Safety Data PlatformRare
Used by 1 of 3.440 companies (0.0%)
startup
Sentics GmbH
- Location
- Braunschweig· Niedersachsen
- Industry
- ai / industrial safety
- Founded
- 2023
- Employees
- 1-10
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
Real-time AnalyticsRare
Used by 2 of 3.440 companies (0.1%)
IoTUncommon
Used by 241 of 3.440 companies (7.0%)
MLUncommon
Used by 447 of 3.440 companies (13.0%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
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
- Ailoys GmbH3 shared techsBerlinai / industry 4.0AIMLReal-time SensingIoT
- aiomatic (ai-omatic solutions GmbH)3 shared techsHamburgai / industrialtechPythonAIMLPredictive Maintenance
- Alcemy3 shared techsBerlincleantech / aiPythonAIMLPredictive Analytics
- Aware Health3 shared techsBerlinhealthtechIoTWearablesBioSensorsMobile (Flutter)
- CleverSolutions Autonomous3 shared techsBerlinmobility/autonomousPythonCloudFleet ManagementAI
- Datagon3 shared techsMünchenai / manufacturing / qualityPythonReinforcement LearningAIML
Same location
Local tech ecosystem
- QUDORA TechnologiesBraunschweigdeeptechTrapped-Ion Quantum ProcessorsNFQCQCaaS Cloud
- OKAPI OrbitsBraunschweigSpaceTech / STMPythonC++Orbit Propagation
- Unbekannt (Quantum Internet Startup)Braunschweigquantum / deeptechQuantum CommunicationPhotonics
- ACKISION GmbHBraunschweigdeeptech / measurementMixed-Signal IC DesignFPGAEmbedded SystemsQuantenoptik
- Aeon Robotics GmbHBraunschweigrobotics / aiHumanoid RoboticsAI Gripping5-Finger GrippersROS
- Anori TechBraunschweigdeeptech / energy storageEmbedded SoftwareBattery Management SystemsModular Hardware
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