Research Projects

How the GRiSP ecosystem tackles real-world edge challenges

From secure supply chains to 5G robotics and battery-free sensors, our hardware and orchestration platform power collaborative research across Europe. Explore each project to see the results and our role.

RESCALE project logo: EU-funded research initiative for secure supply chain automation and IoT security with cryptographic proof of trust

2023 - 2026

Revolutionized Enhanced Supply Chain Automation with Limited Threats Exposure

View RESCALE project
TARGET-X project logo: EU-funded 5G network research and cross-industry trial platform for ultra-low-latency networking

2023 - 2026

Trial Platform for 5G Evolution Cross-Industry on Large Scale

View TARGET-X project
EH-IoT project logo: Energy harvesting IoT research for battery-free industrial sensors and condition monitoring

2024 (core) - 2025 (refinement)

EH-IoT - Energy Harvesting Enabled Smart Power Supply for Condition Monitoring

View EH-IoT project
Teraflow project logo: EU-funded research for secure SDN controllers and beyond-5G transport networks

2021 - 2023

Secured autonomic traffic management for a Tera of SDN flows

View Teraflow project
StairwAI project logo: EU-funded AI accessibility research for low-tech user engagement and AI-on-demand platform

2021 - 2023

Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI

View StairwAI project
Piccolo project logo: EU-funded research for programmable in-network computing and latency-critical industrial IoT services

2020 - 2022

In-network compute for 5G services

View Piccolo project
LightKone project logo: EU-funded research for lightweight edge computing and distributed network computation

2017 - 2019

Lightweight Computation for Networks at the Edge

View LightKone project

Let's Build the Next Edge Project

Peer Stritzinger GmbH partners with coordinators, industry teams and research groups on Horizon calls and other innovation programs. Tap the GRiSP ecosystem to deliver secure, real-time, ultra-low-power edge solutions.

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