Data month 2026-08
Applied Compute
appliedcompute.com
Applied Compute
Applied Computeappliedcompute.comTraining and inference platform for enterprise-customized models.
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According to AlphaMoat, in 2026-08 Applied Compute (appliedcompute.com) received 52,965 monthly visits (-25.7% MoM) — ranked #4,996 of 17,412 AI websites with traffic data, and #211 of 1,129 in Other Industries; its largest market is United States (88.0% of visits).

Monthly Visits · 2026-08
53.0K-25.7%
Overall Rank (17,412)
#4,996
Other Industries Rank (1,129)
#211
Top Market
United States88.0%

What is Applied Compute

Product Overview

Applied Compute provides a training and inference platform for open models, calling itself the 'AI Supercloud for Open Models' and arguing the best AI is built, not bought, so organizations can train, infer, and continuously improve any model with their own data. Its terms of service position it as building dedicated intelligence systems for specific jobs for enterprises.

Key Features2 items
  • 01It covers training-recipe design, dataset and evaluation-environment construction, task design, and large-scale reinforcement learning in production
  • 02the website quotes several customers: Cognition's head of engineering says its training recipes are tailored to product and use case, Harvey's president says it provides the high-performance training infrastructure needed to run large-scale RL, and Mercor's co-CEO notes it reached frontier-level performance on APEX Agents with only 2,000 tasks. The platform also offers Agent Cloud, documentation, and a news-research section, and requires a demo request

12-Month Traffic Trend

Hover for monthly values
Latest 53.0KMoM-25.7%
-25.7K51.4K77.0K26-0626-07
2026-06
55.7K
2026-07
71.3K
+28.1%
2026-08
53.0K
-25.7%

Visits by Country · Top 5

2026-08 · Share of total visits
United States
46,59688.0%
India
4,2818.1%
Switzerland
1,0652.0%
UK
4670.9%
France
2270.4%

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Data month: 2026-08 · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.