Refine

Data Refinement Services

Your pilot worked on the sample, then met your real records.

A clean sample hides what your real content holds, from duplicates and conflicting versions to files nobody ever indexed, and that’s where the results stop holding up. We turn messy, duplicate, unindexed, ungoverned content, in any form, into data your systems and your teams can find, trust and use.

Shared drive · D. Whitfield
Claims system · Dana R. Whitfield
Match and extract
Policy Matched
Address Normalized
PO number Sent to a person
One record · Current
Dana R. Whitfield
TypeContract › Lease
VersionSigned
SensitivityContains PII
98% accuracy
Real Refine engagement result

The problem

Content your teams can’t find or trust slows every decision.

It shows up in the hours people spend working around it, whether the content was just digitized or was always digital.

Which one sounds like your week?
Trust

Two people pull up the same record and get different answers

Records conflict, duplicate or carry errors, and there's no way to tell which version is current. Teams stop trusting the information they're working from.

See Record Matching →
Findability

The file exists somewhere, and nobody can retrieve it

Terabytes of content sit with no index and no structure. When a compliance, search or reporting request arrives, someone goes looking by hand.

See Classification →
Manual work

Staff key data out of documents by hand

Invoices, claims and applications get retyped into the systems that need them, which slows operations and lets errors in.

See IDP →
Stalled initiatives

Automation, analytics and AI can't get reliable results

The content feeding those systems is messy and ungoverned, so their output can't be trusted until the foundation underneath is fixed.

See all three →

What we take on

Clean, structured data that’s ready to be managed and put to work.

Refine offers three capabilities: Intelligent Document Processing (IDP), data quality and record matching, and document classification and metadata enrichment.

The data your team keys in by hand, extracted and validated.

Invoices, claims, applications, contracts and healthcare records carry the data your operations run on, and too often someone retypes it. We classify the documents, extract the data and validate it as a service, so your staff can stop rekeying.

Beyond a single page or form. We connect extracted data to the related records and data points you already hold, which is the harder and more valuable part of the work.

Into the systems you already run. Structured output goes into your systems, repositories or downstream workflows.

Checked against thresholds. Results are checked against configurable accuracy thresholds.

What it looks like Illustrative example
Invoice · Page 1 of 2 Contractor invoice
Vendor Harbor Point Property Mgmt
Invoice no. INV-20418
Invoice date 09/14/2026
Amount due $1,550.00
PO number Unclear on the source, sent to a person
Delivered to the system you already run
What changes
  • Less manual data entry and rekeying, and fewer of the errors that come with it.
  • Faster access to information that was trapped in unstructured records.

Finding the records that describe the same thing, even when they don’t match exactly.

We find, match and resolve duplicate, near-duplicate and inconsistent records within your large, disorganized data sets, using judgment, not blanket deletion.

Beyond exact-match deduplication. Identical files are a baseline cloud storage already catches. The real work is finding records that represent the same thing without being identical, like a signed contract and its unsigned draft.

Judgment, not blanket deletion. A near-duplicate isn’t automatically noise. Sometimes it’s a meaningful variant worth keeping; in insurance, a duplicate submission can indicate fraud rather than redundancy.

Standardization and remediation. Normalizing across inconsistent formats, structures and sources, then correcting, completing and reconciling conflicting records.

Subject matter expert validation. AI extraction runs at over 98% accuracy, but anything that doesn’t meet your accuracy or compliance bar goes to industry specialists for review, not accepted on the model’s word alone.

98%+
AI extraction accuracy before expert review
What changes
  • Builds trust in the record: two people pulling up what they think is the same record get the same, current answer.
  • Surfaces meaningful anomalies, like potential fraud signals, instead of erasing them by default.

Giving unstructured content the structure that makes it findable.

We categorize your documents and add metadata and reference data, so they can be found, governed and put to work.

More than one flat category. Some industries want a second level of specificity beneath the main document type, like a contract classified further as a lease agreement or a service agreement.

Sensitivity travels with the record. Classification includes sensitivity-aware handling of regulated data, such as PII and PHI, where relevant.

Metadata that makes content usable. Tagging and enrichment that makes content findable and usable in the downstream systems that consume it.

Reference data added, not just tags. Standard codes, lookup values and other outside context added to support analytics, search and compliance use cases.

What it looks like
Contract
› Lease agreement
Contains PII
What changes
  • Makes previously unsearchable content findable and governable.
  • Prepares content for activation: search, analytics and business intelligence.
01 / 03

Ways to engage

Decide how much of the work you want to hand off.

We deliver IDP as a service, with our team doing the classification, extraction and validation. If you’d rather run IDP yourself, we implement, manage and support the software, including PageIQ and partner platforms. The choice comes down to how you want to engage, and you can start at any point on the line and move along it over time.

01 · We run it

Fully managed

We run your IDP solution as a managed service, including one built on PageIQ. You buy an outcome, not a tool you still have to run.

02 · Shared

Supported transition

You buy the technology and add our managed services as needed, including setup and ongoing management.

03 · You run it

Self-service

You run PageIQ (our own platform), Hyland's Content Intelligence Cloud (CIC) or Box (Box Extract, Box AI and Box Automate) yourself, with our implementation, training and support.

Our team does the work Your team runs it
Where people come in

Technology handles what technology can reliably handle, and a human steps in only for what is left.

Who we do this for

The leaders whose teams work around unreliable data every day.

Records managers

Records that can't be found when a request or an audit arrives

Claims managers

Claims data keyed by hand while the queue keeps growing

VPs of operations

Reports that two teams can't agree on, built from conflicting records

Case management leads

Case files duplicated across systems, with no clear current version

Who we work with

Where this has held up.

Mid-Atlantic Healthcare System
$7.9M

Projected annual savings

Manual indexing couldn’t keep pace with ambulatory care volume. AI-powered document processing cut unit cost from $1.50 to $0.68 and reached 98% indexing accuracy.

Read the case study →
DataBank Internal Operations
1M+

Images processed monthly via PageIQ

We run our own healthcare and AP document operations on the same AI-powered classification and extraction platform, handling roughly 1,500 document types per healthcare client across ~15 clients, in production for 5+ years.

Read the case study →

Security and compliance

Regulated data gets handled as regulated data.

Classification includes sensitivity-aware handling of regulated data, such as personally identifiable information (PII) and protected health information (PHI), where relevant.

SOC 2 Type II, ISO 27001 and HIPAA-aligned handling all apply to Refine work, at the same facilities as every other DataBank engagement.

Bring the security and compliance requirements your content carries to the first conversation.

Security programs

Monitored around the clock.

Security event and threat monitoring (SIEM), 24/7.

A dedicated information security team.

It runs the security programs that apply to all of our work.

Multi-factor authentication.

Required for every remote connection to our systems.

Screened people.

Background screening before hire, confidentiality agreements and security training at hire and every year.

Where Refine sits

Refine ends at trusted, structured data. Manage starts there.

When records have just been digitized, the work isn’t finished. The pages are now files, but the data inside still isn’t structured, deduplicated or ready to use, and Refine picks up from there. Content that was always digital comes straight to Refine, with no scanning engagement in front of it.

Think of us as the general contractor for complex document and data operations. Intake, Refine, Manage and Activate follow your data in the order it moves: captured, refined, managed and activated.

Next stage: Content Management Solutions

Explore Manage

Questions we hear

Before you reach out.

No. Refine works on the content you already have, including records that were always digital and never touched paper.

Start the conversation

Which records does your team trust least?

Tell us where it shows up for you, whether that’s a request nobody can answer quickly, a report two teams read differently or an automation project waiting on better data, and we’ll start the conversation there.

Connect with an expert