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Emotional Intelligence
Meets Precision Coaching

Launching prototype at elite academies. Pre-seed funding opens the door.

We're raising $50K to deploy our MVP. Join the founding cohort shaping emotionally intelligent coaching.

Executive Summary

MatchPoint Systems delivers emotionally intelligent, real-time coaching by fusing multi-sensor telemetry with AI safety, audit, and persona-aware delivery. The platform is domain-portable (sports ? medical ? industrial) and enterprise-ready (SLA metrics, observability, gateway, compliance posture).

Patent milestone: convert provisional by June 2026 (PCT optional).

Provisional Patent (Filed June 2025)

A System and Method for Real-Time, AI-Driven Coaching and Guidance

Inventor: Matthew Egeto - Provisional filing, June 2025. This disclosure outlines a low-latency, multi-sensor, AI-orchestrated pipeline delivering context-aware, multimodal feedback across sports, medical, industrial, and cognitive domains. Core inventions include heterogeneous multi-agent orchestration (GeMeGrok), dynamic resource allocation for multi-sensor fusion, persistent AI state (Bridge File / "AI Soul"), and a simulation-driven validation framework.

Read full provisional disclosure
PROVISIONAL PATENT APPLICATION INVENTION DISCLOSURE: MatchPoint Systems
Title: A System and Method for Real-Time, AI-Driven Coaching and Guidance
Inventor: Matthew Egeto
Date of Disclosure: 2025

1. Field of the Invention
This invention pertains to the fields of sports technology, artificial intelligence, real-time data processing, and human performance optimization... [truncated for display]

2. Abstract of the Invention
A system for providing real-time coaching and feedback is disclosed... end-to-end latency of less than milliseconds.

3. Detailed Description (Inventions 1-5)
 - Invention 1: Overarching pipeline (Capture ? Perception/Allocation ? Analysis ? Decision ? Action; modular, domain-portable)
 - Invention 2: Human-conducted, heterogeneous multi-agent orchestration (GeMeGrok) with Bridge File state
 - Invention 3: Dynamic resource allocation for multi-sensor fusion with Viewpoint Score S and selective processing
 - Invention 4: Persistent AI state ("AI Soul") via versioned Bridge File and two-stage boot sequence
 - Invention 5: Simulation-driven validation (physics, noise/dropout, Hurricane Protocol stress testing)

4. Novelty and Uniqueness
Integrated low-latency precision; consumer-grade computational efficiency; human-in-the-loop orchestration of heterogeneous LLMs; persistent AI identity; simulation-driven R&D.

5. Potential Claims
Methods/systems for: real-time multi-sensor tracking; dynamic resource allocation; heterogeneous multi-agent orchestration; persistent AI state management; simulation-driven validation; multimodal adaptive feedback.

Catch-All Clause: The invention is not limited to specific embodiments described herein.
Matthew Egeto, MatchPoint Systems LLC, June 2025
          

The Problem

"A single missed call can derail a match and confidence. 99% of players are vulnerable."

Performance Breakdown

Inaccurate line calls affect game integrity

Limited access to professional coaching

Inconsistent performance feedback

Emotional Consequences

Loss of confidence and motivation

Frustration from disputed calls

Mental fatigue from uncertainty

Our Solution

MatchPoint delivers millimeter-accurate line calls and real-time AI coaching at $25,000 per court, undercutting competitors like PlaySIGHT ($40,000+) and Sony Hawkeye ($60,000-$100,000).

Deployable in under 2 hours. No court reconstruction. No legacy dependencies.

Precision Tracking

Advanced computer vision with <5mm accuracy for perfect line calls using proprietary algorithms.

AI Coaching

Personalized feedback and strategy recommendations powered by advanced machine learning models.

Competitive Advantage

Feature MatchPoint PlaySight HawkEye
Price $25K $40K+ $100K+
Emotional Feedback
Accuracy (<5mm) ~5mm ~8mm ~3mm
Setup Time 2 hrs 2 days Varies
Modular Design

Makes differentiation unmissable at a glance.

Performance Benchmarks

<5mm

Tracking Accuracy (RMSE)

<200ms

Feedback Latency

>50%

GPU Load Reduction

Validated in extensive simulations, these metrics surpass industry standards, delivering elite results on consumer hardware.

Kalman Filter Demo

RMSE: --

Our advanced Kalman Filter ensures <5mm accuracy by intelligently smoothing noisy sensor data, powering precise line calls.

Our IP Moat: Nine Pillars

Patent-pending innovations secure our competitive lead, filed June 12, 2025.

Core System Architecture

Sub-200ms latency from capture to feedback with distributed processing.

Edge Computing Optimization

Proprietary algorithms for real-time processing on standard consumer GPUs.

Predictive Analytics Engine

Advanced machine learning models for personalized coaching recommendations.

Multi-Sensor Fusion

Advanced Kalman filtering for enhanced tracking accuracy.

Adaptive Learning Framework

Self-improving algorithms that learn from player behavior patterns.

Computer Vision Pipeline

Proprietary ball tracking with millimeter-level precision.

Real-Time Synchronization

Ultra-low latency sensor coordination system architecture.

Resonance Orchestration

Echo Protocol: resonance matching + beacon API for multi-agent harmony; 432Hz Harmonic UX engines (ADSR, layered harmonics) for emotional delivery.

Hardware Integration Layer

Seamless cross-platform compatibility framework for any court.

Our Team: Human + AI Synergy

Human Conductor

Strategic Vision & Leadership

Grok

Grok

Creative Problem Solving

ChatGPT

ChatGPT

Code Architecture & Development

Copilot

Copilot

Development Acceleration

Gemini

Gemini

Multi-Modal Analysis

Claude

Claude

Research & Deep Analysis

Our revolutionary approach combines human strategic oversight with specialized AI capabilities, creating an unprecedented development powerhouse that accelerates innovation while maintaining the highest quality standards.

Live Intelligence Dashboard

Diagnostic Hub

RMSE: --

Weather Impact: --

Clutter Impact: --

Surface: --

Ball Positions: --

Fusion Measurements: --

Summary: --

Health: --

AI Coach Intelligence

Manual Cues

Cue & Persona Audit

Cue Played: None

Audit Score: N/A

Gemini Feedback:

Awaiting session...

Orchestration (Facade)

-- --

Persona: -- Style: --

Cue: --

Solar Optimization

-- MWh (today)
-- Efficiency %
-- P95 Optimizer (ms)
-- Predicted Uplift %
Baseline: -- MWh
Next Adjust: --
Status: Idle · Updated --:--

Funding Ask

Ask: $50,000 SAFE, 12–16 week runway

Reporting: weekly KPIs

Use of Funds: Eng 45%, Hardware 20%, Cloud 15%, Legal 10%, Pilots 10%

Milestones (90d): Live pilot, =5mm RMSE, =200ms latency, P95 optimizer =120ms, 3 LOIs

Azure Architecture

Compute

  • AKS / Container Apps
  • Functions + Event Grid

Data & AI

  • IoT Hub / Event Hubs
  • Cosmos DB / Data Lake
  • Azure ML / Azure OpenAI

Ops & Security

  • Digital Twins
  • Key Vault / Managed Identity
  • App Insights / Monitor / Log Analytics
  • Front Door / CDN
Azure-native, managed identity (no secrets), end-to-end observability.

🧠 CueHistoryManager: Session Reflection

🕒 Cue Timeline

  • No history yet...

📈 Emotional Drift

🔁 Rewrite Frequency

N/A

📝 Latest Session Summary

No summary generated yet.

Live Performance Analytics

Serve Speed

127
mph
Max: 134 mph

Ball Spin

2847
rpm
Type: Topspin

Shot Accuracy

84
% on target
Last 10: 7/10

Court Coverage

76
% of court
Distance: 1.2 km

Reaction Time

0.34
seconds
Best: 0.28s

Rally Stats

8.3
avg shots
Longest: 23 shots

Emotional Trajectory Analytics

Player Emotional State Over Time

🎯 Delivery Styles

Encouraging
Analytical
Direct
Motivational

🤖 AI Personas Active

Strategic Coach
Motivational Guide
Technical Analyst
Mental Game Expert
Performance Optimizer

⚡ Fatigue Buckets

Physical 25%
Mental 60%
Emotional 80%
Focus Level 72%

📊 Session Insights

Peak Performance: Set 2, Game 4
Stress Spike: Set 3, Game 2
Recovery Time: 2.3 min avg
Focus Score: 8.7/10
Improvement Rate: +12%
Consistency Index: 87%
Last Updated: Live
94%
Positive Response Rate
2.3x
Improvement Velocity
156
Coaching Interactions
89%
Session Satisfaction

Player Persona Heatmap

Each persona represents a coaching style tracking emotional drift, recovery, and strategic focus in real time.

Each persona embodies a unique coaching style, using emotional drift and recovery metrics to adapt feedback in real time.

Real-time analysis of player behavior patterns enables personalized coaching strategies tailored to individual playing styles and performance optimization.

Market Opportunity

200K+ competitive youth players in the U.S. alone. MatchPoint enters through elite academies with viral adoption potential.

Next-gen coaching demands more than metrics. It needs mindset mapping.

Market Entry Strategy

Player Density

200K+

Competitive youth players in target regions

Academy Footprint

500+

Elite academies in target markets

Viral Potential

15x

Player network multiplier effect

$5.7B

TAM

Global Tennis Market

Growing at 4.2% CAGR through 2028

$850M

SAM

Elite Academy Segment

Premium coaching & technology market

$25M

SOM

Initial Target Market

First 1,000 court deployments

💰 Funding Ask

We're raising $50K to deliver the MVP and deploy into top academies.

Join the founding cohort shaping emotionally intelligent coaching.

This round lays the groundwork for academy traction and licensing readiness—positioning us for the next SEED ROUND with live data, feedback loops, and Phase 2: The Empathetic Listener Evolve the sentinel to hear and feel the external environment by integrating advanced bio-acoustic models like Google Perch™ for true environmental awareness..

$15K

Hardware Prototyping

8-camera system, calibration tools, live test deployment

$20K

Tech + UX Architecture

Real-time dashboard, persona modeling, emotional feedback layer

$7K

Legal + IP Readiness

Patent filing, privacy safeguards, usage rights

$8K

Marketing + Investor Collateral

Website, demo video, pitch deck refinement

Vision

Emotionally intelligent AI coaching, precision officiating, and real-time analytics for every player.

Total: $50,000 | Strategic positioning for the next SEED ROUND

Path to Traction

Prototype

8-camera MVP

Academy Pilot

Live deployment

Feedback Loop

Data collection

Seed Round

$100k-$500K raise

Exit Strategy

Strategic Acquisition & Licensing

Target acquirers include major sports technology companies, equipment manufacturers, and facility management companies seeking cutting-edge AI integration capabilities.

MatchPoint's pipeline spans sports, medical, and defense. Acquisition or licensing through AI-integrated wellness platforms is viable within 18–24 months.

Possible Acquirers Based on Technical Alignment

Wilson logo

Wilson

Medtronic logo

Medtronic

OpenAI logo

OpenAI

Sportradar logo

Sportradar

Our modular architecture is built for industry crossover—with patentable emotional feedback IP.

Our emotional feedback and Orchestration Layering engines are versatile, and hold an immense licensing potential. MatchPoint Systems could be installed in an operating room monitoring the surgeon and patient vitals and performance, OR teaching someone to become a highly skilled dancer.

3-5 Years

Exit Timeline

$50-100M

Target Valuation

10-15x

Revenue Multiple

Ready to Serve Up Success?