Cognee vs Skild AI

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

Skild AI leads in AI visibility (85 vs 36)
Cognee logo

Cognee

EmergingArtificial Intelligence

Agent Memory Systems (Knowledge Graph)

Raised €7.5M seed (Feb 2026) led by Pebblebed with OpenAI and FAIR founders as backers. Open-source knowledge graph + vector memory for AI agents. Claude SDK integration. Prevents hallucinations via persistent structured memory.

AI VisibilityBeta
Overall Score
D36
Category Rank
#1 of 1
AI Consensus
56%
Trend
up
Per Platform
ChatGPT
27
Perplexity
35
Gemini
45

About

Cognee is an open-source knowledge graph and vector memory engine designed specifically for AI agents — providing persistent, structured memory that prevents hallucinations by grounding agent responses in verified organizational knowledge rather than parametric model weights. The company raised €7.5 million ($8.2 million) in seed financing in February 2026, led by Pebblebed and backed by founders from OpenAI and Facebook AI Research (FAIR). Cognee has integrated with the Claude SDK, making it directly accessible to teams building on Anthropic's models.

Full profile
Skild AI logo

Skild AI

LeaderArtificial Intelligence

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

36
Overall Score
85
#1
Category Rank
#1
56
AI Consensus
61
up
Trend
up
27
ChatGPT
94
35
Perplexity
82
45
Gemini
79
28
Claude
78
32
Grok
82

Key Details

Category
Agent Memory Systems (Knowledge Graph)
Robotics AI
Tier
Emerging
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Cognee
Agent Memory Systems (Knowledge Graph)
Only Skild AI
Robotics AI

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