Bioinformatik]Rare
Used by 6 of 3.440 companies (0.2%)
scaleupVerified
Hummingbird Diagnostics
- Location
- Heidelberg· Baden-Württemberg
- Industry
- biotech / liquid-biopsy / rna-dx
- Founded
- 2017
- Employees
- 11-50
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
[PythonRare
Used by 83 of 3.440 companies (2.4%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Aplusia2 shared techsBerlinbiotech / data-infrastructure / ai-for-pharma[PythonMLCloudPostgreSQL]
- CometHire2 shared techsBerlinHRTech / AI / Recruitment[PythonMLNLP für BewerbungsanalyseTypeScript
- eversyn2 shared techsMagdeburgbiotech / glycan-production / cell-free-enzymatics[PythonLab-ITBioinformatik]
- forward earth2 shared techsBerlinclimatetech/saas[PythonAIMLSaaS
- NutriSync2 shared techsMünchenHealthTech / Nutrition / AI / Wearables[PythonMLAI-PipelineWearable-APIs (Apple Health
- Solvemate2 shared techsBerlinsaas / ai (Customer Service Automation)[PythonNode.jsReactNLP
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
- GetsafeHeidelbergInsurTech / Digital Insurance / App-basedSwiftKotlinTypeScriptNode.js
- Exciva GmbHHeidelbergbiopharma / neuropsychiatrie / small-molecules[proprietäre NMDA-Rezeptor-Modulatorenmedizinische ChemieADMET-Modellingcomputergestütztes Drug-Design
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