>ElevenLabs vs Nex
ElevenLabs AI Company Profile & Rankings • Nex 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.
Nex
Nex is an American technology company that develops hardware and software for interactive entertainment. Its primary product is the Nex Playground, a video game console released in December 2023. The device is a compact cube equipped with a built-in ultra wide-angle camera and an AI-powered motion tracking engine, designed to facilitate indoor active play through motion capture. Developed as a successor to motion-sensing technologies like Microsoft Kinect, the console targets a family audience. It features an 8-core ARM processor, 64GB of storage, and connects to a television via HDMI. The company is currently ranked #279 on an AI industry leaderboard.
Based on 31 events tracked for ElevenLabs over the past 30 days (11 in the past 7 days), updated in near real-time.
ElevenLabs versus Nex: Live 2026 Comparison
ElevenLabs and Nex are neck-and-neck in the AI rankings, separated by just 3 positions. ElevenLabs ships faster (11 events/week), while Nex has stronger community approval (65% positive). This comparison draws on 21 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 ElevenLabs has more authentic positioning (gap: -1.1) compared to Nex (3.1). Data refreshes every 5 minutes. Compare other AI companies →
Quick Answer
ElevenLabs is 1.1x more active (11 vs 10 events), while Nex has better community sentiment (65% vs 61%). Choose ElevenLabs for cutting-edge features or Nex for reliability. ElevenLabs has more honest marketing (hype gap: -1.1 vs 3.1).
Head-to-Head Stats
| Metric | ElevenLabs | Nex |
|---|---|---|
| Rank | #35 | #38 |
| Overall Score | 30.2 | 29.3 |
| 7-Day Events | 11 | 10 |
| 30-Day Events | 31 | 11 |
| Sentiment | 61% | 65% |
| Momentum 7d vs 30d velocity | 0% | 0% |
| Hype Score | 6.7 | 13.1 |
| Reality Score | 7.8 | 10.0 |
| Hype Gap | -1.1 | +3.1 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
Key Insights
Shipping Velocity
ElevenLabs logged 11 events this week vs Nex's 10 — a 1.1x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 2.8x (31 vs 11), suggesting this pace is consistent.
Community Sentiment
Nex has 65% positive sentiment vs ElevenLabs's 61%. The 4-point gap is modest, meaning both have comparable community trust.
Marketing Honesty
ElevenLabs's hype gap of -1.1 vs Nex's 3.1 means ElevenLabs delivers on its promises — marketing claims closely match actual capabilities.
Market Position
ElevenLabs at #35 outranks Nex at #38 among 2,800+ AI companies. Just 3 ranks apart — a single product launch could flip this ranking.
Momentum Trend
Both companies show stable or declining momentum, suggesting a period of consolidation rather than rapid expansion.
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Why Compare ElevenLabs vs Nex?
Neck-and-Neck Battle
Just 3 ranks apart (#35 vs #38), this is one of the closest matchups in AI. Every product launch, research paper, and community sentiment shift could tip the balance.
Who Compares These Companies
Tech Decision Makers
Evaluating which platform offers better ROI and developer experience for enterprise adoption.
"Choose ElevenLabs for proven scale, or Nex 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."
Making Your Decision
Consider ElevenLabs if you value:
- • Proven market leadership (#35)
- • Higher development activity
Consider Nex if you value:
- • Stronger community sentiment
- • 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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