Manage teams, rosters, schedules, practices, games, tournaments, attendance and the relationships between athletes, parents and coaches.
SPORTS INTELLIGENCE
The operating and intelligence
platform for sports.
One connected platform that helps teams and organizations run their work, connects the activity they generate, and turns it into intelligence they can act on.
Built from working software. Proven in real competition.
THE PROBLEM
Sports organizations run on fragmented systems.
Teams, schedules, tournaments, communication, events, payments, performance and knowledge are spread across disconnected tools. The work gets done, but the information and context created along the way rarely stay connected.
More fragmentation. More work. Less intelligence.
THE SOLUTION
Connect the operations. Turn activity into intelligence.
Sports Intelligence helps teams and organizations run the work they already do while continuously creating structured, connected sports data. Sports operations are not separate from the intelligence strategy. They are how the intelligence begins.
WORKING PRODUCT
The foundation is already running.
Sports Intelligence already supports the everyday work that keeps teams and events operating. Scheduling, communication, team activity, event operations and competition activity create structured, connected information instead of leaving it scattered across separate apps.
Keep posts, conversations, polls, comments, media, notifications and schedule changes connected to the teams and activity they belong to.
Plan and execute complex events through structured requirements, tasks, ownership, assignments, dependencies, staffing, readiness and verification.
Collect and manage registrations, team fees and other payments directly within Sports Intelligence, with integrated support for platform fees.
Operations create the facts. Connected facts create intelligence.
Continuously monitor tournament changes, build opponent context and turn competition history into actionable scouting intelligence.
Use requirements, dependencies, assignments, staffing, schedules and execution status to understand readiness, identify risk and surface what needs attention.
Every schedule change, conversation, event, game, tournament and transaction adds context to the same connected sports model.
INTELLIGENCE IN PRACTICE
Tournament Intelligence
One working example of what happens when sports activity becomes connected. Sports Intelligence continuously monitors competition, builds opponent context and turns changing information into intelligence coaches can use.
MONITOR
Tournament Watcher
Continuously monitor schedules, opponents, venues and tournament changes, surfacing important changes as they happen.
UNDERSTAND
Scouting Reports
Turn opponent history, results and available performance data into structured scouting intelligence coaches can use to prepare.
ACT
Coach's Game Summary
Bring the most important opponent, schedule and game context together so coaches can quickly understand what matters next.
REAL-WORLD VALIDATION
Intelligence already changing game-day decisions.
Houston Hoops 14U Jr EYBL
Coach Temaine Wright used Sports Intelligence during real tournament competition, including Tournament Watcher and opponent scouting. His usage and feedback helped shape the intelligence around actual coaching workflows.
Coach Wright credited the scouting reports with making the difference between winning and losing games at Nike Nationals.
Organic demandAfter seeing the platform in use, other Houston Hoops coaches asked for access.
ORGANIZATION-LED GTM
Win the organization. Expand through the network.
Organizations adopt Sports Intelligence across their teams, creating immediate distribution to coaches, athletes and families. Core access is free when the organization processes the required transaction volume through the integrated payment platform.
MARKET OPPORTUNITY
A large ecosystem with multiple paths to revenue.
Youth sports is already a massive economic ecosystem. Sports Intelligence participates in that economy through payment activity and premium operational and intelligence capabilities.
Millions of athletes participate through clubs, teams, leagues, tournaments and other sports organizations.
Registration, team fees, tournament fees and other payments already flow through the sports ecosystem.
Sports Intelligence can participate through transaction economics and paid operational and intelligence capabilities.
WHAT ONE CLUB CAN MEAN
Nearly $1M in annual payment volume.
A representative club with 10 winter teams, 20 fall teams and 30 spring/summer teams can generate meaningful transaction revenue before a single premium feature is purchased.
Illustrative example assumes 10 athletes per team. Transaction revenue shown at a 1% Sports Intelligence platform fee.
Participation: Aspen Institute Project Play, 2023 National Survey of Children's Health data. Family spending: Aspen Institute Project Play, 2024 National Youth Sports Parent Survey. Market size: PwC, Sports Industry Outlook 2026.
BUSINESS MODEL
Make the core easy to adopt. Monetize the activity. Prove the value of everything else.
Sports Intelligence aligns its economics with the activity already happening inside a sports organization. Qualifying payment volume supports the core platform, while premium capabilities create additional revenue when they demonstrate enough value to keep.
Organizations receive the core operating platform at no software cost when they meet the required payment volume through Sports Intelligence.
Removes the traditional software subscription barrierPlatform fees generate recurring revenue as registrations, team fees and other payments move through the organization.
Revenue grows with economic activityFree trials put advanced operational and intelligence capabilities into real workflows before asking anyone to pay for them.
Demonstrate value before conversionPRODUCT ROADMAP
One platform, progressively expanding.
Sports Intelligence is not a collection of independent products. Each new capability extends the same connected operating model and creates more information the intelligence layer can understand.
A substantial operating and intelligence foundation is already running.
Teams, communication, events, competition and payments are already creating connected operational data across the platform.
Rosters, schedules, practices, games, tournaments, attendance and relationships.
Posts, conversations, polls, comments, media and notifications connected to team activity.
Requirements, tasks, ownership, dependencies, staffing, readiness and execution.
Tournament monitoring, opponent research, scouting reports and game preparation.
Readiness, risk, dependencies, staffing pressure and what needs attention.
Integrated payment processing for registrations, team fees and other transactions, with support for Sports Intelligence platform fees.
Extend the operating model across the entire organization.
Expand Sports Intelligence from teams and events into the organization itself, connecting how the organization is structured, what it offers, who is responsible, what resources it has and how work and money move through it.
As these activities become connected, Sports Intelligence can understand organizational health, forecast demand and capacity, identify constraints and help operators decide what needs attention next.
Extend the connected model into new sports workflows.
The sequence will be driven by customer demand, adoption and the opportunities created by the connected data already in the platform.
Connected documents, media, links, tasks and knowledge with AI-assisted understanding.
Capture what happens during games as structured events, timestamps and performance data.
Connect athlete development, performance and mindset to the broader sports context.
More connected activity creates more valuable intelligence.
As the operating platform expands, each new source of activity and context strengthens the intelligence that can be derived across the platform.
Capacity, financial performance, program health, operational forecasting and recommended action.
Persistent athlete history and understanding across teams, seasons and participating organizations.
Connect development, performance, exposure and opportunity across the athlete journey.
Live game events, statistics and eventually integrated streaming and real-time intelligence.
Understand what attracts people to teams and organizations, what keeps them there, what causes them to leave, and how athletes, coaches, teams, programs and organizations influence movement across the sports ecosystem.
These are not independent products that require separate platforms. They extend the same domain model, identity system, relationships, operational data and intelligence architecture already running today. Each new capability builds on infrastructure and knowledge the platform already has.
The roadmap represents progressive expansion, not parallel product development. Capabilities are added as customer adoption, operational needs and connected data justify the next layer.
COMPOUNDING INTELLIGENCE
Every intelligence makes every other intelligence more valuable.
Sports Intelligence does not analyze performance, mindset, communication, events, organizations and athletes in isolation. Each intelligence becomes context for the others, helping the platform understand not only what happened, but increasingly why it happened and what may happen next.
Changes in mindset can provide context for changes in athlete performance and development.
Engagement and communication patterns can add context to mindset, participation and retention.
Operational risk, staffing, attendance and execution can help explain event costs, revenue and financial outcomes.
Combined intelligence can help explain attraction, retention and movement across athletes, coaches, teams and organizations.
Adding a new intelligence capability creates new relationships with what Sports Intelligence already understands. Performance can be interpreted through mindset. Retention can be understood through communication, performance and relationships. Financial outcomes can be connected to operational execution. The value comes from the connections between them, not simply the number of capabilities.
COMPANY + FOUNDER
Built by an experienced operator. Shaped inside the market.
JKW Sports Intelligence is completing its formation as a Delaware C-Corporation to build and commercialize Sports Intelligence, a connected operating and intelligence platform for sports.
Ken Wallace
Founder • Software Architect • Entrepreneur
View LinkedIn Profile →Ken is a technology architect and entrepreneur who has built and sold businesses in multiple industries. Technology was a driving force behind both Sierra Radiation Dosimetry and JKW Home Services, where software, automation and connected operating systems were used to create more efficient and scalable businesses. He designed and built the technology foundation behind Sports Intelligence and continues to lead the product, architecture and intelligence strategy.
Sports Intelligence grew from years of firsthand exposure to competitive youth sports and the operational problems surrounding teams, tournaments, communication and organizations. Those relationships provided access to real workflows and real competition, allowing the platform to be developed alongside the people using it rather than from assumptions about how the sports industry operates.
Built and sold two businesses in different industries, with technology serving as a driving force behind the operations, efficiency and competitive advantage of both.
Architected and built the connected domain model, operating platform and intelligence foundation behind Sports Intelligence.
Years inside competitive youth sports through multiple children, relationships with coaches and club directors, and direct exposure to clubs competing at the highest levels have provided firsthand visibility into how teams and organizations actually operate and where existing systems fall short.
A development model already proven by the product.
The working platform shown above, including team operations, communication, event operations, payments and competition intelligence, was architected and built with founder-level resources. That was possible because the capabilities share a common domain model and technical foundation rather than being developed as independent products.
New capabilities extend the same identity, relationships, operational data, domain model and intelligence architecture. Development compounds instead of repeatedly rebuilding the same foundation for separate products.
AI-assisted development accelerates implementation, testing and iteration while product architecture, domain modeling and technical decisions remain founder-led.
The company can expand distribution, customer success, productization and specialized expertise without recreating a traditional large product organization for every new capability.
SPORTS INTELLIGENCE
Building the intelligence layer for sports.
Sports Intelligence is moving from a working platform and real-world validation into broader commercialization. Investors interested in the company, current raise and investment terms can request the investor deck.
Request the Investor Deck