Benefit from free prototyping samples and receive personalized technical consultations from Infineon Technologies engineers.
Access to the global VC network
Gain access to the pipeline of the VCs eager to invest in hardware startups at your stage.
Expand your network
Infineon Technologies will become your customer, supplier, and partner. Engage directly with key Infineon and Bridgio decision makers, accessing global sales and marketing channels.
Demo Day showcase in Austria
Present your results at the Demo Day of the program on October 2nd. Network with key decision-makers from Infineon Technologies and invited VCs.
Win a spot at Infineon Munich's startup night!
Showcase your product on a global stage.
One-year innovation program
For the crème de la crème, the journey continues! Gain access to a joint one-year innovation program of Bridgio and Infineon Technologies to keep growing and fundraising.
Why should you apply?
Solo participants:
Participants profile:
1. Entrepreneurs with innovative product ideas within the specified industries
2. Hardware/firmware engineers proficient in executing the technical aspects of the startup
3. Firmware/software engineers adept at integrating software solutions within hardware frameworks
Startup teams:
1. Early-stage hardware startup teams
Registration is closed
Registration is closed
2. Early-stage software startup teams ready to incorporate pre-existing hardware solutions into their products
Including following stages: • Ideation • Prototype development • MVP development
engineers and entrepreneurs
hardware
software
Requirements:
Apply as a solo participant to form a team during the matchmaking activities of the program
NOTE! Only teams will proceed further
Apply as a startup, noting that the final product must contain the Infineon Technologies provided to all participants
Willingness to dedicate proper time to educational activities of the program
2. Pre-selection process
For startups
For solo participants
Meetings and Q&A sessions with industrial experts *online
Matchmaking process
Matchmaking process
June 25 Participant showcase event: engineers listen to the ideas pitch from entrepreneurs, take notes, and select your TOP 3
June 27 Matchmaking: engineers meet with their TOP 3 chosen entrepreneurs, delve deeper into their ideas, and form teams
June 28 Catch-up meeting with formed teams
*obligatory
*if there is a need to complete the team with a lacking engineer/ enterpreneur)
13 June With Bridgio and Infineon Technologies teams Special guest:
Alan Clayton from HAX
3. Selection process
Participating teams, that were formed during matchmaking as well as applied startups present themselves to the Infineon Technologies and Bridgio teams on July 5
4. Execution
July — September Receive the hardware from Infineon Technologies • Get technical consulting from Infineon Technologies (FROM technical-specification TO the ready-made product) • Get business consulting from Bridgio (FROM value proposition TO pitching in front of the invited VCs) • Develop your product • Validate your product idea on the market
5. Results
October 1 DEMO DAY in AUSTRIA (Villach)
The winner is invited to pitch at the startup night at Infineon Technologies Munich
6. What's next?
The best teams get into the 1 year innovation program of Infineon Technologies and Bridgio
Seasoned entrepreneur and technology leader with an impressive track record spanning over 30 years. Holding an MSc in Embedded Systems and an MBA, Zoran combines deep technical knowledge with strategic business insight.
is a hardware platform focused on Edge AI. It enables customers to evaluate Infineon's Machine Learning platform IMAGIMOB Studio, ready-to-deploy ML models, and other software products.
Meet the KIT
Easy to use & lowcost
Evaluation board with efficient form factor for easy prototyping (35mm*45mm)
Easy creation of ML models
Sensor fusion-, ML-, acoustic-, time series- and radar models
Online orders for the kit will begin in July. For more details: www.infineon.com/aikit.
The kit includes a microcontroller, various sensors (microphone, radar, motion, acceleration), and WiFi/Bluetooth LE connectivity, all within a compact 3.5 x 4.5 cm size.
The kit comes with integration to ModusToolbox and Imagimob Studio. In addition to the development capability of own EdgeAI solutions, it provides application code exaples as well as number of production ready ML models.
Autonomous driving systems: Use of radar and motion sensors to ensure more accurate and safer autonomous driving.
Collision prevention systems: Advanced machine learning algorithms for analyzing data from radars and motion sensors to prevent collisions on the road.
Fleet Management Optimization: Using sensors and machine learning algorithms for optimizing fleet management. This includes monitoring the condition of vehicles, optimizing routes and schedules in real time, and providing data on vehicle operations to enhance fleet utilization.
Battery management using machine learning to optimize charging and discharging, which can improve efficiency and extend battery life.
Energy efficiency through smart sensors and machine learning algorithms to optimize energy consumption in devices and systems.
Fast EV charging using algorithms capable of adapting to different charging conditions and battery states.
Machine learning models for sound recognition (such as sirens or machine noise) that can improve safety and efficiency in production.
Pressure sensors and 6-axis motion sensors for more accurate control and management of automated systems.
Predictive Maintenance Robot: A robotic solution that navigates through industrial facilities using radar and 6-axis motion sensors to monitor machinery and structural health (analyze vibration, temperature, and acoustic data in real-time to predict equipment failures before they occur).
Inventory Management Drone: A drone equipped with radar and pressure sensors flies over warehouse racks to monitor stock levels
Sensors for monitoring vital signs such as heart rate or breathing, using machine learning algorithms to predict and alert health issues.
Continuous health monitoring applications using acoustic sensors to detect coughing, sneezing, or other health-related sounds.
Wearable devices with integrated sensors for tracking activity and health status of users with the ability to learn and improve models over time.