Company comparison
Thirty Spokes vs Fireworks AI
Radar profile, momentum bars, and stack placement side by side.
Thirty Spokes
Not scored
momentum
Fireworks AI
Not scored
momentum
Thirty Spokes capital
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Fireworks AI capital
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No radar series.
Momentum head-to-head
Attribute tape
| Field | Thirty Spokes | Fireworks AI |
|---|---|---|
| Category | Model optimization and deployment | Model optimization and deployment |
| Stack | Layer 5 | Layer 5 |
| HQ | — | Redwood City, CA, United States |
| Founded | — | 2022 |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Thirty Spokes is a decentralized AI model router built on Bittensor (Subnet 99) that routes each request to the best-fit frontier model — such as OpenAI, Anthropic, Google, DeepSeek, or Qwen — through a single permissionless gateway. It runs no inference or foundation model of its own; instead, miners compete to build and run the routing agent with hardware-attested proofs of routing quality. | Fireworks AI is a high-performance inference and fine-tuning platform for open-weight and custom LLMs, enabling developers and enterprises to deploy generative AI in production at low latency and cost. It focuses on model serving and customization rather than training foundation models from scratch. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Thirty Spokes is a decentralized AI model router built on Bittensor (Subnet 99) that routes each request to the best-fit frontier model — such as OpenAI, Anthropic, Google, DeepSeek, or Qwen — through a single permissionless gateway. It runs no inference or foundation model of its own; instead, miners compete to build and run the routing agent with hardware-attested proofs of routing quality. | Fireworks AI is a high-performance inference and fine-tuning platform for open-weight and custom LLMs, enabling developers and enterprises to deploy generative AI in production at low latency and cost. It focuses on model serving and customization rather than training foundation models from scratch. |
