>Scale AI vs Thinking Machines Lab
Scale AI AI Company Profile & Rankings • Thinking Machines Lab AI Company Profile & Rankings
AI Activity Comparison
Scale AI
Scale AI, Inc. is a San Francisco-based company that provides data annotation, data labeling, and model evaluation services for the development of artificial intelligence applications. Its offerings include software and infrastructure to support AI development, primarily for computer vision and large language models (LLMs). The company operates a research division, the Safety, Evaluation and Alignment Lab, which focuses on evaluating and aligning LLMs. Scale AI's commercial clients have included Google, Meta, Microsoft, OpenAI, and General Motors. The company also engages in contracts with governments, including the United States for military projects. It was founded in 2016 by Alexandr Wang and Lucy Guo and is backed by investors including Index Ventures and Tiger Global Management.
Thinking Machines Lab
Thinking Machines Lab Inc. is an American artificial intelligence startup and public benefit corporation based in San Francisco. Founded in February 2025 by former OpenAI chief technology officer Mira Murati, the company develops AI technology and infrastructure. In July 2025, it completed a $2 billion early-stage funding round led by Andreessen Horowitz, achieving a $12 billion valuation with investments from Nvidia, AMD, Cisco, and Jane Street. The company launched Tinker, an API for fine-tuning open-weight language models on its internal infrastructure, in October 2025. Thinking Machines Lab's initial team included several high-profile researchers from OpenAI, Meta AI, and Mistral AI, though it has subsequently experienced significant executive departures back to competitors.
Based on 4 events tracked for Scale AI over the past 30 days (2 in the past 7 days), updated in near real-time.
Scale AI versus Thinking Machines Lab: Live 2026 Comparison
Scale AI leads in development velocity with 2 events this week (significantly more than Thinking Machines Lab), while Thinking Machines Lab holds the edge in community sentiment at 52% positive. This comparison draws on 2 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows Scale AI has more authentic positioning (gap: -0.9) compared to Thinking Machines Lab (7.5). Data refreshes every 5 minutes. Compare other AI companies →
Scale AI vs Thinking Machines Lab: Key Signals
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Scale AI vs Thinking Machines Lab: Head-to-Head
| Metric | Scale AI | Thinking Machines Lab |
|---|---|---|
| Rank | #86 | #76 |
| Overall Score | 12.7 | 14.7 |
| 7-Day Events | 2 | 0 |
| 30-Day Events | 4 | 4 |
| Sentiment | 45% | 52% |
| Momentum 7d vs 30d velocity | 0% | +430% |
| Hype Score | 6.9 | 7.5 |
| Reality Score | 7.8 | 0.0 |
| Hype Gap | -0.9 | +7.5 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
What Separates Scale AI from Thinking Machines Lab
Who Ships Faster: Scale AI or Thinking Machines Lab?
Scale AI logged 2 events this week vs Thinking Machines Lab's 0 — a significant difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 1.0x (4 vs 4), suggesting this pace is consistent.
What Users Think of Thinking Machines Lab vs Scale AI
Thinking Machines Lab has 52% positive sentiment vs Scale AI's 45%. The 7-point gap is modest, meaning both have comparable community trust.
Does Scale AI Deliver on Its Promises?
Scale AI's hype gap of -0.9 vs Thinking Machines Lab's 7.5 means Scale AI delivers on its promises — marketing claims closely match actual capabilities.
Where Thinking Machines Lab and Scale AI Rank
Thinking Machines Lab at #76 outranks Scale AI at #86 among 2,800+ AI companies. With 10 ranks between them, they compete for similar market segments.
Scale AI vs Thinking Machines Lab: Momentum Trend
Thinking Machines Lab is accelerating (430% velocity growth) while Scale AI is flat — a diverging trend worth watching.
About Scale AI and Thinking Machines Lab
Thinking Machines Lab
- Rank
- #76
- Score
- 14.7
- Website
- thinkingmachines.ai
Latest Signals: Scale AI vs Thinking Machines Lab
Latest tracked events for each company — product launches, research papers, community discussions, and more.
Scale AI(2 events this week)
Scale AI launches Voice Showdown, the first real-world benchmark for voice AI - and the results are humbling for some top models
• Hacker News NewestClarifying Scale AI's ML Research Engineer Coding Interview Structure for Effective Preparation
• Dev.to Machine Learning TagA benchmark of expert-level academic questions to assess AI capabilities - Nature
• Hacker News NewestScale AI logo
• Scale AI BlogScale AI alum raises $9M for AI serving critical industries in MENA
• TechCrunch AI
Thinking Machines Lab(0 events this week)
Thinking Machines Lab: $120M Valuation Per Employee and the Nvidia Gigawatt Deal
• Dev.to Machine Learning TagMira Murati’s Thinking Machines strikes multibillion chip deal with Nvidia - Financial Times
• Google News - AI GeneralThe New AI Moat: Why Compute Access Is Now More Important Than Talent
• Dev.to AI TagNvidia makes 'significant investment' in Mira Murati's Thinking Machines Lab
• CNBC TechnologyNvidia and Mira Murati's Thinking Machines Lab announce long-term AI partnership
• The Decoder
Analysis: Scale AI vs Thinking Machines Lab
Thinking Machines Lab currently holds the edge at #76, 10 positions ahead of Scale AI (#86), though the gap remains contestable.
Thinking Machines Lab is gaining momentum (430% velocity increase) while Scale AI is holding steady, signaling potential change in this matchup.
Sentiment is closely matched — Thinking Machines Lab edges out at 52% vs 45%, suggesting comparable community trust. Scale AI maintains more authentic positioning with a hype gap of -0.9, compared to Thinking Machines Lab's 7.5 — a key signal for evaluating long-term reliability.
Watch for: Scale AI's latest signal ("Scale AI launches Voice Showdown, the first real-world bench...") and Thinking Machines Lab's ("Thinking Machines Lab: $120M Valuation Per Employee and the ...") could shift this matchup.
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Why Compare Scale AI vs Thinking Machines Lab?
Direct Competitors
Thinking Machines Lab leads at #76 while Scale AI is closing in at #86. With 10 ranks separating them, they're competing for similar market segments and developer mindshare.
Who Compares Scale AI and Thinking Machines Lab
Tech Decision Makers
Evaluating which platform offers better ROI and developer experience for enterprise adoption.
"Choose Thinking Machines Lab for proven scale, or Scale AI for potential agility advantage."
Developers & Builders
Choosing AI tools and platforms based on community sentiment, documentation quality, and ecosystem.
"Consider community feedback and integration ecosystem when making your choice."
Choosing Between Scale AI and Thinking Machines Lab
Consider Scale AI if you value:
- • Higher development activity
- • Higher substance-to-hype ratio
Consider Thinking Machines Lab if you value:
- • Proven market leadership (#76)
- • Stronger community sentiment
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