Digital Modernization
Legacy assessment, decoupling and incremental replacement. Strangler patterns, API layers and data migration executed so service continuity is never in question.
Excelity / Capabilities
Our capabilities span engineering, consulting and programmatic disciplines. Acquisition acumen and expertise provide the underlying core across every competency area, which is why they compose into a single program rather than a stack of vendors.
Legacy assessment, decoupling and incremental replacement. Strangler patterns, API layers and data migration executed so service continuity is never in question.
Product ownership, cross-functional teams, and engineering practice that produces working software every increment, on time and within budget, with progress visible to sponsors continuously rather than at gate reviews.
Use-case discovery, model selection and evaluation, retrieval and agent workflows, and the MLOps to keep them running, designed from the start for classified, controlled and disconnected networks. New approaches are proven in Excelity Labs before they reach a program.
Automated build, test and release pipelines with security scanning, policy as code, and continuously generated compliance evidence, so authorization keeps pace with delivery.
Test strategy and automation across the full lifecycle: unit, integration and regression; functional and end-to-end; performance and load; security; Section 508 accessibility; and user acceptance and operational testing. Results feed the pipeline and the authorization package, not a separate report.
Research, service design, accessible interface systems and usability testing that improve how information and resources are delivered, raising both experience quality and user adoption.
Role-based training and materials, ongoing user support, and transition planning that moves users off legacy systems without disrupting operations. Users are ready on day one, and adoption is measured rather than assumed.
Data management, governed semantic models and analytics interfaces that transform raw data into information leaders can act on with confidence.
Business case and mission analysis feeding rapid, scalable pilots. A disciplined way to confirm the right solution before committing to scale.
Technologies
We do not resell a platform. We select for fit, then engineer to a standard that another team could inherit.
AWS, Azure and Google Cloud, including government regions and hybrid landing zones.
Kubernetes, containers, serverless, service mesh and infrastructure as code.
Modern warehouses and lakehouses, streaming pipelines, governed models and BI tooling.
API-first services, modern web frameworks, accessible design systems and mobile.
Zero-trust patterns, identity federation, secrets management and continuous control monitoring.
CI/CD, policy as code, automated testing and compliance artifact generation.
Applied machine learning and decision support, evaluated in Labs before it reaches production.
Telemetry, tracing and SLO practice, so operations is a design concern rather than an afterthought.
Most programs need two or three of these working together. Tell us the constraint and we will propose the shortest credible route.