Zero Point Analytics and Research Lab
The intelligence engine of the Zero Point ecosystem — where measurement, research, and AI converge into decision-grade intelligence.
To be the intelligence engine of the international sports community — the lab where measurement, research, and AI converge to raise the ground state of every athlete, program, and partner in the Zero Point ecosystem.
Strategic Roles
Five Strategic Roles
Intelligence Engine
Turns raw ecosystem data into decision-grade intelligence for athletes, programs, and partners.
Research Lab
Runs applied studies on performance, development pathways, and system design.
Measurement Authority
Defines the metrics, instruments, and standards used across every ZPSN engagement.
Product Incubator
Prototypes and hardens data products before they graduate into the service pillars.
Strategic Advisory Unit
Advises leadership and partners with evidence-based recommendations and scenario analysis.
Core Capabilities
Capability Strength
Operating Model
A Six-Step Intelligence Cycle
Ingest
Collect athlete, program, and partner data from every ecosystem touchpoint.
Structure
Normalize and architect the data into reusable, governed schemas.
Analyze
Apply statistical and AI methods to surface patterns and evidence.
Synthesize
Convert analysis into intelligence products stakeholders can act on.
Deploy
Ship intelligence into engagements, matches, and partner decisions.
Learn
Measure outcomes and feed every result back into the loop.
Strategic Objectives
Six Strategic Objectives
AI Layers
AI Embedded Across the Lab
Six layers where AI amplifies — never replaces — human judgment.
Evaluation Intelligence
Models assist coach evaluators with structured scoring, consistency checks, and bias detection.
Matching Optimization
Algorithmic matching balances athlete goals, program needs, and roster constraints.
Document & Proposal Drafting
AI drafts proposals, briefs, and reports from structured data — humans approve.
Research Acceleration
Literature synthesis, hypothesis generation, and analysis support for applied studies.
Pipeline Automation
Ingestion, cleaning, and transformation pipelines run with AI-assisted quality control.
Advisory Copilots
Scenario modeling and decision support for leadership and partner strategy.
Projects
Lab Projects
NCAA Matching MVP
24 athletes matched across 15 NCAA programs over 5 rounds — 100% match completion.
Coach Evaluation Framework
150 structured coach evaluations feeding comparable athlete profiles.
Roster Slot Database
313 roster slots mapped and maintained across partner programs.
Proposal Engine
53 proposals generated and tracked through the matching workflow.
Match Round Protocol
A repeatable 5-round match protocol with defined metrics at every stage.
Strategic Landscape
Advantages vs. Risks & Guardrails
Advantages
- Proprietary evaluation and matching dataset that compounds every cycle
- Physics-derived framework differentiates from generic analytics shops
- Principals with deep national-team and NCAA relationships
- AI-native workflows from day one — no legacy process debt
- 100% match completion MVP as proof of concept
Risks & Guardrails
- Small-sample conclusions — guardrail: publish confidence levels with every finding
- Data privacy and athlete consent — guardrail: explicit consent and governance policies
- Over-reliance on AI outputs — guardrail: human review on all stakeholder-facing intelligence
- Scaling quality of coach evaluations — guardrail: rater training and consistency audits
Intelligence Products
Stakeholder-Facing Deliverables
Athlete Intelligence Profiles
Program Fit Reports
Match Round Briefs
Season Outcome Scorecards
Partner Strategy Memos
Research Publications
Evaluation Benchmarks
Ecosystem Dashboards
If Zero Point is the platform, ZPAR is what makes it intelligent.
Partner with the lab that turns measurement into advantage.
Engage With ZPAR