AI requires modern apps on secure platforms connected to real data
We build that stack
Platform engineering. Application modernization. Continuous ATO. Data engineering. Not four services—one integrated path to AI-readiness.
The gap between AI strategy and AI in production
Your agency has AI ambitions. Maybe even an AI strategy document. But AI doesn’t run on legacy COBOL. It doesn’t work on unauthorized platforms. It can’t learn from data locked in silos. That gap isn’t an AI problem. It’s an infrastructure problem. And we close it—application by application, platform by platform, data source by data source—until your AI initiatives have something real to run on.
The credentials to deliver end-to-end
Most contractors specialize. App dev shops don’t do data. Data shops don’t do platforms. Platform teams don’t do security. Nobody integrates all four. We’re different because of two acquisitions and one partnership.
The Full Stack to AI-Ready
Four capabilities. One integrated journey. Each one unlocks the next.
Application Modernization
Your AI strategy is only as good as the applications that need to use it. Legacy systems can’t call APIs. Monoliths can’t scale for ML workloads. We extract you from legacy and build applications that can participate in an AI-enabled ecosystem.
Why it matters for AI:
ML models need to integrate with your applications. This is where that starts.
Proof:
- Big Safari
- BSI Program
- DOJ MEGA
Method:
- Tanzu Labs / Balanced Teams
Platform Engineering
AI workloads are compute-intensive and bursty. Your legacy VMs weren’t designed for this. We build cloud-native platforms using Kubernetes, GitOps, and DevSecOps pipelines.
Why it matters for AI:
AI needs platforms that can scale dynamically, not static infrastructure.
Proof:
- Tanzu Labs DNA
- USAF Big Safari
Method:
- Platform as Product
Continuous ATO
Every AI system processing mission data needs authorization. But traditional ATO takes 18 months. Continuous ATO means security built into every sprint. You ship every two weeks, always audit-ready.
Why it matters for AI:
18-month ATOs kill AI initiatives. Continuous authorization keeps them alive.
Proof:
- Automated RMF
- STIG Automation
Method:
- Security as Code
Data Engineering
Models trained on garbage produce garbage. We build the data foundations AI needs—lakehouse architecture, governed pipelines, connections to enterprise sources, including ADVANA.
Why it matters for AI:
This is where AI happens. Everything else is preparation.
Proof:
- ADVANA
- CDAO
Partner:
- Databricks Federal Partner
Government Clients
Beyond the mission
Recognizing the spirit of the SDVOSB program and the opportunity it affords us, we are committed to ensuring that our success directly improves the lives of veterans and their families, nationwide.
As part of our pledge to support the veteran community, Amplify has chosen Shields & Stripes as our premier 501(c)3 partner. Shields & Stripes provides a unique, wholistic approach to veteran health – providing individualized physical, nutritional, and mental health coaching, both in person and remotely, at a world-class level. Their work directly prevents suicide and self-harm among our nation’s veterans.
Not a one-time donation. A sustained commitment to people who served.
Our Partners
Full stack. Real outcomes.
These programs went from legacy to AI-ready. Here’s what it took.
To advance the pace of technology modernization across the Federal
IT market
Start with a Navigator
Before you can deploy AI, you need to know what’s in the way. A Navigator is three weeks of deep technical discovery—we map your legacy systems, assess platform readiness, evaluate security posture, and inventory data sources. You get a roadmap that shows exactly what needs to modernize—and in what order—to make AI actually work.
Ready to close the AI gap?
We answer all email and requests as they come in. If you have an urgent matter or would like to place an order please click the link below to give us a call.