Datics AI
AI for Healthcare

Paperly by Datics AI

Contracts, referrals and forms read into fields, every value tied to its page.

Documents in any layout become the fields your product uses, each value tied to its page. Providers are checked against the NPI Registry, and missing values stay blank, never guessed.

See it in your platform Try the demo

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

app.northfieldhealth.example/contracts/upload

Northfield Health Data · Paperly

Demo

Read this physician agreement into our compensation fields.

Record ready for review

  • 11 fields filled with sources
  • 1 field flagged as not found
  • Provider verified against NPI

Uploaded to your storageExtracted in your accountAnalyst to confirm

Try it step by step

Illustrative demo on a fictional practice. Not client work.

Try it step by step

Paperly on a fictional practice.

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

app.northfieldhealth.example/contracts/upload

Northfield Health Data · Paperly

Demo

  • Read this physician agreement into our compensation fields.

Step 1 of 3

Illustrative demo on a fictional practice. Not client work.

What it hands back

app.northfieldhealth.example/contracts/upload

Physician agreement 0412 · Extracted

Northfield Health Data · inside your cloud account

Paperly
Base salary
Found on page 4
Done
Rate per wRVU
Found on page 5
Done
Term and renewal
Found on page 2
Done
Signing bonus
Not in this document · left empty
Check
Provider
Verified against the NPI Registry
Done

Every value links to its page and passage. Missing values go to review, never guessed.

Illustrative demo on a fictional practice. Not client work.

What it does

What Paperly can do.

Reads healthcare documents in any layout (contracts, referrals, insurance cards, forms) into the fields your product uses, shows where each value came from, verifies providers against the NPI Registry, and leaves blanks instead of guesses.

Any layout

One pipeline for every layout your customers send, not rules per template.

Source for every value

Each field links to the page and passage it came from.

No guessed values

When a value is not in the document, the field stays empty and is flagged.

NPI verification

Providers matched and checked against the official NPI Registry.

Inside your HIPAA account

Runs in your own cloud account, triggered by your uploads.

How it works

Uploads trigger a pipeline in your cloud account: the document is split and searched, the model fills each field only from passages it found, and values are checked before they are saved.

Built on document extraction we have delivered inside a healthcare data company's HIPAA cloud.

Datascape

Healthcare data · Document extraction

Compensation terms read from any physician contract, built inside the client's HIPAA cloud

Extraction code broke whenever a contract changed layout. One RAG pipeline now reads any contract, inside the client's own AWS account.

Forward deployedBrownfield AIDocument intelligence
Read case study

Healthcare data consultancy

Healthcare data · Provider verification

Provider data from scattered practice websites, verified against NPI inside the client's AWS

Practice sites are all built differently and many lack sitemaps. One crawler in the client's AWS now turns them into NPI verified records.

Data foundationRuns in client cloudRegulated data
Read case study

NenoDoc Lexicon by Neno Technologies

AI engine · Cited answers

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

Why it sells

What Paperly does for your business.

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

Hours of manual reading removed

Analysts check flagged fields instead of reading every page.

Trust in the numbers

Every value shows where it came from.

Ready for new customers

New layouts from a new customer work without new rules, so onboarding does not wait on engineering.

Built for:Healthcare data and analytics platforms

Controls

What Paperly touches, and who approves.

Your practices' 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

    Analysts, operations teams, data teams

  • What it connects to

    Your document storage and data warehouse

  • What a person approves

    Low-confidence fields go to a review queue

  • Switch per practice

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

See all controls and how we handle patient data

How to get it

Two steps to a finished Paperly.

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

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

    One document type read reliably across every layout

    • Any layout
    • Source for every value
    • No guessed values
    • 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 getPaperly 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 practices' customers
    The fee
    Counts toward production
    See Paperly 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 practice
    • A finished, working Paperly 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 Paperly:

    • NPI verification
    • Inside your HIPAA account

    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 Paperly.

Does any document leave our cloud?

No. The pipeline runs inside your own account.

What happens when a value is missing?

The field stays empty and goes to the review queue; nothing is guessed.

Which document types?

We have delivered it on physician contracts and amendments. Referrals, insurance cards and forms use the same pipeline; we start with one type in the Sprint.

See Paperly on your own product.

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

Book a 30-minute Product Review All healthcare modules

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

See Paperly in your platform