<div class="eyebrow">Cambridge Prediction Analytics</div>
<div class="hero-title">Predict <br/><span class="hero-accent">Analyze</span> <br/>Deploy<br/></div>
<div class="tagline">Cutting-edge research, made accessible.</div>
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<a class="btn-primary" href="/Install/Get%20Started">Get the Engine</a>
<a class="btn-ghost" href="/The%20Engine/Overview">About the research</a>
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<div class="section-label"><span class="num">01</span> The Method</div>
<div class="section-title">A new way to <em>reason</em> about uncertainty.</div>
Relevance-Based Prediction (RBP) is novel mathematical research developed by the founders of Cambridge Sports Analytics. RBP treats every prediction as an information problem — weighting historical observations by how much they actually inform the present.
**Most prediction systems hand you a number. Our method tells the story behind every prediction.**
By grounding forecasts in information theory, we surface which observations drove the result, how much each one mattered, and where the model is least confident.
No black boxes. Just transparent math, served at production speed.
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<div class="pillar-num">↳ </div>
<div class="pillar-title">Advanced Insights</div>
<div class="pillar-text">Forecasts derived from relevance weighting grounded in formal information theory.</div>
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<div class="pillar-num">↳ </div>
<div class="pillar-title">Transparent by design</div>
<div class="pillar-text">Every prediction comes with evidence behind it. Understand the story behind every prediction.</div>
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<div class="pillar-num">↳ </div>
<div class="pillar-title">Built to ship</div>
<div class="pillar-text">Designed for production from day one — three deployment shapes that match how real teams work.</div>
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<div class="section-label"><span class="num">02</span> The Solution</div>
<div class="section-title">Built for <em>professionals</em>.</div>
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<div class="solution-num">/01</div>
<div class="solution-title">Quantitative researchers</div>
<div class="solution-desc">Prototype models against the engine through the Python SDK. Inspect relevance weights, validate hypotheses, and ship findings without wrestling with infrastructure.</div>
<div class="solution-tag">[[RBP Engine]]</div>
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<div class="solution-num">/02</div>
<div class="solution-title">Regulated industries</div>
<div class="solution-desc">Run the full engine inside your VPC or on-premise infrastructure. Meet privacy, residency, and latency requirements without compromising the math.</div>
<div class="solution-tag">Native Lib</div>
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<div class="solution-num">/03</div>
<div class="solution-title">Enterprise Solutions</div>
<div class="solution-desc">Scale and solve concurrent prediction tasks and evaluate insights with serverless API integration.</div>
<div class="solution-tag"> Rest API </div>
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