AI Startup Tech-Spotlight 03/24
3rd edition, covering startups from cyber-security, cannabis ag-tech and 3D-software-development. Curated from Data-Scientists, AI-Experts and Business-Professionals.
Each week, we provide exclusive access to our techtrust.ai database, spotlighting and assessing the potential of emerging AI startups, across industries and locations. The analysis of our data science and AI team centers on the application of technology and the AI tech stack they employ.
Here are our next picks:
#1 Cybear-Tech
Founded: 2022
Location: Switzerland
Funding Round: Pre-Seed
Industry: Cyber-Security
AI Technology: Robotic-Process-Automation
What they are doing: Uses AI to automate critical routine processes in Cyber Security like threat intelligence gathering, incident response and network monitoring.
Tech advancement: Enhancement in executing predefined processes; reducing manual workload; minimizing human error; improved operational efficiency and accuracy.
Tech Challenges they might face: maintenance requirements; integration complexities, scalability limits.
Tech-USP Score*: 7/10
Website: https://cybear-tech.com
#2 SpexAI
Founded: 2018
Location: Germany
Funding Round: Pre-Seed
Industry: Cannabis; Ag-Tech
AI Technology: Computer Vision; Predictive-Analytics
What they are doing: Using AI to monitor and optimize the cultivation and growth of cannabis plants.
Tech advancement: improved resource efficiency; higher yields; consistent quality; real-time analysis capabilities; detailed, visual monitoring; forecasting future growth patterns and potential issues, enabling preemptive actions.
Tech Challenges they might face: high costs; complex data management; technical dependency; need for specialized expertise; integration with existing systems.
Tech-USP Score*: 9/10
Website: https://www.spexai.com
#3 Alpha3D
Founded: 2018
Location: Estonia
Funding Round: Seed
Industry: 3D-Software
AI Technology: Generative AI; Computer Vision
What they are doing: Using AI to transform text and 2D images into 3D models
Tech advancement: Automation leads to significant enhancement in speed, efficiency and creativity.
Tech Challenges they might face: ensuring accuracy and fidelity; dealing with technical and data limitations; computational resource demands; integration with existing workflows; need for user adaptation.
Tech-USP Score*: 5/10
Website: https://www.alpha3d.io
* The Techtrust.ai Tech-USP-Score considers the uniqueness of an AI techstack as well as the number of competitors within the same AI-tech/business cluster, such as NLP in Healthcare for Use Case X.