Agiliway

Agiliway is a custom software development and IT consulting company legally operating under the name Agiliway. The company is headquartered in the United States with its stated headquarters in Austin, Texas, and maintains development centers in Poland (Krakow) and Ukraine (Lviv, Chernivtsi, Ivano-Frankivsk). The organisation reports a team size of over 200 people and a project history that includes more than 160 completed engagements. Client relationships are reported primarily with organisations in the United States and Europe.

Services and Capabilities

• Custom software development: Design and delivery of web and backend systems, bespoke applications, and software components.
• Artificial intelligence and machine learning: Development of models and AI-driven features integrated into business applications.
• Cloud engineering: Cloud-native application development, migrations, and deployment on cloud platforms.
• Data analytics and integration: Data platform development, analytics pipelines, and integration of disparate data sources.
• DevOps and automation: CI/CD pipelines, infrastructure automation, and operational tooling to support software delivery.
• IT consulting and delivery teams: Technical advisory, architecture definition, and provision of dedicated development teams.

Industry Focus

• Healthcare: Development of software solutions and systems tailored to healthcare workflows and data processing requirements.
• Financial technology (fintech): Custom applications and integrations relevant to financial services and payment systems.
• Agritech: Software and data solutions applied to agriculture technology use cases.
• General business solutions: Cross-industry projects for organisations in the US and Europe involving custom applications, integrations, and data analytics.

Technology and Delivery Approach

• Integration and data platforms: Projects frequently involve integrating multiple systems and building data platforms to consolidate and analyse information.
• Automation and DevOps: Emphasis on CI/CD, deployment automation, and operational support to maintain and scale applications.
• AI and analytics: Incorporation of machine learning models and analytics capabilities into business applications.
• Delivery model: Use of dedicated development teams and distributed delivery across development centres; engagement types include custom builds and ongoing engineering support.
• Development practices: Technical consulting, architecture definition, and hands-on software engineering to produce deployable systems and application components.