Custom Sensor Solution Design

Advanced sensor solutions engineering to help you observe the world around, amplify your power of senses, and avail yourself of control and unprecedented data granularity obtained from sensor-equipped devices.


From Signal Conditioning to Apps

Softeq’s team has a way with the sensor technology. We provide businesses with comprehensive development support in this field: from sensor-based product design to the engineering of an entire ecosystem that perceives signals from the environment, processes this input and offers end-user tools to visualize and analyze such sensory data. Taking advantage of our feats of engineering and innovation in the hardware field, we are ready to push forward your sensor-rich solutions from the circuit-board level.

We Build the Whole Gamut of Sensor-rich Solutions

We can help your company take advantage of the sensor technology and develop a device — the core part of your solution — leveraging the possibilities of these types of sensors:

  • Accelerometers
  • Gyroscopes
  • Humidity Sensors
  • Temperature Sensors
  • Capacitive Touch Sensors
  • IMUs
  • Microphone
  • Optical Sensors (UV, IR, etc)
  • MEMS Sensors
  • System-in-Package (SiP) Sensor Modules
  • Proximity Detectors
  • Digital Compasses
  • Electromagnetic Field Sensors
  • Liquid Level Indicators
  • Pressure Sensors
  • Imaging Sensors

Empowering Devices with Sensing Capabilities

Sensors make an intrinsic element of today’s wearables and electronics. Even a tiny wireless sensor-based device attached to an old piece of industrial equipment that, nonetheless, has years of very decent operation ahead can give an incredible amount of data about machinery performance, its calibration and maintenance opportunities. The solution has a huge money-saving potential and may become a noticeable productivity booster.

Sensor Data Acquisition for Capturing Analog Signals

Although, these days the majority of sensor ICs come pre-calibrated for a digital output, to get more flexibility in optimizing incoming signals, perform more complex measurements and manipulate high-speed sensor data, it may be reasonable to give preference to an analog sensor. It is especially true for projects in the industrial automation, avionics, and automotive fields. Armed with about two decades of experience in electronics engineering, we can help you put together and configure sensor components that manipulate analog signals, interfacing sensors with microprocessors and MCUs, and enabling further data processing in a digital form. This includes:


Calibration of sensor signals to reduce noise, reinforce signal strength, and eliminate signal perturbations (amplification, filtering, and isolation) before they can be manipulated further.


Transforming a previously conditioned analog signal input into a digital output, which then goes to the logic part of a device for computation.


Serial or parallel communication buses (UART, SPI, I2C) to connect ADCs to microprocessors, MCUs, DSPs, where calculations with converted digital signals are performed.

Custom DAQ Systems, Consumer Electronics & Industrial IoT

Softeq has already put massive electronics engineering effort into a wealth of projects related to the creation of sensor-enabled devices. We’ve honed our skills during field R&D activities. Make use of our extensive hardware design expertise to take your innovation plans from an idea through device prototypes ready for mass production to a hi-end working solution that is designed to listen to multiple real-world signals.

Our team will handle the full cycle from conceptualization and requirements gathering to a fully verified pre-production prototype, its optimization for mass production and comprehensive assistance with setting up the manufacturing process. Softeq’s engineers will carefully pick up device components, and elegantly arrange all required modules on a printed circuit board of your envisioned solution, allowing for optimized PCB real estate, operation efficiency, and cost effectiveness:

  • Sensors I/O
  • Peripheral ports
  • HMI/UI
  • Embedded processing
  • Storage
  • Power management
  • Wireless RF (Wi-Fi, BLE, ZigBee, etc)
  • Actuators I/O

Embedded Processing of Sensor Data & Algorithm Development

After raw signals are conditioned and converted into a digital form, they undergo further processing to deliver obtained sensor measurements to user devices, store them locally or in the cloud, or convert certain values into output control signals. Depending on the complexity of your solution and your goals, Softeq will lend you our professional assistance at the embedded processing level.



    For gesture recognition, augmented reality, robotics, and drone systems, when outputs from multiple sensors are merged to perform sophisticated motion tracking and other complex tasks.




    For performing calculations in standard-type embedded systems with a dedicated function or for processing sensor signals in embedded applications with no performance-critical role.




    For more complex — usually video, audio and image processing — compute-intensive real-time operations (using dedicated DSPs, DSP-optimized instruction sets on general-purpose processors, or FPGAs with DSP functions).


  • GPU-accelerated Computing for Complex Sensing


    Relying on world-class technologies for GPU-accelerated computing (CUDA, OpenCL, Jetson TX1, etc), when dealing with a large amount of data (computer vision, on-the-fly sensing in UAV systems, advanced solutions employing parallel computing).

A to Z Sensor Development Services for IoT Era

With dedicated centers of tech excellence, covering hardware, embedded software, web and mobile development competences, Softeq is well-versed to technically underpin your sensor-focused undertakings by designing and developing comprehensive Internet of Things solutions that come as an all-inclusive package. We deliver the solutions that help our global clients become data savvier, do more with less, switch to automated workflows, and reach the areas of their business previously unreachable by a man by taking advantage of automatic control possibilities and the remote control function.


Device hardware, firmware for sensor signal processing, drivers exposing APIs to interface with PCs, mobile phones and other consumer devices.


Client apps leveraging real-time sensor signals, getting personalized stats, notifications and more, based on a sensory input.


Cloud storage and back-end applications, enabling analytics and reporting features, generating universal usage stats, etc.