Technology advisory for the public sector

Modernize with open standards you control.

We help guide public sector teams to cut legacy software costs, build custom apps faster, and keep control of their data and AI.

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Our approach

Start with the work. Then pick the tools.

Good technology should make real work easier to finish. We begin with what your people need to do. Then we choose tools that fit that job. Open standards keep your options open. Open source lets your team see, change, and move what it builds.

Lower legacy costs

Move off older systems and licenses in steady, planned steps.

Faster delivery

Build custom apps in short cycles, with working results early.

Better service

Give staff and the public clearer answers, sooner.

Partners and platforms

Technologies we work with

Platforms we build and run with. We pick the right fit for each project.

Red Hat

Enterprise Linux and OpenShift for hybrid cloud.

GitLab

Code, build, test, and release in one place.

Wiz

Cloud security, now part of Google. Finds and ranks risks across cloud accounts and workloads.

Vault

Safe storage for passwords, keys, and secrets.

Elastic

Search, logs, and analytics for large data sets.

AWS

Cloud services for computing, storage, and data.

Databricks

Data and AI platform for analytics and machine learning.

Cribl

Routes, shapes, and reduces log and event data.

SAS

SAS data and AI for analytics. Exceptional business intelligence and predictive modeling.

Selected work

Open standards in production

Our team has long standing experience across verticals and projects of all sizes. We're here to help control risk, cost and engagement models that are easy to consume.

Cloud

HIPAA compliant platform on Kubernetes

The full app stack runs across Kubernetes platforms. It works on AWS and Google Cloud.

Client: 2019 Finance startup
Built with: Kubernetes, PostgreSQL, Prometheus, Kafka
Result: Full production environment built in 5 months. Flexible sprints to gauge and evaluate success along the way.

Data

One central data platform

A cloud platform that joins existing data. Designed to resolve duplicate data and delayed care.

Client: 2020 Healthcare Group
Built with: Apache Spark, Airflow, AWS
Result: One team and one central location to handle data for all hospitals. 65% cost savings over traditional databases and integration tools.

Chat style app built in 3 weeks

AI to facilitate and automate existing processes.

Client: 2021 Financial Services Client
Built with: GPT-4, React, AWS
Result: Reported 20x gain in user productivity & service delivery. 40% cost reduction in existing processes and tools. 250% revenue improvement with no cap. 99.8% availability.

Offerings

Two ways to start

Short, clear, bespoke engagements with measurable outcomes. Each one ends with a decision you can act on.

Up to 4 days

Virtualization sprint

A short look at your systems, your data, and your goals. We'll create a roadmap to identify what converts today, what might need re-work, risks and where open source can replace it.

Includes: Systems and cost review, phased partial to full rollout
You get: A ranked list of workloads to move, keep, or retire
You get: Options with cost and risk for each path

Ask about a discovery sprint →

2 to 6 weeks

AI Platform Rollout

Bespoke training through hands-on workshops. Use case review, prioritization and non-production implemention based on use case. You retain the prompts, the data, and the runbooks, optional extension.

Includes: One use case, focused on open standards and open source.
You get: Training for your team on the same work
You get: A clear go or no-go decision at the end

Ask about a ai platform rollout →

Contact

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