Built deliberately. Shipped honestly.
Five disciplines, one team. We staff each engagement from senior engineers.

Application Development & Automation
Full-stack web, mobile, and APIs — plus the automation, tooling, and integrations that quietly run the business between your systems of record.
- Web platforms
- Mobile (iOS/Android)
- REST & GraphQL APIs
- Workflow automation
- Internal tooling
- Data pipelines & integrations
Mainframe Modernization
We translate COBOL, PL/I, Assembler, JCL, Rexx, and AS400 workloads into Java, .NET, and cloud-native runtimes, without losing the business logic that took 30 years to write down.
- COBOL → Java/.NET
- AS400 lift-and-shift
- Domain re-mapping
- Strangler-fig migrations
- JCL/Rexx replacement
Cloud & DevOps
AWS and Azure. Kubernetes when it earns its keep, serverless when it doesn't. CI/CD engineers actually use, and FinOps so the bill stops surprising you.
- AWS & Azure
- Kubernetes & ECS
- Serverless (Lambda)
- CI/CD pipelines
- Observability
- FinOps
Data & Security
Data platforms that make information usable, and zero-trust security postures that keep it safe. Analytics people actually read instead of dashboard wallpaper.
- Data platforms
- Data pipelines
- Zero-trust security
- Cybersecurity
- Enterprise architecture
- Analytics
AI & Machine Learning
The intelligence layer on the systems we build. LLM and RAG grounded in your data, computer vision and forecasting in production, and the MLOps to keep them honest. AI for operations that can't afford a confident wrong answer.
- LLM & RAG applications
- Computer vision
- Forecasting & ML models
- AI agents & automation
- MLOps & evaluation
- Decision intelligence
How it connects
Signals in. Decisions out.
We build the pipework: ingestion, models, and surfaces, so the systems we ship don't just store data, they act on it.

- React
- Angular
- TypeScript
- Java
- Node.js
- .NET Core
- Python
- Go
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- Azure DevOps
- GitHub
- PostgreSQL
- MS SQL
- MongoDB
- LLMs
- AI agents
- RAG
- Machine learning
- Multimodal AI
- GraphQL
- REST
- COBOL
- PL/I
- Assembler
- JCL
- Rexx
- AS400
Discover & Define
Two weeks of stakeholder interviews, code archaeology, and risk mapping. We tell you what we found, including the parts you didn't want to hear.
Design & Plan
Domain models, system diagrams, migration sequencing. Estimates with confidence intervals, not a single number pulled from a hat.
Develop & Implement
Two-week increments shipped to a real environment. You see progress weekly, not at a milestone gate three months in.
Deploy & Optimize
Cutover plans with a rollback path. Post-launch instrumentation. We hand you a system you can operate without us.
How we engage
Start small. Scale on proof.
Most engagements open with a focused scope — a discovery sprint or a proof-of-concept — so you can see how we work before committing to the whole thing.
Proof before scale
We'd rather prove it than pitch it. A focused proof-of-concept de-risks the big decision before you commit to it.
Senior team, no handoff
The people who scope your project build it. No junior rotation, no handoff, no telephone game.
Fixed scope, honest estimates
Every engagement is scoped and priced for what it actually is — estimates with confidence intervals, not a number pulled from a hat.
You own it at the end
We hand off a system your team can run without us — instrumented, documented, and yours.