[proprietäre NMDA-Rezeptor-ModulatorenRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Exciva GmbH
- Location
- Heidelberg· Baden-Württemberg
- Industry
- biopharma / neuropsychiatrie / small-molecules
- Founded
- 2018
- Employees
- 11-50
- Total funding
- €80.4 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
ADMET-ModellingRare
Used by 1 of 3.440 companies (0.0%)
klinische Studien-Datenmanagement]Rare
Used by 1 of 3.440 companies (0.0%)
computergestütztes Drug-DesignRare
Used by 2 of 3.440 companies (0.1%)
medizinische ChemieRare
Used by 3 of 3.440 companies (0.1%)
In context
Raw numbers say little — here's how Exciva GmbH compares to its industry and city.
Funding position
Top 14%
More funding than 86% of all companies with reported funding.
Industry median: €80.4 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
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
- 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