AI for GovTech

AI for government records and public information software

Answers cited to the record, and public data with the source on every number.

For records management, archive and transparency software. Cited answers or a clear decline from the agency's own records, originals left in place, and public data linked across sources with the source shown on every figure.

Built for: Records management, archive, minutes and agenda, transparency and open data platforms.

Already built or tried AI? Get it scored with the AI Scorecard.

civara.example/harlow-county/archives/ask

Harlow County Archives · Indexly

Demo
  • When was the Mill Road bridge rebuilt?

Step 1 of 5

Illustrative demo on a fictional county. Not client work.

Where these products get stuck

What gets in the way, and how we handle it.

  1. 01

    Answers without a source

    Cite, or decline

    Each claim cited to its record and page, and a clear decline when the records are silent.

  2. 02

    Records copied into an AI tool

    Approved text only

    Your system sends approved text and metadata; originals stay where they are.

  3. 03

    Public data that does not connect

    One sourced model

    Records tied to the same person or bill, with the source kept on every number.

What records officers ask first

Short answers your team can repeat.

  • Answers come only from records the user is allowed to open.
  • Every claim cites its page; the system declines when the records are silent.
  • Originals stay in your records system.
  • We work within your public records, retention and privacy requirements.

AI inside your product

The modules that fit this kind of platform.

Each one is shown on a fictional agency. It is built into your codebase and ships under your name, on an engine we license to you.

What it connects to: Your records system's APIs, collections, roles and clearances, your document viewer and the public sources you use. Sprints use a fictional county's sample records.

Proof

What we have built that this rests on.

57 featured AI case studies: AI products and AI built into live products, each written up on our Work page.

NenoBrief by Neno Technologies

Records AI · Cited answers in production

Archive officers get cited answers inside their live document system, files never copied

Archive records could not reach an outside AI. Now the client's live document system calls our self-hosted gateway for cited answers.

Brownfield AIInside a live productCited answers
Read case study

NenoDoc Lexicon by Neno Technologies

Records AI · Self-hosted workspace

Archive teams get cited answers in French and English on one client-owned GPU

Sensitive archives could not go to an outside AI. Now teams ask in French or English and get answers cited to the page, all on the client's GPU.

AI-native productCited answersDocument intelligence
Read case study

CivicQ

Public data · Every number sourced

Voters see how their representatives vote, trade and fundraise, each number sourced

The record was public but spread across many government sites. Now one profile links votes, bills, trades and campaign money, sources shown.

Data foundationIntegrationsCited answers
Read case study

How it works

Three ways to start, each at a fixed price.

Most records platforms start with Indexly in a Build Sprint: scoped retrieval and cited answers on one record type.

GovTech Platform Product Review · 30 minutes, no chargeStart here. We look at your platform with you, agree the outcome you want for your agencies, and tell you which of the three below fits.

Book a 30-minute Product Review

No AI yet, and a module fits

Build Sprint

$10,000 fixed3 weeks

Pick it when: One of our modules delivers the outcome you want.

Indexly · Sourcely

  • One agency outcome (2 to 3 related capabilities) working in your staging, behind a feature flag
  • Pull requests to your repo, built on a fictional county's sample data
  • Quality and safety evals, the cost per agency and a packaging recommendation
  • A fixed-price quote for production

Something new, or a plan first

Planning Sprint

$5,000 fixed2 weeks

Pick it when: You need something our modules do not cover, or want a plan before you build.

  • Where AI fits across your platform, including beyond our modules
  • A prioritized capability map, with what each one depends on
  • A readiness review of your architecture, data, integrations and permissions
  • A fixed-price quote to build it and take it to production

AI already built or tried

AI Scorecard

$5,000 fixed2 weeks

Pick it when: You have already built or tried an AI feature in your platform, live or not.

  • One AI feature you have built, tested in staging on 50 of your own cases, with names and contact details removed
  • Tests for invented answers, another agency's records, changed amounts and prompt injection
  • Cost per agency and a packaging recommendation
  • A scorecard, ranked fixes, draft security answers and a fixed quote

Not a compliance audit or certification.

How the AI Scorecard works

Production, at a fixed quote

We take what your Sprint built or planned live for your agencies, by pull request, with no standing production access. It typically includes load testing at your busiest season and a spend cap per agency. Your Sprint or Scorecard fee counts toward it.

After go-live, optional support

The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.

Stop after any Sprint and keep what you got.

How a Build Sprint runs

  • In the setup week we map your platform, agencies and roles and agree what the Sprint touches.
  • We follow your coding standards, tests and CI; your engineers review and merge every pull request.
  • Half at signature, half when the Sprint Pack is delivered.
  • Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.

Product improvements you can measure

What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision to go further is made on evidence.

01

Answers staff can give

Measure

Share of answers with a cited page

02

No invented answers

Measure

Questions declined when the records are silent

03

Numbers users trust

Measure

Share of figures shown with their source

We set the success measures with you in the setup week.

Built for public records and public money

Controls your customers' security reviews ask about.

Each control is a design fact about how the module is built and how we work, not a compliance claim.

  • Staff decide

    Corrections, links, replies and published data change only when agency staff approve them.

  • Every answer sourced

    Answers cite their record and page; matches show the file line or field behind them.

  • Scoped per agency

    Every lookup filtered by agency, role and clearance first, and closed when a check fails.

We work within your CJIS, PCI DSS, public records, accessibility and privacy requirements and your agencies' contracts. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as certification or government authorization.

How we handle public records and agency data

Questions we hear on the first call

Straight answers before you book.

Can it run on local hardware?

It is built to. We have run records AI, OCR included, on client-owned AWS GPU hosts with no outside AI service, built so tenants can move to local hardware or a private cloud.

Does it handle scanned records?

Yes. OCR is chosen through side by side tests on real documents, with a fast path for digital files.

See it on your own platform.

Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per agency and what agencies will ask about it.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.