Small Language ModelsRare
Used by 1 of 3.267 companies (0.0%)
Tech-Stack
Tech stack in context
Each entry is benchmarked against all 3.267 companies in the dataset. Rare items first — those are the more interesting choices.
RareUncommonCommonMainstream
PyTorchRare
Used by 114 of 3.267 companies (3.5%)
KubernetesRare
Used by 148 of 3.267 companies (4.5%)
NLPUncommon
Used by 167 of 3.267 companies (5.1%)
PythonCommon
Used by 1.239 of 3.267 companies (37.9%)
In context
Raw numbers say little — here's how Distil Labs compares to its industry and city.
Industry peers
49
49 companies in the same industry
14 of those in Berlin
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- i2x4 shared techsBerlinhealthtech/aiPythonPyTorchASRNLP
- aifora3 shared techsDüsseldorfsaas / ai (AI-Driven Predictive Pricing / Retail Automation)PythonPyTorchKubernetesSnowflake
- Aignostics3 shared techsBerlinhealthtech / ai / pathology / digital-histologyPythonPyTorchWSI-PipelinesDICOM
- AI Superior3 shared techsDarmstadtai / consultingPythonTensorFlowPyTorchComputer Vision
- Aleph Alpha3 shared techsFrankfurt am MainAI / LLM / GovTechPythonPyTorchCUDAKubernetes
- Apheris3 shared techsBerlinai / federated-learning / privacy / pharmaPythonPyTorchFederated-Learning-SDKKubernetes
Same location
Local tech ecosystem
Consulting on this stack
Working with a similar stack?
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