Alternatives to Hanlin
The top AI Infrastructure companies similar to Hanlin, ranked by relevance (named competitors first, then how closely their sectors overlap) and our 0-100 AI-readiness score. Each links to a full profile with funding and team.
- Website APApplied Computes50AI InfrastructureSan Francisco, United States$178.3M
AI infrastructure company focused on optimizing AI model deployment and inference.
- Website
Premya9AI InfrastructurePrivate AI deployed on your own infrastructure for lower inference costs and complete data control.
- Website
Mamba (AI Architecture)24Artificial IntelligenceAn open-source AI architecture focused on inference efficiency and speed using State Space Models.
- Website
IndexCache23Artificial IntelligenceBeijing, ChinaOptimizing LLM inference for faster and cheaper long-context processing.
- KVKV Cache Offloading (SW)5AI Foundation & Compute
Software solutions for offloading KV cache to enhance LLM inference performance and scalability.
- NVNVFP4 KV Cache5AI Foundation & Compute
A novel 4-bit floating-point quantization format for KV cache optimization in large language models.
| Company | Sector | HQ | Funding | Score | Website |
|---|---|---|---|---|---|
| APApplied ComputesAI infrastructure company focused on optimizing AI model deployment and inference. | AI Infrastructure | San Francisco, United States | $178.3M | 50 | Website |
| PremyaPrivate AI deployed on your own infrastructure for lower inference costs and complete data control. | AI Infrastructure | — | — | 9 | Website |
| Mamba (AI Architecture)An open-source AI architecture focused on inference efficiency and speed using State Space Models. | Artificial Intelligence | — | — | 24 | Website |
| IndexCacheOptimizing LLM inference for faster and cheaper long-context processing. | Artificial Intelligence | Beijing, China | — | 23 | Website |
| KVKV Cache Offloading (SW)Software solutions for offloading KV cache to enhance LLM inference performance and scalability. | AI Foundation & Compute | — | — | 5 | |
| NVNVFP4 KV CacheA novel 4-bit floating-point quantization format for KV cache optimization in large language models. | AI Foundation & Compute | — | — | 5 |
Compare Hanlin head to head
Side by side on what each one does, what it costs, and what real users report.