Moddy for Business

Build your own sports prediction models.

No code and no data science team required. If you have one, they’ll move faster.
Book a call

Already have a data science team?

Labs makes them faster. The data, training, calibration, live predictions, and grading are already built, so your data scientists spend their time on ideas instead of pipelines. What they build goes live in your product.
Build it yourself
17 steps, including a loop that never ends
Hire a data science team
Ongoing cost: three salaries
3 roles
  • Data scientists to design the models
  • Data engineers to build the pipelines
  • ML engineers to deploy and run them
Build the data foundation
Ongoing cost: data licensing contracts
4 steps
  • License historical data
  • Wire up live odds feeds
  • Collect game results
  • Clean, join, and rebuild history as of each game
↻ Repeats until something works
Run the experiment loop
Ongoing cost: compute for every training run
6 steps
  • Assemble training data
  • Engineer features, check correlation and multicollinearity
  • Tune hyperparameters
  • Run a full training
  • Evaluate and backtest
  • Calibrate
↻ Every hour, forever
Keep it running
Ongoing cost: infrastructure, 24/7
6 chores
  • Build pick grading and settlement
  • Run predictions hourly, 24/7
  • Capture point-in-time data
  • Grade picks and tally performance
  • Write the analysis for your users
  • Monitor for drift and refresh
↻ Then rebuild it all for every new model
Moddy Labs
Build your own
✓ No team to hire
✓ Data foundation already built
✓ Runs hourly, 24/7, graded on live results
Describe your idea
↻ Fast check before full training
Run quick tests
Weak and redundant inputs flagged, with fixes suggested
3 steps
  • Run quick tests instead of full trainings
  • See weak and redundant inputs flagged, with fixes suggested
  • Adjust the idea and test again
Train and calibrate
Integrate our API
Go live in your product
↻ Start the next model from your idea

What Labs does

  1. 1

    Describe your idea

    Describe an angle in plain English. Lab Partner, Moddy’s AI assistant, turns it into model inputs and suggests stats you hadn’t considered. You decide what goes in.

  2. 2

    Train, test, calibrate

    Every model is trained and tested against the market before it can be published, and calibrated where there’s enough data.

  3. 3

    Run it live

    Published models predict every game they cover, and feed the picks and written analysis in your product.

  4. 4

    Measure it

    Every model is graded on live results, the same way we grade ours.

Several Labs, one account

A Lab is a private workspace where your team builds and runs its models. Every person gets a seat, and your Admins decide who’s in.

Moddy can build it for you

Our team can build models to your spec inside your Lab, so you can start producing before your team has built a thing.

Your models, graded live.

ROI, closing-line value, and calibration on every settled pick, the same way we grade ours. Never backtests.

Built around your product

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Delivered into your product. Picks, written analysis, and performance data arrive by REST API, and you build and run the experience.
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Ranked picks built around your audience. As many ranked pick lists as you need, with written analysis.
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A paid pilot, then a one-year agreement. We set up your Labs and help your team build its first models.
See how we workRequest API docs →

Built for

Rather use our models? Moddy Signals →

A note on outside models

Moddy works with models built on Moddy. We don't import predictions from outside systems. If you have in-house models today, your team can rebuild those ideas in Labs, where they're trained, calibrated, and tracked on the same footing as everything else.

Start with a scoping call.

Tell us about your product and your audience. We'll come back with a proposed pilot scope.
Moddy starts at less than the data alone would cost you. We’ll quote your pilot after the scoping call.
Book a call
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Scoping call
A conversation about you and your goals.
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30-day pilot
Live in your product with a test group.
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Pilot scope
We come back with a proposed plan.
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Decision
Continue to a one-year agreement, or stop.