AI & intelligent automation
Develop AI applications for knowledge discovery, document processing, predictive analytics, and workflow automation. Integrate models into operational systems with evaluation, human oversight, and monitoring suited to the mission.
Deliverables AI applications, automated workflows, evaluation reports, and integration documentation.
Data engineering & analytics
Connect fragmented data through batch and streaming pipelines, shared data platforms, and reporting tools. Build ETL/ELT workflows, warehouses, and lakehouses with quality checks, governance, and monitoring to support reliable analytics and decision-making.
Platform examples Databricks, Snowflake, and Python, selected to fit your data architecture and operating requirements.
Deliverables Data pipelines, analytics platforms, dashboards, and data quality controls.
Software & systems integration
Design and develop applications, APIs, portals, and integrations that connect existing systems and support agency workflows. Cover requirements, architecture, implementation, testing, and maintenance, with interfaces and documentation that make future changes easier.
Deliverables Applications, APIs, system integrations, automated tests, and technical documentation.
Framework & platform modernization
Move applications, data, and workflows between frameworks, platforms, and infrastructure environments. Assess dependencies, refactor or rebuild components, and plan phased transitions with output reconciliation, performance testing, and rollback procedures.
Deliverables Modernization roadmap, migrated systems, validation results, and transition runbooks.
Cloud infrastructure & operations
Design, deploy, and support cloud and hybrid environments. Implement infrastructure automation, containers, delivery pipelines, monitoring, and performance tuning, with access controls and shared responsibilities defined for each workload.
Platform examples AWS GovCloud (US), Azure Government, Kubernetes, and Terraform, based on workload needs and the approved environment.
Deliverables Configured environments, deployment automation, operational monitoring, and support documentation.
Quantum computing & optimization
Explore quantum, hybrid, and classical approaches to optimization, simulation, and computational research. Formulate problems, develop prototypes, and benchmark solution quality, runtime, and resource requirements to guide investment and identify practical next steps.
Deliverables Feasibility studies, research prototypes, reproducible benchmarks, and technical recommendations.