Managed Services
Managed Services
Managed operations for applications, data platforms, GIS, and AI/ML systems.
Our Experience & Impact
24/7
proactive monitoring and incident response coverage
< 15min
average mean time to acknowledge critical incidents
98%
client satisfaction score across managed accounts
We provide always-on managed operations for enterprise technology environments — ensuring your applications, data platforms, cloud infrastructure, and AI/ML systems run reliably, securely, and at peak efficiency. Free your internal teams to focus on innovation while we handle the operational burden.
Related Offerings
Application Managed Services
End-to-end management, monitoring, and support of enterprise applications post-deployment.
Cloud Infrastructure Management
Proactive management of your cloud environments across AWS, Azure, and Google Cloud.
Data Platform Operations
Keep your data warehouses, pipelines, and analytics systems running accurately and efficiently.
GIS & Geospatial Platform Management
Managed services for ArcGIS Enterprise, QGIS, and custom geospatial platforms.
AI/ML System Operations
Monitor, maintain, and retrain AI and machine learning systems running in production.
Application Managed Services
End-to-end management, monitoring, and support of enterprise applications post-deployment.
We take ownership of your business-critical applications — handling monitoring, performance tuning, bug fixes, patch management, and minor enhancements. Our teams ensure your applications remain stable, secure, and aligned with evolving business needs.
Key Capabilities
- 24/7 application monitoring and alerting
- Incident management and resolution
- Performance tuning and optimization
- Patch and security update management
- Change and release management
Use Cases
- ERP and CRM managed support
- Web and mobile application operations
- Post-implementation support for bespoke systems
Cloud Infrastructure Management
Proactive management of your cloud environments across AWS, Azure, and Google Cloud.
We manage your cloud infrastructure end-to-end — monitoring resource health, enforcing security policies, optimizing costs, and responding to incidents. Our FinOps-aligned practices ensure you get maximum value from every dollar of cloud spend.
Key Capabilities
- Multi-cloud monitoring and health management
- Cost optimization and rightsizing
- Security posture and compliance management
- Backup, DR, and resilience operations
- Capacity planning and scaling
Use Cases
- Managed AWS / Azure / GCP environments
- Cloud cost governance programs
- Hybrid cloud operations
Data Platform Operations
Keep your data warehouses, pipelines, and analytics systems running accurately and efficiently.
We manage and operate enterprise data platforms — including Snowflake, Databricks, BigQuery, and custom data lakes — ensuring data pipelines run on schedule, data quality is maintained, and platform performance meets SLAs.
Key Capabilities
- Pipeline monitoring and failure management
- Data quality validation and remediation
- Platform performance and cost optimization
- Schema change and migration management
- Data security and access governance
Use Cases
- Snowflake / Databricks managed operations
- ETL and streaming pipeline management
- BI platform administration
GIS & Geospatial Platform Management
Managed services for ArcGIS Enterprise, QGIS, and custom geospatial platforms.
We provide dedicated managed services for enterprise GIS environments — covering system health, user management, data refresh workflows, map and service publishing, and platform version upgrades to ensure your geospatial systems stay current and reliable.
Key Capabilities
- ArcGIS Enterprise administration and support
- GIS service and map publishing management
- Spatial data update and refresh workflows
- Platform upgrade and patch management
- GIS user access and license management
Use Cases
- ArcGIS Enterprise managed operations
- Municipal GIS system management
- Utility and asset GIS operations
AI/ML System Operations
Monitor, maintain, and retrain AI and machine learning systems running in production.
We operate production AI/ML environments — monitoring model performance, detecting data and concept drift, managing retraining pipelines, and ensuring AI systems remain accurate, fair, and aligned with business outcomes over time.
Key Capabilities
- Model performance monitoring and drift detection
- Automated retraining pipeline management
- AI observability and explainability dashboards
- Data pipeline health for AI workloads
- LLM and GenAI system operations
Use Cases
- Production ML model management
- GenAI application operations
- Automated decision system monitoring