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Machine learning & AI consulting and R&D lab

Data Cowboys is a machine learning and AI consulting lab, founded in 2014. We help teams figure out which models, methods, and bets are worth making: experiments, benchmarking, failure analysis, and technical recommendations grounded in evidence. We run 4–12 week research sprints covering R&D, LLM evaluation and guardrails, search and ranking research, messy data science, forecasting and anomaly detection, and technical due diligence. Clients and collaborators include the Allen Institute for AI, the Gates Foundation, Alongside, Global Health Labs, and the Alzheimer's Disease Data Initiative.

  • Min project size
    $1,000+
  • Hourly rate
    $300+ / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2014

Select Focus Area
Industries
Medical
45%
Non-profit
20%
Retail
15%
Education
10%
Consumer products & services
5%
Media
5%
Clients
Small Business (<$10M)
45%
Midmarket ($10M - $1B)
40%
Enterprise (>$1B)
15%

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Our Story

Co-founders Sergey Feldman and Ilya Barshai started Data Cowboys to bring research-grade thinking, honest evaluation, and clear communication to organizations solving hard problems. Sergey is a Principal Research Scientist at Ai2 with a PhD in machine learning from the University of Washington. Ilya is a Principal Data Scientist at McGraw Hill. We bring rigorous analysis, careful modeling, and straight answers.

What Sets Us Apart

Working models

Trained on your data, with the code and pipelines to rerun everything.

Experiment results

Baselines and head-to-head comparisons you can reproduce end to end.

A decision memo

What to build and what to skip, plus a walkthrough with your team.

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