Services
Build it right. Then make it run itself.
Three service lines that share one goal: data your agency can trust, on a platform your team can operate, at a lower long-term cost.
Lakehouse and Warehouse
Lakehouse and Data Warehouse Architecture
Robust architecture, testing, and modeling. Not just putting data in a database and throwing AI at it.
Raw
The problem
Data is spread across systems that disagree. The same program, facility, or customer is named or counted differently depending on where you look. Staff spend hours reconciling numbers, leaders get conflicting reports, and AI tools produce confident but wrong answers.
Forged
The outcome
One well-structured platform. Records are crosswalked across systems so everything lines up, then tested so the numbers can be trusted. Data is accessible, consistent across every report, and ready for AI, from plain-English questions to predictive models.
What you get
- Architecture blueprint
- Data models and a data dictionary
- Common definitions
- Cross-system crosswalks
- A working lakehouse or warehouse
- Automated data validation tests
Under the hood
Lakehouse, medallion, and hybrid architectures aligned to security and regulatory requirements. Dimensional modeling, slowly changing dimensions, and semantic models built for analytical efficiency.
Automation and Agentic AI
Automation and Agentic AI Development
Greater efficiency with less staffing and management overhead.
Raw
The problem
Critical data work depends on manual steps (copying files, running scripts, fixing errors by hand) and fragile pipelines that break without warning and that only one person understands. This eats staff time, causes delays, and lets bad data reach reports unnoticed.
Forged
The outcome
Automated pipelines with quality checks at every step, so problems are caught before they reach a report or AI model. Pipelines are documented and designed for your own team to maintain. Where it makes sense, AI agents handle repetitive multi-step tasks, with guardrails and human review.
What you get
- Automated pipelines
- Quality checks and alerts
- Monitoring
- Documentation and runbooks
- AI agents for defined workflows
- Hands-on staff training
Under the hood
Infrastructure as code with CI/CD and automated testing. Agentic application development on AWS AgentCore and Salesforce Agentforce, including public comment and complaint analysis. Retrieval-augmented search over enterprise documents.
BI and Advanced Analytics
BI Modernization and Advanced Analytics
Analytics that give meaningful, truthful insight into the business and the mission.
Raw
The problem
Organizations are stuck on aging reporting tools that are expensive to maintain, slow to change, and only look backward.
Forged
The outcome
Reporting moves onto modern platforms built on trusted data, so dashboards are faster, easier to update, and consistent. Then machine learning forecasts trends, flags anomalies and emerging risks, and uncovers patterns in large volumes of data, including text.
What you get
- Migrated and redesigned dashboards
- Forecasting models
- Anomaly-detection models
- Documentation on how each model works and how much to trust it
Under the hood
Migration from OBIEE, Cognos, Business Objects, and on-premises Oracle to cloud lakehouse. Metadata decomposition, semantic layer reconstruction, and report-level parity validation, so migrated dashboards produce numbers mission owners recognize.
Platform Specialty
Mission Data Platforms
Ontology design, gold-layer schema development, and operational application delivery on Palantir Foundry and Army Vantage.
Our leadership has delivered workforce readiness and manpower analytics on these platforms, from the schema up to the applications analysts use every day.
- Ontology
- Objects and relationships that match how the mission actually works.
- Gold layer
- Curated, tested schemas that operational tools can depend on.
- Applications
- Operational apps built for the analysts who use them.
How We Engage
Solve the hardest problems, then hand over the keys
Options and roadmaps with the ROI of each path. Extensive documentation on everything. Your team trained to operate what we build. No permanent, bloated staff.
Assess
Find the most pressing data challenges and lay out options, each with its ROI.
Architect
Design the platform, models, and definitions, led by a senior architect.
Build and Automate
Deliver working pipelines and platforms with testing and monitoring built in.
Transition
Documentation, runbooks, and hands-on training so your team runs it.
Work With Anvil
Raw data in. Reliable answers out.
Get the one-page overview of our services, experience, and credentials, or reach out directly.