Python (ML Underwriting)Rare
Used by 1 of 3.440 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 3.440 companies in the dataset. Rare items first — those are the more interesting choices.
RareUncommonCommonMainstream
SwiftRare
Used by 26 of 3.440 companies (0.8%)
KotlinRare
Used by 58 of 3.440 companies (1.7%)
Node.jsUncommon
Used by 346 of 3.440 companies (10.1%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
CloudCommon
Used by 565 of 3.440 companies (16.4%)
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
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Bling5 shared techsBerlinFinTech / Family Banking / KinderCard / Financial LiteracySwiftKotlinTypeScriptNode.js
- Meet54 shared techsBerlinSocial / Community App / MediaSwiftKotlinTypeScriptCloud
- Urban Sports Club4 shared techsBerlinfitness / saasReactNode.jsKotlinSwift
- Cloover3 shared techsBerlinclimatetech / embedded-finance / energyTypeScriptNode.jsReactPayment-Layer
- Clue3 shared techsBerlinFemTech / Digital Health / Period & Fertility TrackingSwiftKotlinPythonML
- DasLab3 shared techsBerlinHealthTech / At-Home-Diagnostics / Lab-Testing-PlatformTypeScriptReactNode.jsMobile
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
- UnzerHeidelbergfintech/paymentsJavaKubernetesReactPayment APIs
- 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
Working with a similar stack?
We help companies like this build data-driven platforms — from AI research to production deploy.
Reuse & citation
How to cite this dataset
TechPuls is published under CC BY 4.0 — free to use, including commercially, as long as the source is credited. Here is a ready-made line for that.
Citation
Techlogia (2026). TechPuls Germany — Dataset of the German tech landscape. 3,440 companies in 245 cities. Licensed under CC BY 4.0. Available at https://techlogia.de/en/techpuls
BibTeX
@misc{techpuls,
author = {Techlogia},
title = {TechPuls Germany — Dataset of the German tech landscape},
year = {2026},
howpublished = {Online-Datensatz},
note = {CC BY 4.0},
url = {https://techlogia.de/en/techpuls}
}- Data as of
- Machine-readable access
- The same data is available as JSON via the open API — no key, no registration: /api/techpuls/cities
- Licence terms:
- CC BY 4.0