Python (ML Underwriting)Rare
Used by 1 of 3.267 companies (0.0%)
scaleupVerified
Getsafe
- Location
- Heidelberg· Baden-Württemberg
- Industry
- InsurTech / Digital Insurance / App-based
- Founded
- 2015
- Employees
- 51-200
- Total funding
- €95.0 Mio
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
SwiftRare
Used by 26 of 3.267 companies (0.8%)
KotlinRare
Used by 58 of 3.267 companies (1.8%)
Node.jsUncommon
Used by 337 of 3.267 companies (10.3%)
TypeScriptUncommon
Used by 445 of 3.267 companies (13.6%)
CloudCommon
Used by 527 of 3.267 companies (16.1%)
In context
Raw numbers say little — here's how Getsafe compares to its industry and city.
Funding position
Top 13%
More funding than 87% of all companies with reported funding.
Industry median: €95.0 Mio
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Same location
Local tech ecosystem
- Asklepios BiopharmaceuticalHeidelbergbiotech / gene-therapy / aav-vector[AAV-Vektor-EngineeringBioreaktor-Prozess-AutomatisierungGMP-Manufacturing-SystemeBioinformatik (Python
- Novaliq GmbHHeidelbergBioTech / OphthalmologieEyeSol®-Technologie (semifluorierte Alkane)Drug Deliveryklinische Studien
- EnapterHeidelbergcleantech/hydrogenPythonCC++Embedded
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- Exciva GmbHHeidelbergbiopharma / neuropsychiatrie / small-molecules[proprietäre NMDA-Rezeptor-Modulatorenmedizinische ChemieADMET-Modellingcomputergestütztes Drug-Design
- Precisis GmbHHeidelbergmedtech / neurotechnology / epilepsy / implant[Neurostimulations-Hardware (EASEE®)Embedded-Firmware (CCortex-M)Verschlüsselung (AES-256)
Consulting on this stack
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