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Standard Model is an agile R&D firm collaborating with the top talent in research, industry, and open source to solve the world's challenges via data science, machine learning, big data, and intelligent application development.

University

With offices in Pittsburgh and Montreal, we are in reach of the leading teams in machine learning and data science.

  • University of Pittsburgh
  • Carnegie Mellon University
  • Ithaca College
  • Université de Montréal
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Industry

Our staff originates from a diverse set of backgrounds and business domains. We share common ambitions of doing good in the world and pushing the state of data science further.

We engage world-class consultants for domain-specific expertise & advisement.

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Open Source

From prototype to production, we create bleeding edge software for business & the world. We run on GitHub - take our software for a test drive

OSS Repositories
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PlanOut4J

Online field experiments at scale.

Contributors

128
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Particle

G8 template for Scala services featuring AWS CodeBuild, S3 snapshot/release publishing, dependency library & more

Contributors

3
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TensorFlow

An open source software library for numerical computation using data flow graphs.

Contributors

24k
Case Study

Enabling Billions of Ad Impressions

A leading mobile DSP engaged our services to improve the machine learning capabilities of their real-time bidding agent

30ms response time

With >1K ads to rank in each user request, latency requirements restricted the use of modern ranking techniques like factorization machines & deep learning

46.8% increase in bids

We designed a waterfall approach that enabled increasingly stronger classifiers while reducing overall computational complexity. This significantly improved targeting capabilities & the number of eligible bids

Eligible Bids

+ 128 billion
Waterfall Baseline
Next service

Read about our services for predicting User Response

Next case study

Matching candidates with Natural Language Processing

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