FAST & RELIABLE REAL-TIME DATA
HOW IT WORKS
We thrive in clients environments where the data is unstructured and we work with sources where it's a challenge to separate the truth from the noise. We think in microservices and containerized distributed systems, designing pipelines that weave data between automation, Machine Learning and human expertise.
We build & deploy large-scale ETL and stream processing pipelines in serverless microservice using Kubernetes, Kafka, Spark, and Cassandra. We can implement predictive analytics algorithms, and build platforms that deliver recommendation engines, fraud detection, BI tools and other data-driven insights. Further our Data Scientists team help you understand your data.
We implement robust monitoring & telemetry for processes and services you are responsible for - leveraging Splunk, Humio, Grafana, visualisation tools, and custom web-apps. We advocate for best practices in CI/CD, code review quality, and take a collaborative approach in sharing innovations to elevate the entire team.
We are a team of Data Scientists, Data and Machine Learning Engineers, Quantitative Researchers and DevOps who help with harnessing big data processes. All started with a passion for functional programming in 2012. Polystat uses abstraction, and Machine Learning to give organizations the tools they need to reduce their time to data and get to the better, faster decisions that come with it. The key lies in understanding and optimizing how data flows and making diverse data easy to manipulate. We drive enterprise data to insights already changing the world for the better.
Harness the power of big data and AI to deliver highly tailored services that exceed customer expectations while minimizing risk and protecting against fraud. We build Analytics Platform based on Apache Spark which enables you to easily build, scale, and deploy advanced analytics and Machine Learning models in minutes, resulting in reduced risk and better customer experiences. Maximize returns with AI-powered insights based on billions of market signals and data points.
We are experts in Scala and Apache Spark. Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, and Python, and an optimized engine that supports general computation graphs for data analysis. A recent survey dictated that 88% of Spark users are also utilizing Scala as their language of choice. The two are a logical choice and play nice together because Spark was written in Scala, but it also has APIs in Java, Python, and R.