Voyage AI vs Skild AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Skild AI leads in AI visibility (85 vs 23)
Voyage AI logo

Voyage AI

EmergingAI Infra

Embeddings

Voyage AI's embedding and reranking models consistently top RAG retrieval benchmarks and are the default embeddings for Anthropic's documentation and LangChain partners, with $20M raised.

AI VisibilityBeta
Overall Score
D23
Category Rank
#1 of 1
AI Consensus
73%
Trend
up
Per Platform
ChatGPT
17
Perplexity
14
Gemini
18

About

Voyage AI specializes in state-of-the-art embedding and reranking models optimized for retrieval-augmented generation (RAG) applications. Its voyage-3 and voyage-code-3 models rank at the top of MTEB benchmarks for retrieval tasks, with domain-specific variants for legal, finance, and code search delivering significant accuracy improvements over general-purpose embeddings. The company's reranking models provide an additional quality layer that reorders retrieved documents by relevance before LLM generation.

Full profile
Skild AI logo

Skild AI

LeaderAI Infrastructure & Models

Robotics AI

Universal robot brain startup raised $1.4B Series C at $14B valuation in Jan 2026 led by SoftBank with Nvidia and Bezos; $30M 2025 revenue; deployed at Foxconn

AI VisibilityBeta
Overall Score
A85
Category Rank
#1 of 1
AI Consensus
61%
Trend
up
Per Platform
ChatGPT
94
Perplexity
82
Gemini
79

About

Skild AI is building a universal robot brain — a foundation model for physical intelligence that can power a broad range of robot types without requiring task-specific training for each deployment. Founded to solve the fragmentation problem in robotics AI, where every robot type and task requires separate model development, Skild's approach trains a single generalist model on diverse robotic data and fine-tunes it rapidly for specific deployments. The company was founded by robotics AI researchers who identified the model reuse gap as the primary barrier to scalable robot deployment.\n\nSkild's generalist robot model has been deployed across more than 30 distinct robot types — spanning manipulation arms, mobile platforms, and humanoid form factors — demonstrating the cross-hardware generalization that most robot AI systems lack. The platform targets robotics manufacturers, logistics operators, and industrial automation companies that need AI-capable robots but lack the internal ML infrastructure to develop foundation models themselves. By offering a model-as-a-service layer, Skild enables robot OEMs and systems integrators to add AI capabilities without building the underlying research infrastructure.\n\nSkild AI raised a $1.4 billion Series C in January 2026 at a $14 billion valuation, led by SoftBank with co-investment from NVIDIA and Jeff Bezos. The round was one of the largest in robotics AI history and reflects institutional conviction in the physical AI market's scale. With $30 million in 2025 revenue and accelerating enterprise deployments, Skild is building the financial foundation to match its valuation. The SoftBank-NVIDIA investor combination positions Skild at the center of the global robotics deployment wave.

Full profile

AI Visibility Head-to-Head

23
Overall Score
85
#1
Category Rank
#1
73
AI Consensus
61
up
Trend
up
17
ChatGPT
94
14
Perplexity
82
18
Gemini
79
14
Claude
78
25
Grok
82

Key Details

Category
Embeddings
Robotics AI
Tier
Emerging
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Voyage AI
Embeddings
Only Skild AI
Robotics AI

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