Sports arbitrage finder
Rescans MLB moneylines across sportsbooks on a two-minute cycle during evening games. It counts games scanned, books compared, and margins found, and zero is a common answer.
Open the finderFive of the six products below refresh on schedules from two minutes to a week, and the sixth is a published model write-up. The numbers on those pages come from real feeds, and the scoreboard includes our losses. The person you talk to is the person who writes the code.
San Luis Obispo, California · 35.28 N / 120.66 W

Consulting claims are hard to verify, so we publish measurable work instead. One dashboard grades its own forecast against yesterday's actuals. One write-up reports our model's exact record against the betting market, including the games where the market won. Browse the six products below, then email us when you want the same treatment for your data.
Rescans MLB moneylines across sportsbooks on a two-minute cycle during evening games. It counts games scanned, books compared, and margins found, and zero is a common answer.
Open the finderCharts statewide electricity demand from five-minute grid data, breaks down the generation mix, and posts the average miss of yesterday's three-hour forecast.
View the dashboardWe trained the model on 4,857 games and scored it against the betting market's closing line. It called home wins at 56.1 percent on held-out games, the closing line scored higher, and the write-up prints both numbers.
Read the write-upRebuilt by 8 a.m. Pacific for eight cities, from San Luis Obispo to Tokyo. Stories sort into opportunities and risks, and source links sit one click from the claims.
Read the briefingsCounts new San Luis Obispo County business licenses over a rolling 90 days and splits them by town, trade, and week. Refreshed weekly from county records.
View the trackerRenders 31,648,998 recorded ship positions from four days of U.S. coastal traffic, with density shading computed server-side as you pan and zoom.
Open the mapWe cover the full pipeline, from raw data to the dashboard your team opens every morning. The deliverable is something that runs in production.
Forecasts and predictive models aimed at the questions that actually cost or make you money.
Pipelines and warehouses that pull your scattered data into one place everyone can rely on.
Working tools built on top of your own data. LLM copilots, document search, and automation that clears out the repetitive work.
No black boxes. You see what we're doing and why, and you get something usable early instead of waiting months for a big reveal.
We dig into how you work and what your data actually looks like. Usually it's messier than expected.
We scope something tight, with a number we're trying to move and a date to hit it by.
Models, pipelines, dashboards. Short loops, so you're never surprised by what shows up.
We harden it, document it, and hand it over. The point is that it keeps paying off after we're gone.
The person you talk to is the person writing the code. No handoff to a junior bench once the contract's signed.
A stack of deliverables doesn't mean much on its own. What matters is whether the work saved money or gave people their time back. That's what we measure against.
When we're done, your team can run and extend what we built. No permanent dependency on us.
Book a free 30-minute call. Tell us what you're trying to solve, and we'll give you a straight answer on whether we're the right fit.