Evidence for policy decisions, and services residents can actually reach.

Agencies are asked to do more on flat budgets and to show the results in public. We build the data, analytics, and security that make both possible.

Stone columns of a government building against a blue sky

Problems we solve in public sector

The questions public sector teams bring us, what is usually behind them, and what we do about it.

  • “Are our programs actually working?”

    The problem

    Programs are funded year after year with outputs reported, while outcomes are rarely measured.

    How we solve it

    Program evaluation with sound statistical design, and dashboards that track outcomes rather than activity.

  • “Why can’t residents finish the service they started?”

    The problem

    Services are spread across portals and paper forms, and drop-off stays invisible until complaints arrive.

    How we solve it

    Service journey analytics, accessibility review, and digital service changes measured against completion rates.

  • “Where should emergency and maintenance resources go?”

    The problem

    Response resources and maintenance budgets are allocated on last year’s pattern.

    How we solve it

    Emergency response, traffic, and asset analytics that put risk on a map and feed the budget cycle.

  • “Is our data safe enough to share between departments?”

    The problem

    Privacy and security concerns stall sharing between departments that serve the same residents.

    How we solve it

    Government system security, privacy controls, and data-sharing agreements that let departments share what they are permitted to.

Each of those answers depends on data someone can trust. Here is how we make it trustworthy in public sector.

Governed from the first pipeline

Data engineering, analytics, and AI built in order, on governance designed for this sector’s rules rather than retrofitted to them.

Data governance in public sector

Public data carries public obligations.

  • Records retention and public records rules built into the platform, not added later.
  • Analysis involving vulnerable populations reviewed for fairness before it informs a decision.
  • Access by role and purpose, with every use logged.
  • FISMA & FedRAMP
  • CJIS
  • Section 508
  • State privacy law

The method is the same everywhere. The gates are what keep it honest.

Phase by phase, starting small

Each gate is agreed before its phase begins, so nothing scales on optimism.

  1. Assess

    Inventory the data and systems, and pick the one problem worth solving first.

    Gate: First problem and success measure agreed
  2. Pilot

    Solve it end to end at limited scope, measured against the threshold set in Assess.

    Gate: Threshold met, or pilot stopped
  3. Deploy

    Roll out with training and handover, inside your security perimeter.

    Gate: Your team running it
  4. Extend

    Add the next problem on the same data foundation and governance.

    Gate: Ongoing

A good first pilot

One program evaluation, or one department’s performance dashboard, from source data to published figure.

Everything we do in public sector

Citizen services

  • Digital government platforms
  • Engagement, accessibility, and inclusion analytics
  • Performance metrics and reporting

Public safety & infrastructure

  • Emergency response and crime prevention analytics
  • Traffic management and disaster preparedness
  • Smart city monitoring and asset management
  • Maintenance scheduling and budgeting

Security & policy

  • Government system security and data privacy
  • Threat intelligence analytics
  • Regulatory compliance
  • Policy impact assessment and program evaluation

Health & social services

  • Public health analytics and resource planning
  • Social program analysis for vulnerable populations
  • Service delivery analytics

Tell us which program you most need to prove.

We will show you what evidence you already have, and what it would take to measure the rest.

Talk to us

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