The leading consulting company within FPGA and ASIC design in the Nordic region. We specialize in high performance systems, creating optimized hardware and software designs where FPGAs in many cases play a key role to achieve efficient solutions.

Synective Labs is the leading provider of FPGA-related services in the Nordic region. We specialize in signal- and image processing, computational acceleration and embedded system design based primarily on FPGAs and GPUs. We provide solutions and design services to customers within the telecom, med tech, finance, defense and automotive markets, both locally and globally.

Synective Labs have a strong network of technology partners such as Intel, Xilinx and Nvidia. We participate in multiple EU research and development projects. Synective has a very experienced team dedicated to deliver top value and to make our customers successful. We have offices in Stockholm, Gothenburg and Linköping. As a Synective employee you will be sure to work on thrilling assignments with cutting edge technology.

High Performance Embedded

Synective Labs provides high performance embedded solution to a wide range of customers, with a focus on computational and data intense problems.

READ MORE

FPGA/ASIC design

Synective Labs is a leading design house and consulting company within FPGA and ASIC design in the Nordic region.

READ MORE

IP block

The Synective CAN 2.0/CAN FD IP core implements a complete CAN controller for integration into FPGAs and ASICs.

READ MORE

Image and Signal processing

Synective Labs specializes in algorithm development for image and signal processing, with many years of experience from advanced camera, radar and sensor systems.

READ MORE

Server Based Acceleration

Synective Labs work with some of the world’s leading providers of hardware for server-based acceleration, in order to reach state of the art results.

READ MORE

Machine Learning

Synective Labs is actively researching and implementing machine learning with deep neural networks designed to fit on small edge FPGAs and other low power embedded systems. 

Files