Balans

AI Engineering for Government Modernization

Balans is an independent data and AI engineering practice for public-sector institutions. I build local, in-process, on-device solutions that keep your data private and under your control, designed to meet WCAG 2.2 accessibility targets and align with FAIR principles, without vendor lock-in or long-term contracts.

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Collaborate with me when:

You need a completed project, not another platform subscription.
Your mandate has a hard deadline.
Your budget rules out multi-year vendor relationships.
Your data assets must be processed on infrastructure you can control and audit.

Why Government Modernization Needs a New Approach

Government IT modernization is often sold as a platform, a subscription, a dashboard, a multi-year contract that outlives the mandate it was built for. I work differently.

Embedded, Scoped, Handed Over

I work embedded with your team, within your constraints, until the deliverable is complete and handed over. After that, you decide whether to extend the engagement or close it.

Built for Public Sector Reality:

Local-first, sovereign by default: Data and models run on infrastructure you control.
No vendor lock-in: Deliverables include complete code, documentation, and training.
Project-based: Defined scope, defined end date, fits standard contracting vehicles.
Standards-aligned from day one: Built to WCAG 2.2 AA (AAA criteria where feasible) and aligned with FAIR data principles.

What I Deliver

Fix the data, make it actionable, add on advanced capabilities—with compliance and sovereignty as underlying principles.

Data Engineering

Custom pipelines and modern analytical infrastructure that turn raw data into actionable assets, with scalability in mind. Ideal for departments consolidating legacy systems or preparing for AI-enabled initiatives.

Reporting & Analytical Deliverables

Actionable insights through reports, notebooks, dashboards, and AI layers that draw on your project’s data and your team’s knowledge.

AI/ML Engineering

From proof-of-concept to working deployment, I build solutions for real-world problems with transparency and fairness at the core, specializing in on-device inference for maximum data control.

Strategy, Governance & Compliance

I help align your data with organizational goals, regulatory requirements (ATIP, Privacy Act), and best practices (WCAG, FAIR), so you go into departmental review well prepared.

Sovereign Tooling

Local, in-process, on-device inference and tooling by default, supporting data sovereignty, privacy, and full auditability. No third-party cloud routing unless you explicitly choose it.

Service Tiers

Every engagement is scoped before it’s priced—the tiers below are for planning purposes, not a binding quote.

Scope

In-depth data audit, FAIR assessment, scoping report.

Timeline: 4–6 weeks
Price: $7,500 – $9,500

Architect

Data cleaning, vault/lake structuring, pipeline development.

Timeline: 8–12 weeks
Price: $35,000 – $80,000

Enable

End-to-end build, SQL/reporting layer, local LLM integration, training materials.

Timeline: 12 weeks+
Price: $85,000 – $140,000

Prices exclude applicable taxes. Final pricing depends on data volume, schema complexity, and current data quality. A scoping phase is required before build work, and the scoping report is yours to use however you choose.

Get Started

Have a project in mind, or want to discuss your options? A first conversation costs nothing and commits you to nothing.

Email Adam

Balans is a disability-owned business with data science and research data management expertise. Collaborating with me may count toward supplier diversity objectives.

About the name

Several cultures share the idea of something being “just right” (not too much, not too little). Like the Earth’s axial tilt, a small but well-placed adjustment can be what makes everything feel optimized, well-balanced. That’s the standard I hold myself to.