Tennis Data Company — Wyoming, USA

We compute
tennis.

From raw match feeds to a proprietary computational layer — we build the data infrastructure behind the next generation of tennis products.

Explore products → Our technology

4 tours 3,400+ matches / mo <800ms latency 100% point-by-point coverage

/ 01 — What we do

One machine,
five capabilities.

We own the full pipeline — from distributed collection at the source to millisecond delivery at the edge. No resold feeds, no black boxes.

Data Collection

Distributed collection from hundreds of sources — official tour feeds, chair-umpire scoring, on-court sensors and broadcast metadata — reconciled into a single canonical event stream.

Computational Layer

Our own point-by-point computation engine turns raw events into structured match state, probabilities and derived metrics.

Real-time Delivery

WebSocket streaming at under 800 ms from court to client — scores, stats and state changes pushed the moment they happen.

AI Video Analysis

Frame-by-frame analysis of match footage: ball tracking, stroke classification, serve maps and error patterns.

Historical Archive

A deep, queryable archive of historical matches, players and tournaments — the training ground for every model we ship.

/ 02 — Technology

An engineering pipeline,
not a spreadsheet.

→ 01

Ingestion

Hundreds of heterogeneous sources normalized at the edge, deduplicated and timestamped at the point of origin.

→ 02

Normalization

Every event mapped to one canonical schema — players, tournaments, scoring systems across four tours.

→ 03

Computation

Point-by-point state machines compute live match state, momentum and derived statistics in real time.

→ 04

Delivery

REST, WebSocket and bulk exports — the same computed truth, served to every product in the ecosystem.

Stack Python · ClickHouse · Kubernetes · WebSocket · ONNX

/ 04 — Founded from inside the tour

Built by people who
lived the problem.

Setpoint Data Labs was founded in Wyoming by two people from opposite ends of the same sport: a veteran IT executive with 25 years of building and turning around technology companies, and a professional tennis player, WTA doubles world No. 14, who spent her career inside the tour.

She knew first-hand how poor the data behind professional tennis really was — delayed feeds, missing points, stats that didn't survive scrutiny. He knew how to build the machine that fixes it. Setpoint is where those two decades meet.

Today the company collects, computes and serves tennis data across four tours — and builds the products we always wished existed.

“We didn't buy tennis data. We built the machine that computes it.”

Founders — Setpoint Data Labs LLC

Irina Khromacheva

Co-founder · Product

· WTA doubles world No. 14
· WTA 1000 champion (Wuhan 2024)
· 12 WTA doubles titles
· Former junior world No. 1

Maxim Khromachev

Co-founder · Strategy

· 25 years in IT, 10+ launched projects
· CEO-level IT management, security, large teams
· 167 countries — global business experience

Project readiness — 65% today.tennis + wiki.tennis launch — Q4 2026 Data asset grows daily

We compute
tennis.

One machine,
five capabilities.

Data Collection

Computational Layer

Real-time Delivery

AI Video Analysis

Historical Archive

An engineering pipeline,
not a spreadsheet.

Four products,
one computed truth.

Data API

Live Portal

Encyclopedia

Video Analytics

Built by people who
lived the problem.

We're hiring — data engineers, ML, tennis analysts.

Build with
our data.

We computetennis.

One machine,five capabilities.

Data Collection

Computational Layer

Real-time Delivery

AI Video Analysis

Historical Archive

An engineering pipeline,not a spreadsheet.

Four products,one computed truth.

Data API

Live Portal

Encyclopedia

Video Analytics

Built by people wholived the problem.

We're hiring — data engineers, ML, tennis analysts.

Build withour data.

We compute
tennis.

One machine,
five capabilities.

An engineering pipeline,
not a spreadsheet.

Four products,
one computed truth.

Built by people who
lived the problem.

Build with
our data.