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>Artificial Analysis vs Cisco

Artificial Analysis AI Company Profile & RankingsCisco AI Company Profile & Rankings

AI Activity Comparison

Artificial Analysis

Artificial Analysis is an independent research and analysis firm focused on the large language model (LLM) sector. The company provides data-driven evaluations, benchmarks, and insights on the performance and capabilities of various AI models and platforms. Its work includes producing analytical reports and hosting discussions on the competitive landscape of LLM providers. A notable aspect of its operation is the AIE talk series, featuring co-founder George Cameron. The firm is currently ranked #24 on an industry leaderboard and has been the subject of multiple recent news events.

Cisco

Cisco Systems, Inc. is an American multinational digital communications technology conglomerate headquartered in San Jose, California. The company develops, manufactures, and sells networking hardware, software, telecommunications equipment, and other high-technology services and products. Cisco specializes in specific tech markets, including the Internet of Things (IoT), domain security, and videoconferencing, with products such as Webex, OpenDNS, and Duo Security. Founded in 1984 by Stanford computer scientists Leonard Bosack and Sandy Lerner, the company pioneered the use of multiprotocol router systems for local area networks. Cisco went public in 1990 and its stock is a component of the Dow Jones Industrial Average, S&P 500, and Nasdaq-100. Its current focus includes the development of enterprise AI systems and related technologies.

Data updated: • Live

Based on 1 events tracked for Artificial Analysis over the past 30 days (1 in the past 7 days), updated in near real-time.

Artificial Analysis versus Cisco: Live 2026 Comparison

Based on real-time data, Cisco outperforms Artificial Analysis across both activity (3 vs 1 events this week) and community sentiment (45% vs 20%). This comparison draws on 4 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 Artificial Analysis has more authentic positioning (gap: -9.6) compared to Cisco (-5.3). Data refreshes every 5 minutes. Compare other AI companies →

Quick Answer

Cisco is significantly better than Artificial Analysis on both activity (3 vs 1 events) and community sentiment (45% vs 20%), making it the stronger and more reliable choice for most users. Artificial Analysis has more honest marketing (hype gap: -9.6 vs -5.3).

Head-to-Head Stats

Comparison of key metrics between Artificial Analysis and Cisco
MetricArtificial AnalysisCisco
Rank#553#40
Overall Score1.026.5
7-Day Events13
30-Day Events126
Sentiment20%45%
Momentum
7d vs 30d velocity
0%0%
Hype Score5.97.5
Reality Score15.512.8
Hype Gap-9.6-5.3

📊 Visual Comparison

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

Artificial Analysis
Cisco
Activity
1vs2
Sentiment
20vs45
Score
1vs27
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)

Key Insights

Shipping Velocity

Cisco logged 3 events this week vs Artificial Analysis's 1 — a 3.0x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 26.0x (26 vs 1), suggesting this pace is consistent.

Community Sentiment

Cisco has 45% positive sentiment vs Artificial Analysis's 20%. That 25-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Cisco.

Marketing Honesty

Artificial Analysis's hype gap of -9.6 vs Cisco's -5.3 means Artificial Analysis delivers on its promises — marketing claims closely match actual capabilities.

Market Position

Cisco at #40 outranks Artificial Analysis at #553 among 2,800+ AI companies. The 513-rank gap reflects different market tiers and adoption levels.

Momentum Trend

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

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Why Compare Artificial Analysis vs Cisco?

Cross-Tier Comparison

Comparing Cisco (#40) with Artificial Analysis (#553) reveals the 513-rank gap between different market tiers. Useful for understanding what separates top-tier from emerging players.

Who Compares These Companies

Enterprise Buyers

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

"Cisco for enterprise-grade reliability, Artificial Analysis for cutting-edge features."

Key Differences

  • **Community Perception**: Cisco has notably stronger positive sentiment (25% higher).
  • **Overall Performance**: 25.5-point score gap indicates Cisco has stronger combined metrics across activity, sentiment, and execution.

Making Your Decision

Consider Artificial Analysis if you value:

  • • Higher substance-to-hype ratio

Consider Cisco if you value:

  • • Proven market leadership (#40)
  • • Higher development activity
  • • Stronger community sentiment
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How Company Comparisons Work

Our comparison system analyzes real-time data across multiple dimensions to give you an objective, data-driven view of how companies stack up.

1

Real-Time Data Aggregation

We pull live data from 200+ verified sources including GitHub commits, arXiv research papers, product launches, Reddit discussions, and tech news. Data refreshes every 5 minutes.

Activity metrics: Events (7d, 30d, all-time)
Community metrics: Sentiment analysis
Reality metrics: Hype vs substance
Market metrics: Rank, score, movement
2

Apples-to-Apples Scoring

Companies operate at different scales, so we normalize all metrics for fair comparison. Events are scored with time decay (recent events count more) and source diversity multipliers.

5 Dimensions: Innovation, Adoption, Market Impact, Media, Technical
Time Decay: Recent events weighted higher than older ones
Source Diversity: Multiple independent sources weighted higher
3

5-Dimension Scoring

Each event is classified across 5 dimensions, then aggregated with time decay and source diversity weighting.

Score = Σ[(Innovation × 25% + Adoption × 25% + Market Impact × 20% + Media × 15% + Technical × 15%) × Time Decay]
Innovation (25%): Product launches, breakthroughs, novel capabilities
Adoption (25%): User growth, integrations, developer ecosystem
Market Impact (20%): Funding, partnerships, acquisitions
Media Attention (15%): Press coverage, community discussion
Technical (15%): Research papers, benchmarks, open source
Sentiment and Hype/Reality are tracked separately as supplementary signals.
4

Visual Comparison

We present the data in multiple formats to help different decision-making styles:

  • Head-to-Head Table: Direct numeric comparison of all metrics
  • Radar Chart: Visual shape shows strengths and weaknesses
  • Key Insights: AI-generated narrative explaining what the numbers mean
  • Hype Detection: Marketing honesty comparison (over-promise vs over-deliver)
5

Always Current

Unlike static "best of" lists that get stale, our comparisons update every 5 minutes. When a company ships a major release or gets negative sentiment, you'll see it reflected immediately.

Why Trust These Comparisons?

100% algorithmic: No human bias, no pay-for-ranking, no editorial interference. The data speaks for itself.

Open methodology: You can see exactly how scores are calculated and what data sources we use.

Real-time validation: Every metric is verifiable through GitHub, arXiv, Reddit, and other public sources.

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