Datics AI
AI for GovTech

Sourcely by Datics AI

Votes, bills, filings and donations from scattered public sources linked to the same person, with the source on every number.

Your users see public records side by side and can check every number. Sourcely pulls records from government sources into one model, links them to the same person or bill, and shows the source on each figure.

See it in your platform Try the demo

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

data.civara.example/harlow-county/officials

Civara Open Data · Sourcely

Demo

Link this week's campaign filings to the county officials.

38 filings linked, 2 waiting for your team

  • Matched by filer ID and name, each with its source
  • 2 filings with a shared name left for a person
  • Shown on the site only after your team confirms

40 filings read38 linked2 to confirm

Try it step by step

Illustrative demo on a fictional county. Not client work.

Try it step by step

Sourcely on a fictional agency.

Civara Open Data (fictional). Step through the conversation, then see what Sourcely hands back, the way your Build Sprint would build it on synthetic data.

data.civara.example/harlow-county/officials

Civara Open Data · Sourcely

Demo

  • Link this week's campaign filings to the county officials.

Step 1 of 5

Illustrative demo on a fictional county. Not client work.

What it hands back

data.civara.example/harlow-county/officials

Filings · week of November 2

Civara Open Data · county campaign finance filings

Sourcely
Filings read
40 · from the county elections site
Done
Linked by filer ID
38 · source link on each
Done
J. Ortega, no filer ID
2 filings · two officials share the name
Check
Suggested match
Joan Ortega · same committee address
Waiting
Shown on the site
Only after your team confirms
Done

Every number keeps its source. Uncertain matches wait for a person.

Illustrative demo on a fictional county. Not client work.

What it does

What Sourcely can do.

Public data pipelines for civic, transparency and open data products: records from government sites pulled into one data model, matched to the same person, bill or place, with the source shown on every number; matches the data cannot settle go to your team to confirm.

One model across sources

Roll calls, bills, disclosures, campaign finance and district boundaries tied to the same person and the same bill.

The source on every number

Each score and figure links to the public record behind it, with a data quality mark.

Matches your team confirms

Where names or IDs do not settle a match, it goes to your team with the reasons shown.

Pipelines that keep running

Scheduled pipelines and scrapers per source, with checks when a source changes its format.

Lookup by address

An address or ZIP returns the right district and representatives from real boundary data.

How it works

Sourcely runs a pipeline per public source into one data model, ties each record to the same person, bill or place by ID first and by name and address only with reasons shown, and keeps the source link on every record. Matches the data cannot settle wait in a review queue for your team, and nothing unconfirmed is shown.

Built on the public data model and pipelines we delivered for CivicQ, which link votes, bills, stock trades and campaign money to each representative; the match suggestions are what a Build Sprint adds.

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

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

NOLK Enterprises Inc.

Data engineering · Many sources, one index

Thousands of online stores indexed from spreadsheets, compared by traffic and social following

The store list sat in four spreadsheets nobody could search. Now every store is indexed, enriched from the web and compared in dashboards.

Data foundationIntegrations
Read case study

Why it sells

What Sourcely does for your business.

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

Numbers users can check

Every figure links to the public record behind it.

No wrong person named

Shared names wait for a person instead of being guessed.

More sources, less upkeep

New public sources join the same model and checks.

Built for:Records, archives and public information software

Controls

What Sourcely 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

    Your product team, analysts and the public using your platform

  • What it connects to

    Public government sources, your database and your product's pages

  • What a person approves

    Your team confirms every uncertain match before it is shown

  • 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 Sourcely.

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

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

    Users see linked public records, each number sourced

    • One model across sources
    • The source on every number
    • Matches your team confirms
    • 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 getSourcely 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 Sourcely 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 Sourcely 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 Sourcely:

    • Pipelines that keep running
    • Lookup by address

    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 Sourcely.

Is this AI?

Mostly data engineering. The pipelines and data model are the core, and the AI part is suggesting matches the IDs cannot settle, always for a person to confirm.

Which sources have you worked with?

For CivicQ: House Clerk and Senate roll calls, congress.gov bills, House and Senate disclosure sites, FEC and OpenSecrets data, and Census TIGER/Line boundaries. We scope yours in the Product Review.

What if a source changes its format?

Each pipeline checks what it reads, and a change stops that source with an alert instead of loading bad data.

See Sourcely on your own product.

Bring your product and one workflow. In 30 minutes we look at where Sourcely 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 Sourcely in your platform