Athlete-performance platforms, coaching tools, and member engagement that last.
We build the software behind serious sport and fitness — athlete-performance platforms, coaching tools, and member-engagement products that keep people coming back.
We’ve done it since 2012: we built Bridge Athletic from a startup MVP into the platform used by USC, the LA Rams, and MLB and MLS teams. It’s still live today.
Because it has to be correct, fast, and durable all at once, in a domain where the data is messy and the users are demanding. A strength coach will abandon a programming tool the day it slows them down. An athlete who can’t trust a readiness score ignores it.
And a platform that grows for a decade — through new sports, new sensors, new leagues — quietly accumulates the technical debt that eventually makes every new feature a fight.
The hard part is rarely the first version. It is building something an MLS performance staff relies on in-season — ingesting workload and biometric data without choking, turning it into a decision a coach acts on in seconds — and then carrying that product through twelve years of growth without it ever going offline.
Not one product, but a set of systems that earn their place in how athletes train, how coaches work, and how members stay. For each: what it does, the benefit, and how it plays out.
Ingests workload, GPS, wearable, and biometric data and turns it into training-load and readiness insight a performance staff acts on. Benefit — better-prepared athletes and fewer avoidable injuries from overload (the workload-to-injury link is well established in the research; see Measured Impact below).
For example, a sports scientist sees a midfielder’s acute load spike above his chronic baseline mid-week and dials back Thursday’s session — so a soft-tissue injury that would have cost six weeks never happens.
Lets coaches build, assign, and adjust training programs at scale and delivers them to athletes on whatever device they actually use. Benefit — coaches program for hundreds of athletes in the time it took to do a handful, with nothing lost in translation.
For example, a college strength coach pushes an updated lifting block to an entire roster in minutes and sees who completed it, instead of printing sheets and chasing compliance by hand.
Workout tracking, progress, challenges, class booking, and coaching nudges that keep members active — the difference between a paying member and a churned one. Benefit — higher retention, where small percentages are the whole business (industry churn figures in Measured Impact below).
For example, a member who logs three workouts in week one and gets a streak nudge and a class recommendation stays past the six-week cliff where most cancellations cluster — and one retained membership a month compounds across a year.
Turns raw competition, training, and tracking data into dashboards and models coaches, analysts, and front offices can decide on. Benefit — faster, evidence-based decisions on selection, tactics, and load.
For example, an analyst surfaces that a player’s high-speed-running volume has declined three weeks running, prompting a recovery conversation before it shows up as a hamstring strain on game day.
Daily check-ins, sleep and wellness inputs, and recovery scoring that flag the athletes who need attention before they break down. Benefit — staff time goes to the athletes who actually need it, not a spreadsheet.
For example, a morning readiness flag on three athletes routes the medical staff to them at 7 a.m. instead of finding out at the afternoon session.
This is the scope that separates a product athletes and coaches rely on for years from a demo that stalls after the first season.
We build the data backbone that ingests workload, wearable, GPS, and biometric inputs and turns them into load, readiness, and risk insight — the analytics layer a performance staff trusts in-season, built on machine learning where the models earn it.
Programming builders, exercise and drill libraries, scheduling, roster and compliance tracking, and athlete delivery across web and mobile — the day-to-day surface coaches and staff live in.
Workout tracking, progress, challenges, class booking, payments, and nudges — the engagement loop that moves retention, built for the iOS/Android reality your members actually use.
Dashboards, reporting, and models over competition, training, and tracking data — turning raw feeds into selection, tactical, and load decisions, on top of solid data-analytics engineering.
Where it pays, a conversational assistant that answers training, program, and policy questions in plain language — grounded in your own content, escalating to a human when it should.
If you have a live product carrying years of growth, we re-platform, migrate, and pay down technical debt without taking it offline — the exact thing we did for Bridge Athletic across 12+ years.
What you get when you hire us — all assigned to you
The same delivery model behind every Silicon Prime build, tuned for sport and fitness — one accountable lead, fixed scope, no handoffs.
Scope the product, the users (athletes, coaches, members, front office), and the data and devices it must work with.
Output: a ranked plan & the success metrics
Define the data model, the integrations, and the experience the demanding user will actually adopt.
Output: an architecture & an in-season build plan
Develop in your own cloud tenant, wired to your wearables, systems, and data feeds, tested before anyone in the field depends on it. For a live platform, we build and migrate without it ever going offline.
Output: a working product behind your controls
Staged rollout, then wide, with monitoring in place and your team trained to operate and extend it.
Output: a production platform & a team that owns it
Most engagements reach production in 4–8 weeks, payment is tied to ROI, and full IP assignment is signed at kickoff.
In 2012 we shipped the first version of Bridge Athletic as a startup MVP. Over 12+ years we carried it through round after round of modernization, re-platforming, and technical-debt paydown — and it never went offline.
It grew into the strength-and-conditioning platform used by USC, the LA Rams, and MLB and MLS teams, with the company acquiring Game Plan in 2024. That is the full arc this page is about: the day-one build, the demanding professional users, and the long-haul reliability that keeps a sports product alive through everything that changes around it.
This is the one industry where our deepest proof is a direct, named, public match — not an adjacent example. Build or scale athlete-performance, coaching, or engagement software with us, and you’re working with the team that has already done it at the level of professional and collegiate sport.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, personally accountable for every engagement.
We’ve actually shipped and sustained sports tech. Twelve-plus years on Bridge Athletic, from MVP to a platform trusted by USC and the LA Rams, is sports-software experience almost no agency can claim — and it’s the proof on this page, not a stock photo.
Built to last, not just to launch. Sport and fitness products live or die over years. We engineer for the second season and the tenth — modernizing and re-platforming without downtime, because we’ve had to do exactly that.
Founder-led, one accountable lead. No account managers, no handoffs — the person who scopes your platform answers for it.
Built to transfer. Code, data models, and the trained team are assigned to you under full work-for-hire IP assignment; keep us on a reduced retainer or take the keys.
What teams want to know before they start sports software development.
Directly. We built Bridge Athletic from a 2012 startup MVP into the strength-and-conditioning platform used by USC, the LA Rams, and MLB and MLS teams, and it’s still live 12+ years later. Sports and fitness is the one industry where our deepest proof is a named, public, directly-matching client — you’d be hiring a team that has done this exact work at the professional and collegiate level.
Yes — ingesting workload, GPS, wearable, and biometric data and turning it into usable insight is core to performance software. We scope your specific devices and data feeds in Discover and build the integration and data layer to match. The point of the platform is to make that data act on a decision, not just store it; we measure that it does.
By engineering for correctness before the field depends on it. Load and readiness models are built on established sports-science methods — acute:chronic workload ratios, where elevated ratios (≥1.5) correlate with 2–4× greater injury risk in peer-reviewed research (ACWR/IOC consensus) — validated against your own data and tested before launch. Where a model isn’t reliable enough to drive a decision, we say so rather than ship a number coaches will learn to ignore.
Both. Member-facing fitness apps — tracking, challenges, class booking, payments, engagement nudges — are squarely in scope, and so are team and athlete-facing performance tools. The consumer fitness app market is projected to roughly triple toward $33.58 billion by 2033 (Grand View Research), and the engineering that wins there is the same we apply to performance platforms: reliable, fast, and built to retain.
That’s one of our strongest cases. We carried Bridge Athletic through 12+ years of modernization, migration, and re-engineering without it going offline. We assess what you have, stabilize it, and modernize it incrementally — see our application modernization work — so a platform that’s become hard to extend can keep serving athletes while we rebuild underneath it.
The platform runs in your own cloud tenant under your access controls, integrations use scoped permissions, and every engagement starts with an NDA and a security review. Athlete and health-adjacent data is handled conservatively and documented end to end, so your team verifies the data paths rather than trusting them. Where regulated health data is in scope, we scope the compliance requirements explicitly up front.
You do — completely. Code, data models, and integrations transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend the platform. Keep us on a reduced retainer for the long haul or take the keys; the engagement is built around the handover.
Most platforms reach an initial production release in 4–8 weeks under a fixed-scope engagement with one accountable lead, with payment tied to ROI. Total cost depends on scope — our AI development cost guide gives real ranges — and the longer product partnership, the kind that carries a platform for years, is scoped as a separate ongoing relationship.
Thirty minutes · No pitch deck
Bring the product — athlete performance, coaching, member engagement, or a live platform you need to modernize — and we’ll tell you honestly what it takes to build, what it costs, and how we’d keep it alive for the long haul.