Team augmentation or dedicated teams
Remote working is reshaping the entire notion of work as we know it, and it is here to stay. With our services you can derive maximum benefit from this trend by growing your team and expanding your software development capabilities. At the same time you can become more productive and agile, save costs and reduce risks. Access to additional talent pools and flexible scaling are critical for businesses that want to innovate and succeed in a highly competitive environment. Even if you have a clear project roadmap and a strong core team, extra development capabilities will help you achieve your goals faster and more efficiently.
Augmenting your software development team allows you to add resources to your teams based on the additional skills required to support your company’s initiatives. Balancing the workload can help you make substantial savings and boost productivity.
Having a dedicated software development team allows you to execute entire projects using our resources. In some cases, this can also take the form of out-tasking, where specific tasks of a project might be outsourced to a sub team which is staffed and managed by us.
We guarantee our customers:
Technical expertise
Predictable and high-quality delivery
Operational agility
Strong work ethic
Trustworthy partnership
Intelligent automation
Intelligent automation
End-to-end business process automation
Artificial Intelligence and Robotic Process Automation (RPA)
Complex data AI analytics
Machine Learning & AI
Machine Learning & AI
Neural Networks and Deep Learning
Machine Learning Algorithms
Real-time visual data processing
Data analytics
Data analytics
Big Data analytics
Real-time video analytics
Predictive analytics
Cloud Solutions
Cloud Solutions
Cloud applications development
Microservices Architecture
Cloud solutions for Big Data
Process automation
Integration of third party APIs into the customer platform
Process automation
A powerful process automation platform provider was trying to enlarge their development team. Peoly provided them with a managed nearshore development team with experience of integration, RESTful API and JavaScript as well as knowledge of front-end development. After an evaluation period, we were able to qualify as an exclusive partner for the project. The assignment was to integrate 3rd party APIs into the customer platform. Within a couple of months we had expanded a dedicated team of 5 to 15 people with a specific developer profile tailored to the customer needs. Currently, the customer makes use of a wide scope of our services and enjoys access to a team extended on on-demand basis.
AI video analytics for retail
Real-time object detection, tracking and behavioral analysis
AI video analytics for retail
A customer with a long term experience in AI/ML was looking for highly qualified Machine Learning developers experienced in real-time object detection and tracking, as well as behavioral analysis of objects in video feeds from a retail environment. We created an expert team comprising an ML specialist with experience of real-time object detection pipeline (detection model, transfer learning, tracking, behavioral analysis), two senior developers with experience of real-time object detection pipeline and Nvidia DeepStream SDK principles, and one annotator with experience of preparing ground truth data for ML models. Our team has substantially helped improve current customer solution in terms of performance, reliability and speed of processing.
Traffic video analytics for SmartCity
Real-time analytics, pattern recognition and anomaly detection
Traffic video analytics for SmartCity
A renowned European system integrator was looking for a software solution for its SmartCity project with special requirements for real-time traffic video data analytics. We were able to customize our software modules and meet all the specific requirements within a short time. We used our extensive expertise to provide specific and precise output traffic data for further use in the customer’s SmartCity platform.
Web platform visual search
Neural network model, microservices and platform integration
Web platform visual search
A furniture aggregator platform was looking to extend their search services with visual search, which allows customers to find similar products just by uploading a photo they have taken or downloaded. We prepared the whole service as a separate microservice for the customer’s Kubernetes infrastructure. The team consisted of two ML experts and two Senior Developers, who completely designed and developed the whole service including the communication model with other already existing services. We worked with the latest architecture designs such as detector, feature vector extractor, approximate nearest neighbor and other services.
DNN optimization for Facial recognition
High performance inference on NVIDIA GPUs
DNN optimization for Facial recognition
A client specialising in Facial Recognition approached us with a project on optimization of Deep Neural Network (DNN) models for TensorRT to enable high performance inference on NVIDIA GPUs. One of our tasks was finding a balance between computation load and precision for DNN quantization processes. We prepared AI video analytics pipelines with features such as object detection, classification and recognition. These pipelines can be extended by additional DNN approaches (e.g., tracking) and are based on DeepStream SDK with custom GStreamer plugins built by our company.
Voice recognition mobile application
High-precision audio recognition for Android
Voice recognition mobile application
A client was looking for a development partner for an audio recognition project. We were approached to undertake the whole process of mobile application delivery, which included graphical design, development, testing, backend data collection and processing. The application (optimised for Android) utilised TensorFlow Lite proprietary model for audio recognition, which ensured high precision and low latency.
NLP Document Classifier
Analyzing thousands of documents a day, classifying and storing them in a database
NLP Document Classifier
Our in-house Natural Language Processing (NLP) solution can analyse thousands of documents a day. It determines the type of content in the documents (while respecting their privacy) and can store them in a database according to predefined content types. For example, if you had 10,000 unlabelled documents in one folder, you could use the PDF classifier to sort them into four different folders automatically, without having to open a single PDF.
Sound Analyzer for Predictive Maintenance
An app that can diagnose the problem
of a car by analyzing the underlying sounds
Sound Analyzer for Predictive Maintenance
We created an ML engine that analyzes unusual sounds emanating from cars and provides a predictive diagnosis of the issue. It is based on unique classification technology
utilizing a custom Densely Connected Convolutional Network, delivering 98% accuracy after training on extremely small data sets of only a few sound samples for each class. The entire solution operates and employs the latest ML services from the Microsoft Azure cloud.
World‘s First Diamond Selection Tool
An automated process of selecting diamonds based on visual appeal and price
World‘s First Diamond Selection Tool
Our solution analyses the visual purity and overall quality of premium diamond stones. To achieve outstanding results we employ hundreds of images for each stone and a spatio-temporal prediction model based on cutting-edge Convolutional Neural Network architectures. The product is a web app virtual assistant that outperforms most of the world’s diamond experts and helps a buyer to select the right balance of quality, visual appeal and price.
Interested in a more detailed description?
ABOUT US
We are a Prague-headquartered software company building dedicated development teams, augmenting existing development teams, and providing end-to-end software engineering services.
We were able to create local ecosystems of experienced professionals, developers and universities in both countries, which in combination with our own local recruitment company allows us to grow every year. Our team of experienced data analysts, machine learning experts and programmers is always up for a challenge and dedicated to help clients grow and prosper.
We partner with:
OUR LEADERSHIP TEAM
Petr
CEO
Jaroslav
CTO
Stepan
Head of AI
Inna
Recruitment Manager
Jakub
Business Dev. Mngr.
Artem
AI/ML Team Lead
Roman
Senior Data Scientist
Valeria
Front-End Dev. Lead
Olexii
AI/ML Team Lead
Oleksandr
Integration Team Lead
CZ
Peoly HQ Prague
Dejvicka 306/9, 160 00 Prague 6
Czech Republic – EU
+420-603-911-191
eu[at]peoly.com
USA
44 Tehama St.
San Francisco, CA 94105, USA
+1-831-313-6295
us[at]peoly.com
UA
Pyrohova 39
21018 Vinnytsia, Ukraine
+380-506-022-747
ua[at]peoly.com
UA
Heroiv UPA 73 – Building 4
79000 Lviv, Ukraine,
+380-984-492-261
ua[at]peoly.com
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