bono patent counsel program (pending assignment) · i2P LLC · Bowling Green, Kentucky
Contact
Let's talk.
Founder & CEO
KaTerrell Kennedy
Founder & CEO · Principal Investigator
General & Investment Inquiries
Location
WKU Innovation Campus · Bowling Green, KY
Company
i2P LLC · International Institute for Integrated Performance