Appliscale

Appliscale is a Kraków-based digital engineering firm with 10+ years in business and 80+ specialists on staff. The company operates a remote-first model with offices in Poland (Kraków) and Ireland (Wexford). Appliscale focuses on cloud infrastructure, data engineering, and custom software development—particularly for performance-critical systems. The firm has delivered 45 projects and currently manages 31 in flight, serving clients across ad tech, gaming, legal tech, and financial services. Their public portfolio includes work that scaled systems to 4 million concurrent users, processes 400M+ daily HTTP events, and handles 300K+ requests per minute at peak.

Services and capabilities

Appliscale divides its service offerings into discrete categories. Dedicated Development Teams provide staffing for long-term projects or temporary scaling, using CI/CD tools (Jenkins, GitLab CI), cloud platforms (AWS, GCP), and containerization (Kubernetes, Docker). Data Services & Big Data Projects handle complex data pipelines using Apache Hadoop, Spark, and Kafka, with storage on AWS Redshift and GCP BigQuery. The firm works with fintech, healthcare, and IoT clients on real-time analytics and large-scale migration.

Digital Transformation services leverage microservices (Spring, Express), REST and GraphQL APIs, and cloud infrastructure. AI/ML Integration uses TensorFlow, PyTorch, AWS SageMaker, and Google AI Platform. IoT Solutions employ MQTT, Zigbee, AWS IoT, Azure IoT Hub, and Node-RED. DevOps & Automation automate CI/CD pipelines (Jenkins, GitLab CI, CircleCI) and infrastructure (Kubernetes, Docker, Terraform). Cloud Services cover AWS (EC2, Lambda, RDS), GCP, and Azure, with cost optimization and migration support. UI/UX Design uses Figma, Sketch, Adobe XD, and HMI tools. MVP Development leverages low-code platforms (Bubble.io, OutSystems) alongside Node.js and AWS. Mobile App Development builds on React Native, Swift, Kotlin, Firebase, and Backendless. Custom Software Development combines APIs, AWS infrastructure, and microservices architectures.

Notable work

Appliscale's case studies show depth in scaling and cost optimization. For a U.S. CrossFit coaching platform, the firm built an AI-powered system using OpenAI's LLMs, Antlr for domain-specific language parsing, and Monaco Editor for UX, automating freeform training plan conversion into structured data. The solution eliminated manual data entry bottlenecks.

For Harmonyze, a legal automation vendor, Appliscale deployed an AI solution with RAG (Retrieval-Augmented Generation) and LLMs for contract decomposition, compliance review, and document comparison. The client secured an enterprise contract post-launch and achieved a "10x ROI solution."

In gaming infrastructure, Appliscale reduced AWS costs by $50K/month while scaling to 100M users and 4M concurrent connections (Erlang Messaging Services), cut S3 costs by 40% and operational costs by 30% for a login application, and optimized monitoring costs by $100K/month using Datadog. For ad tech, the firm transformed data infrastructure to handle 400M+ daily HTTP events and 1TB+ daily data volume. Gaming leaderboards handle 20 million daily queries with millisecond response times and 2.3 million daily users. A Real-Time Bidding platform (Yahoo) processes millions of daily transactions. A custom data lake reduced costs by 98% and restored client data control.

How they work

Appliscale employs a remote-first model with dedicated teams, temporary scaling, and project-based engagements. The firm lists no public pricing. Team composition appears flexible—job postings show senior engineers across Node.js, React, Java, C#, iOS, Android, data engineering, and product management, with some roles targeting PST overlap for North American client communication. The company actively hires, suggesting capacity for growth-stage projects.

Team and credentials

Appliscale has 80+ specialists across Kraków and Wexford. No founding team names, certifications (ISO 27001, SOC 2), or partner badges (AWS, Google Cloud, Microsoft) are mentioned on the public site. The firm does not list Clutch, G2, or third-party review ratings.

Services and capabilities

Appliscale divides its service offerings into discrete categories. Dedicated Development Teams provide staffing for long-term projects or temporary scaling, using CI/CD tools (Jenkins, GitLab CI), cloud platforms (AWS, GCP), and containerization (Kubernetes, Docker). Data Services & Big Data Projects handle complex data pipelines using Apache Hadoop, Spark, and Kafka, with storage on AWS Redshift and GCP BigQuery. The firm works with fintech, healthcare, and IoT clients on real-time analytics and large-scale migration.

Digital Transformation services leverage microservices (Spring, Express), REST and GraphQL APIs, and cloud infrastructure. AI/ML Integration uses TensorFlow, PyTorch, AWS SageMaker, and Google AI Platform. IoT Solutions employ MQTT, Zigbee, AWS IoT, Azure IoT Hub, and Node-RED. DevOps & Automation automate CI/CD pipelines (Jenkins, GitLab CI, CircleCI) and infrastructure (Kubernetes, Docker, Terraform). Cloud Services cover AWS (EC2, Lambda, RDS), GCP, and Azure, with cost optimization and migration support. UI/UX Design uses Figma, Sketch, Adobe XD, and HMI tools. MVP Development leverages low-code platforms (Bubble.io, OutSystems) alongside Node.js and AWS. Mobile App Development builds on React Native, Swift, Kotlin, Firebase, and Backendless. Custom Software Development combines APIs, AWS infrastructure, and microservices architectures.