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>Trace vs Scale AI

Trace AI Company Profile & RankingsScale AI AI Company Profile & Rankings

AI Activity Comparison

Trace

Trace is a company that provides software solutions for data integration and management. Although not primarily an AI company, Trace's products facilitate data processing and analysis, which can be utilized in AI and tech applications. The company's software helps organizations streamline their data workflows.

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.

Data updated: • Live

Based on 14 events tracked for Trace over the past 30 days, updated in near real-time.

Trace versus Scale AI: Live 2026 Comparison

Scale AI leads in development velocity with 2 events this week (significantly more than Trace), while Trace holds the edge in community sentiment at 59% 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. Data refreshes every 5 minutes. Compare other AI companies →

Trace vs Scale AI: Key Signals

Activity:Scale AI 2 events/wk vs Trace 0
Sentiment:Trace 59% vs Scale AI -13%
Rank gap:#59 vs #84 (25 positions apart)
Score:Trace 19 vs Scale AI 15

Data refreshes every 5 minutes. Compare other companies →

Trace vs Scale AI: Head-to-Head

Comparison of key metrics between Trace and Scale AI
MetricTraceScale AI
Rank#59#84
Overall Score19.215.2
7-Day Events02
30-Day Events146
Sentiment59%-13%
Momentum
7d vs 30d velocity
0%0%

📊 Visual Comparison

Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.

Trace
Scale AI
Activity
0vs1
Sentiment
59vs0
Score
19vs15
Momentum
50vs50
Confidence
0vs0

Metric Definitions:

Activity: Weekly GitHub events (max 200 = 100)
Sentiment: Community sentiment (0-100)
Score: Overall ranking score
Momentum: Rank movement trend (50 = neutral)
Confidence: Data confidence level (0-100)

What Separates Trace from Scale AI

Who Ships Faster: Scale AI or Trace?

Scale AI logged 2 events this week vs Trace's 0 — a significant difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 0.4x (6 vs 14), suggesting this pace is consistent.

What Users Think of Trace vs Scale AI

Trace has 59% positive sentiment vs Scale AI's -13%. That 73-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Trace.

Where Trace and Scale AI Rank

Trace at #59 outranks Scale AI at #84 among 2,800+ AI companies. The 25-rank gap reflects different market tiers and adoption levels.

Trace vs Scale AI: Momentum Trend

Both companies show stable or declining momentum, suggesting a period of consolidation rather than rapid expansion.

About Trace and Scale AI

Trace

Rank
#59
Score
19.2
Website
traces.com

Scale AI

Headquarters
San Francisco, CA
Rank
#84
Score
15.2
Website
scale.com

Latest Signals: Trace vs Scale AI

Latest tracked events for each company — product launches, research papers, community discussions, and more.

Trace(0 events this week)

  • TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction

    arXiv cs.AI Feed
  • Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability

    arXiv cs.AI Feed
  • How We Used Hindsight Memory to Build an AI That Knows Your Weaknesses

    Dev.to AI Tag
  • Built an AI Coding Mentor That Never Forgets Your Mistakes

    Dev.to AI Tag
  • TRACE ASI Launches Advanced Market Analysis Platform Powered by Artificial Intelligence - Yahoo Finance Singapore

    Google News - AI General
View all Trace signals →

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 Newest
  • AI Agents Fail 97.5% of Real Jobs: What 3 New Studies Reveal About Agent Reliability

    Dev.to AI Tag
  • Scale AI Launches 'Voice Showdown' To Rival OpenAI, xAI, Anthropic In Voice AI Models - Benzinga

    Google News - AI General
  • A benchmark of expert-level academic questions to assess AI capabilities - Nature

    Hacker News Newest
  • Scale AI logo

    Scale AI Blog
View all Scale AI signals →

Analysis: Trace vs Scale AI

Trace (#59) leads Scale AI (#84) by 25 ranks, reflecting a meaningful difference in overall market position and activity.

Scale AI is shipping faster with 2 events this week, compared to Trace's 0.

Community sentiment diverges sharply: Trace at 59% positive vs Scale AI's -13%.

Watch for: Trace's latest signal ("TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge...") and Scale AI's ("Scale AI launches Voice Showdown, the first real-world bench...") could shift this matchup.

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Why Compare Trace vs Scale AI?

Leader vs Challenger

Trace (#59) has established market position, while Scale AI (#84) is 25 ranks behind. This comparison shows the gap between market leaders and aspiring competitors.

Who Compares Trace and Scale AI

Enterprise Buyers

Comparing market leader against emerging alternative to balance stability vs innovation.

"Trace for enterprise-grade reliability, Scale AI for cutting-edge features."

Key Differences Between Trace and Scale AI

  • **Community Perception**: Trace has notably stronger positive sentiment (73% higher).

Choosing Between Trace and Scale AI

Consider Trace if you value:

  • • Proven market leadership (#59)
  • • Stronger community sentiment

Consider Scale AI if you value:

  • • Higher development activity
  • • Higher substance-to-hype ratio

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