>ElevenLabs vs Mastercard
ElevenLabs AI Company Profile & Rankings • Mastercard AI Company Profile & Rankings
AI Activity Comparison
ElevenLabs
ElevenLabs Inc. is a software company that develops natural-sounding speech synthesis and voice cloning software using artificial intelligence and deep learning. The company was co-founded in 2022 by former Google machine learning engineer Piotr Dąbkowski and former Palantir deployment strategist Mati Staniszewski. It raised a $2 million pre-seed funding round in January 2023, led by Credo Ventures and joined by Concept Ventures, and secured a $19 million Series A round at a $100 million valuation in June of the same year. The company publicly released its beta platform in early 2023. Its technology is focused on AI voice intelligence, and it is currently ranked among the top companies in the AI industry.
Mastercard
Mastercard Inc. is an American multinational corporation that provides payment card transaction processing and related services. Headquartered in Purchase, New York, its core business involves processing payments between the banks of merchants and the card-issuing banks or credit unions of purchasers who use Mastercard-branded debit, credit, and prepaid cards. The company, which has been publicly traded since 2006, was created by an alliance of banks in response to the BankAmericard, now Visa. Mastercard has recently focused on artificial intelligence, unveiling an agentic AI suite designed to help businesses streamline their operations.
Based on 31 events tracked for ElevenLabs over the past 30 days (12 in the past 7 days), updated in near real-time.
ElevenLabs versus Mastercard: Live 2026 Comparison
Based on real-time data, ElevenLabs outperforms Mastercard across both activity (12 vs 2 events this week) and community sentiment (61% vs 36%). This comparison draws on 14 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 Mastercard has more authentic positioning (gap: -2.7) compared to ElevenLabs (-1.1). Data refreshes every 5 minutes. Compare other AI companies →
Quick Answer
ElevenLabs is significantly better than Mastercard on both activity (12 vs 2 events) and community sentiment (61% vs 36%), making it the stronger and more reliable choice for most users. Mastercard has more honest marketing (hype gap: -2.7 vs -1.1).
Head-to-Head Stats
| Metric | ElevenLabs | Mastercard |
|---|---|---|
| Rank | #34 | #51 |
| Overall Score | 30.6 | 20.9 |
| 7-Day Events | 12 | 2 |
| 30-Day Events | 31 | 7 |
| Sentiment | 61% | 36% |
| Momentum 7d vs 30d velocity | 0% | +215% |
| Hype Score | 6.7 | 7.2 |
| Reality Score | 7.8 | 9.9 |
| Hype Gap | -1.1 | -2.7 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
Key Insights
Shipping Velocity
ElevenLabs logged 12 events this week vs Mastercard's 2 — a 6.0x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 4.4x (31 vs 7), suggesting this gap is widening.
Community Sentiment
ElevenLabs has 61% positive sentiment vs Mastercard's 36%. That 26-point gap is significant — it signals stronger user satisfaction and fewer community complaints about ElevenLabs.
Marketing Honesty
Mastercard's hype gap of -2.7 vs ElevenLabs's -1.1 means Mastercard delivers on its promises — marketing claims closely match actual capabilities.
Market Position
ElevenLabs at #34 outranks Mastercard at #51 among 2,800+ AI companies. The 17-rank gap reflects different market tiers and adoption levels.
Momentum Trend
Mastercard is accelerating (215% velocity growth) while ElevenLabs is flat — a diverging trend worth watching.
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Why Compare ElevenLabs vs Mastercard?
Leader vs Challenger
ElevenLabs (#34) has established market position, while Mastercard (#51) is 17 ranks behind. This comparison shows the gap between market leaders and aspiring competitors.
Who Compares These Companies
Enterprise Buyers
Comparing market leader against emerging alternative to balance stability vs innovation.
"ElevenLabs for enterprise-grade reliability, Mastercard for cutting-edge features."
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."
Key Differences
- **Activity**: ElevenLabs shows 10 more events in 7 days, suggesting higher development velocity.
- **Community Perception**: ElevenLabs has notably stronger positive sentiment (26% higher).
Making Your Decision
Consider ElevenLabs if you value:
- • Proven market leadership (#34)
- • Higher development activity
- • Stronger community sentiment
Consider Mastercard if you value:
- • Higher substance-to-hype ratio
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.
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.
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-Dimension Scoring
Each event is classified across 5 dimensions, then aggregated with time decay and source diversity weighting.
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)
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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