We Deliver Complete Software Stack

Bitstar has core competency in delivering software stack that can run on Cloud, host machine or resource constrained embedded systems. Our team has expertise to deliver any software component from web app to software for real-time systems. We can deliver software using latest technologies like docker container so that it runs on wide array of platforms. Our experts can provide solutions based on wide range of back-end and front-end technologies. We also deliver system software, drivers, software tools, compilers and utilities. Our ability to deliver complete software stacks positions us uniquely to integrate and deliver quality solutions keeping usability and performance as key metric.

Here is some of our capabilities with team capable of learning and adopting any evolving technology

Web app development with Angular, React, Django, NodeJs, Flask, Ruby on Rails and many other technologies

Cloud hosting and development with Google Cloud, AWS and other service provider APIs

Development of compilers and debug tools targeting custom hardware for AI/ML, networking and many other application specific processors

Embedded software development with RTOS, bare-metal processor cores and/or heterogeneous systems with FPGA and cores like Arm processor

Developing drivers for interfaces like PCIe, SPI, I2C, UART, Ethernet

Intelligence at Every Step

At Bitstar we understand that adding intelligence to products is an art as much as it is science. We take care of every steps including data collection, data augmentation and processing, labelling data, creating models, training models, deploying models on cloud or on edge devices. We believe in building a complete pipeline so that system learns with new data and improves on a regular basis.

We have developed a framework that enables us to deliver AI/ML solutions to solve wide array of problems. Our team has experience in creating and training models for video/image processing, NLP, system performance monitoring, scheduling network traffics, predictive maintenance and logistic handling. We specialize in deploying models with cloud and edge devices.

Our AI/ML expertise combined with expertise in many technology like security, industrial automation, communication and automotive systems provide cost effective solutions using latest technology and open source components.

Our team has in-depth experience with training neural networks with frameworks like Tensorflow, Keras, Pytorch, Python, OpenCV and deployment of models for inference on cloud or on edge devices. We tune the models to optimize and deploy it on resource constrained devices. We can also enable custom training flow using hybrid GPU and cloud infrastructures.