Company comparison
Codeium / Windsurf vs Anyscale
Radar profile, momentum bars, and stack placement side by side.
Codeium / Windsurf
Not scored
momentum
Anyscale
72
momentum
Codeium / Windsurf capital
—
Anyscale capital
—
Company profile radar
Momentum head-to-head
- Anyscale72
Attribute tape
| Field | Codeium / Windsurf | Anyscale |
|---|---|---|
| Category | Developer and agent infrastructure | Developer and agent infrastructure |
| Stack | Layer 6 | Layer 6 |
| HQ | Mountain View, CA, United States | San Francisco, CA, United States |
| Founded | 2021 | 2019 |
| Status | Acquired | Operating |
| Funding | — | — |
| Momentum | — | 72 |
| Summary | Codeium (later rebranded Windsurf) built an AI coding assistant and AI-native code editor that provides autocomplete, chat, and multi-file agent-style editing workflows for software developers. The company was acquired by Cognition AI in July 2025 after Google separately hired its founding team and licensed certain technology. | Anyscale is a managed AI compute platform built on the open-source Ray framework, enabling engineering teams to build, scale, and run distributed AI workloads — including data processing, training, fine-tuning, and inference — across CPUs, GPUs, and multi-cloud environments without managing low-level cluster infrastructure. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Codeium (later rebranded Windsurf) built an AI coding assistant and AI-native code editor that provides autocomplete, chat, and multi-file agent-style editing workflows for software developers. The company was acquired by Cognition AI in July 2025 after Google separately hired its founding team and licensed certain technology. | Anyscale is a managed AI compute platform built on the open-source Ray framework, enabling engineering teams to build, scale, and run distributed AI workloads — including data processing, training, fine-tuning, and inference — across CPUs, GPUs, and multi-cloud environments without managing low-level cluster infrastructure. |