Object Computing
Object Computing is a technology consulting and software engineering firm that provides custom solutions, training, and product engineering services for enterprises adopting modern cloud, data, and Artificial Intelligence (AI) architectures.
- Custom software development and product engineering for enterprise systems
- Consulting and implementation services for cloud-native and distributed architectures
- Data engineering, analytics, and AI/ML solution development
- Open source framework development and support, including JVM-based technologies
- Technical training, enablement, and enterprise modernization services
More About Object Computing
Object Computing is a technology firm that focuses on software engineering, consulting, and training for enterprises that build and operate distributed, cloud-native, and data-intensive systems. The company works with organizations that require custom software solutions and modernization of existing portfolios, with attention to production-grade architectures, maintainability, and long-term operability in enterprise environments.
The firm is associated with the development and stewardship of several open source technologies on the Java Virtual Machine (VM) (JVM), including frameworks used for building microservices, reactive applications, and modular systems. These frameworks align with enterprise categories such as application development platforms, microservices frameworks, Application Programming Interface (API) services, and JVM ecosystem tooling. Offerings in this area typically support patterns such as dependency injection, compile-time configuration, annotation-driven programming models, and integration with cloud platforms and container orchestration environments (application development).
Object Computing provides consulting and delivery services around cloud-native architectures, including microservices, event-driven systems, containerization, and orchestration. Engagements often involve architectural assessment, design, and implementation of services that run on Kubernetes or similar platforms, with attention to scalability, observability, and deployment automation (cloud DevOps). The company also addresses security, integration, and API management concerns that arise in distributed systems, aligning with common enterprise patterns such as service meshes, gateway-based routing, and token-based authentication and authorization.
Data and AI services at Object Computing cover data engineering, analytics, and Machine Learning (ML) solution development. This includes data pipeline design, data platform integration, and model deployment into production environments, often in conjunction with cloud data services. Offerings Marketing Automation Platform (MAP) to categories such as data engineering, ML operations (MLOps), and analytics platforms, where the firm focuses on building reproducible workflows, integrating with established data storage and processing technologies, and exposing ML capabilities through APIs or event streams (data management, AI/ML infrastructure).
The organization also provides training and enablement programs for development teams and technical leadership. These services cover topics such as modern software architecture, microservices, cloud-native patterns, DevOps practices, and specific open source frameworks and tools maintained or supported by the company (technical training). Training often combines formal instruction with hands-on labs and code examples, supporting enterprises that want to upskill teams while standardizing on particular platforms or architectural approaches.
In an enterprise technology directory, Object Computing can be categorized under custom application development, cloud-native and microservices consulting, data and AI engineering services, JVM-based open source frameworks (application development), and technical training and enablement. Its role spans both strategic advisory and hands-on delivery, with offerings covering the lifecycle from architecture and design through implementation, optimization, and skills development for engineering organizations.