Datics AI
AI for GovTech

Indexly by Datics AI

Clerks and archive staff ask the records a question and get an answer cited to the page, or a clear decline.

Clerks and archive staff stop reading box after box for one answer. Indexly answers from the agency's own records, cites each claim to its page, and declines when the records are silent.

See it in your platform Try the demo

Built into your codebase and shipped under your name, on an engine we license to you.

civara.example/harlow-county/archives/ask

Harlow County Archives · Indexly

Demo

When was the Mill Road bridge rebuilt?

1 answer cited, 1 question declined

  • Searched only the collections this user may open
  • Each claim cited to its record and page
  • Declined when the records were silent

Scoped by clearance2 citations1 decline

Try it step by step

Illustrative demo on a fictional county. Not client work.

Try it step by step

Indexly on a fictional agency.

Harlow County Archives (fictional). Step through the conversation, then see what Indexly hands back, the way your Build Sprint would build it on synthetic data.

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.

What it hands back

civara.example/harlow-county/archives/ask

Answer · Mill Road bridge

Harlow County Archives · commission minutes and public works reports

Indexly
Rebuild approved
May 3, 1988 · Minutes, page 4
Done
Work finished
July 1989 · Public works report, page 2
Done
1974 rezoning
Not in the records this user can open · declined
Check
Originals
Opened from the records system, never copied
Done
Release to the public
Staff decide
Waiting

Indexly cites or declines. What is released to the public stays a staff decision.

Illustrative demo on a fictional county. Not client work.

What it does

What Indexly can do.

Cited answers, search and comparison over minutes, ordinances, permits and archive records, inside the records system the agency already uses: scoped by agency, collection and clearance before anything is ranked, every claim cited to its page, and the original left in its system of record.

Cite, or decline

Each claim cited to its record and page, and a clear decline when the records do not hold the answer.

Scoped before ranking

Retrieval filtered by agency, collection and clearance before anything is ranked, and closed when a check fails.

Originals stay in place

Your records system sends approved text and metadata; users open the original from its own system.

Scans and two languages

Scanned records read by OCR chosen through side by side tests, with answers in English and French.

Compare versions

Two versions of an ordinance or policy compared, with each change cited.

How it works

Your records system pushes approved text, metadata and source IDs, and Indexly indexes them without copying the originals. Each question is filtered by agency, collection and clearance first, answered only from the passages found, and cited to the page; users open the original from your system through a short-lived link. It runs on self-hosted models in your cloud or on the agency's own GPU host.

Built on NenoBrief, the self-hosted AI gateway a live government document system calls in production, and NenoDoc Lexicon, both for Neno Technologies.

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

NenoDoc Lexicon by Neno Technologies

Records AI · Writing that keeps the facts

Archive indexers fix grammar and style without a name, date or figure changing

AI rewrites can quietly alter names and numbers. Ours edits only flagged spans, and approved terms are locked before the model sees them.

AI-native productHuman approvalDocument intelligence
Read case study

Why it sells

What Indexly does for your business.

What your agencys get, and what it does for your renewals and pricing.

Faster records requests

Staff find the page in minutes, not boxes.

Answers the public can check

Every claim comes with the record behind it.

No new copy of the records

Originals stay in your system, the first thing agencies ask about.

Built for:Records, archives and public information software

Controls

What Indexly touches, and who approves.

Your agencys' data is not used to train models for anyone else and stays in your cloud. Built and tested on synthetic or test data.

  • Who uses it

    Clerks, archivists, records officers and researchers

  • What it connects to

    Your records system's APIs, collections, roles and clearances, and its document viewer

  • What a person approves

    Staff decide what is released; Indexly answers and cites, and never publishes

  • Switch per agency

    On or off for each agency, with data settings their admins control.

See all controls and how we handle public records and agency data

How to get it

Two steps to a finished Indexly.

Start with a three-week Build Sprint. Add more only if you want it.

  1. First · Build Sprint · $10,000 fixed

    Staff get cited answers from their own records

    • Cite, or decline
    • Scoped before ranking
    • Originals stay in place
    • In your staging, behind a feature flag
    • Delivered as pull requests
    • A test set your team reviews
    1. Week 1Setup
    2. Weeks 2 to 3Build
    3. You getIndexly in your staging and a fixed production quote
    Your time
    About 2 to 3 hours a week from a product owner
    Data
    Synthetic or test data, never your agencys' customers
    The fee
    Counts toward production
    See Indexly in your platform See a sample Build Sprint Pack

  2. Then · Live in production

    A finished product, yours to run

    • Fixed quote
    • Tested before launch
    • Switch per agency
    • A finished, working Indexly in your product
    • Runs in your cloud, under your name
    • Fixed quote, agreed before we start

  3. Optional · Add more later

    Only if you want it

    More of Indexly:

    • Scans and two languages
    • Compare versions

    Another module:

    • Each one quoted on its own
    • Nothing ongoing unless you ask

Already built or tried AI? Get it scored with the AI Scorecard. Need something else? Start with a Planning Sprint.

FAQ

Questions about Indexly.

Can it run without an outside AI service?

Yes. We have run records AI fully self-hosted on client-owned GPU hosts, OCR included, built to move to local hardware or a private cloud.

Does it copy the agency's records?

No. Your system sends approved text and metadata for the index; the originals stay in your system, and users open them from there.

What happens when the records do not hold the answer?

It says so plainly and cites nothing. It never fills the gap with a guess.

See Indexly on your own product.

Bring your product and one workflow. In 30 minutes we look at where Indexly fits, what it would cost to serve and what your agencys' security review will ask.

Book a 30-minute Product Review All govtech modules

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

See Indexly in your platform