Capabilities

Full-spectrum capabilities, engineered for accountability.

Seven practice areas that take DOE, DoD and NIH programs from legacy constraint to modern, secure and measurable outcomes, with AI, ServiceNow and SAP at the center.

01 · PRACTICE

Data Center Modernization

Infrastructure, virtualization, network configuration and hybrid cloud for mission data centers and secure facilities, from rack and cabling through operations.

  • VMware architecture and design, network and firewall configuration
  • Hybrid cloud and Microsoft 365 GCC alongside on-premises systems
  • Secure-facility technology delivery under site controls and change processes
  • Infrastructure
  • Network
  • Hybrid cloud

Explore Data Center Modernization

Two engineers with laptops in a data center server aisle
02 · PRACTICE

ServiceNow

Platform foundation through SecOps. We implement, upgrade and operate the Now Platform across ITSM, ITOM, HRSD, GRC, SecOps and SPM, and use AI Control Tower as the enterprise AI inventory and control plane.

  • Platform foundation, ITSM through SecOps, upgrade-safe customization
  • AI Control Tower and Now Assist under governance
  • Integrations to SAP, Workday, Google Cloud, Tenable and Palo Alto
  • ITSM
  • ITOM
  • GRC
  • SecOps
  • SPM
Whiteboard workflow planning session
03 · PRACTICE

SAP

Full lifecycle SAP, including SAP NS2 for regulated federal workloads. We cover advisory, implementation and migration, integration and application management, and the practice stays after cutover.

  • Full lifecycle SAP, including NS2 for regulated federal workloads
  • S/4HANA and integration architecture, not only ticket handling
  • Transport governance, configuration debt and finance interfaces
  • S/4HANA
  • NS2
  • Integration
Enterprise team reviewing plans around a table
04 · PRACTICE

AI & Data

Stand up an AI Center of Excellence and a governance model agencies can take through ATO: inventory, control tower, human oversight and production use cases. From data foundations to governed generative AI.

  • AI CoE: inventory, control tower, memory layer, human gate, then scale
  • A use-case factory rather than a pile of pilots
  • Governed retrieval grounded in authorized agency content
  • AI CoE
  • Governance
  • ATO

Explore AI & Data

Computer-generated render of a glowing brain on a dark background
05 · PRACTICE

Cloud

Migration, modernization and FinOps across AWS, Azure and Google Cloud. Landing zones, identity and guardrails, with security gates inside the pipeline rather than bolted on before audit.

  • Federal and enterprise landing zones
  • Identity, org policy, logging and residency
  • FinOps and continuity architecture
  • AWS
  • Azure
  • Google Cloud
Engineer working on fiber and network equipment in a rack
06 · PRACTICE

DevOps / SRE

CI/CD, observability and site reliability that keep mission systems fast, resilient and always up, shortening the path from code to accredited release.

  • CI/CD with security gates in the pipeline
  • Observability and SLO-driven operations
  • Automation that removes the administrative tax on delivery teams
  • CI/CD
  • SRE
  • DevSecOps
Code editor showing a software build
07 · PRACTICE

Cybersecurity

Zero-trust architecture, continuous compliance and threat defense hardened for sensitive, highly regulated environments.

  • Zero-trust architecture
  • Continuous compliance and ATO support
  • Threat defense for high-control environments
  • Zero Trust
  • ATO
  • Compliance
Macro photo of a blue circuit board
What shipped

Outcomes, not slideware.

Case study

Platform foundation for a power operator

Retire manual toil and stand up auditable workflow on a single platform, from intake through change and SecOps.

  • ServiceNow
  • ITSM
  • ITOM
  • GRC
Case study

Landscape sustainment under federal constraint

The landscape still has to run after cutover: transport governance, configuration debt, and the interfaces finance depends on.

  • SAP S/4HANA
  • Integration
Case study

From pilot to ATO

Inventory, control tower, memory layer, human gate, then scale. A use-case factory rather than a pile of pilots.

  • ServiceNow
  • AI Control Tower
  • AI CoE
How we engage

Principles that hold up under real-world pressure.

A delivery model tuned for scale, cost and continuity, applied on every program regardless of size.

01

Agile

Quickly and transparently provision resources on as-needed terms.

02

Outcome-focused

Lower the barriers to entry so clients do not have to make major infrastructure bets.

03

Scalable

Ramp up in times of demand and scale back down the moment it recedes.

04

Automatic

Use automation and code to eliminate the administrative tax on delivery teams.

05

Sustainable

Improve resource utilization and stand up more efficient, greener systems.

06

Reliable

Engineer the cloud to deliver dependable performance across every site.

Have a requirement in mind?

We can help shape a technical requirement before an RFQ is issued, then deliver it under SEWP VI or GSA MAS.