How is AI Sync different from OCR or an ETL pipeline?

OCR extracts text. ETL moves data. AI Sync reads clinical meaning. It understands what the data should say, validates it against expected values, triages by configurable rules, and flags only what needs a human decision. Building that yourself underestimates the ongoing maintenance as formats, partners, and clinical standards evolve.

Can we build this ourselves?

Most teams underestimate what that actually requires, not just the initial build but the ongoing maintenance as lab formats change, new partners come on, and clinical data standards evolve. AI Sync handles that maintenance for you.

Can Igentify integrate with our EMR, including Epic?

Yes. AI Sync connects via API or S3 and fits into your existing stack without replacing what you already run. It can also remove the need for direct EMR integration entirely by routing validated data through S3.

Can AI Sync reduce how many EMR integrations we maintain?

Yes. Instead of managing separate connections for every lab portal and data source, AI Sync consolidates them into one normalized feed that routes clean data to every system you already run.

What data formats does AI Sync support?

HL7, FHIR, PDF, fax, S3, and API. If it arrives in your environment today, AI Sync can read it.

The clinical data engine

Stop fixing data. Start using it.

AI Sync reads, validates, and standardizes incoming clinical data at the source, before it reaches your LIS, billing systems, or downstream workflows. Regardless of what format it arrives in, it leaves clean, complete, and ready to use.

Request a Demo See the evidence

Validated data before it reaches your LIS and billing

Denials and rework, caught upstream

Manual entry from PDFs, faxes, and portals

Accessioning and turnaround as volume grows

Where it breaks down

Clinical data nobody can trust.

Five portals, five formats, manual entry, and the errors and denials that follow. The same broken data lands on two teams at once.

Lab Operations

Manual entry from PDFs and faxes
Missing or mismatched data
Accessioning delays
Rework slows turnaround time

Billing & Revenue Cycle

Incomplete patient and payer data
Claim delays and rework
Manual review before submission
Denials caused by bad data

AI Sync

AI Sync reads incoming clinical data, identifies what's missing or inconsistent based on clinical meaning, standardizes it at the source, and flags only what needs a human decision. It connects to any EMR via API or routes validated data through S3, fitting into your existing stack from day one. When paired with Patient Engagement, it feeds clean, validated data directly into the clinical workflow.

The intelligence layer

Unstructured chaos to clinical truth.

Toggle between the work as it happens today and the work once AI Sync carries it. Same sources, two very different outcomes.

Handwritten

Handwritten form

TRANSLATE

Record assembly

Ingest›Read›Validate›Route

P-99212 · Smith, J.0/4

DemographicsLab CBCInsuranceDiagnosis

P-44018 · Doe, Jane0/4

DemographicsImagingReferralInsurance

P-77301 · Chen, W.0/4

DemographicsPathologyLab PanelPrior Auth

Clean data your LIS and billing systems can useIllustrative demo. No patient data.

Capabilities

Built to understand clinical data, not just move it

Understands, not just extracts

Reads clinical meaning in context, mapping incoming data to the right sample, patient, and workflow, regardless of format or source.

Validates before it's too late

Catches missing, mismatched, or out-of-range values before they reach your downstream systems or billing team.

Denial risk scoring

An ML model scores claims green, yellow, or red, routing clean claims forward and flagging risky ones for human review.

Requisition-to-order matching

Compares incoming orders against electronic records and flags mismatches before they become reconciliation problems.

One connection, not many

Replaces multiple portals, logins, and manual entries with a single normalized data feed into your existing systems.

Trained on your rules

Learns your formats, workflow logic, and exception patterns, and stays maintained as they evolve.

Fits your stack

One connection in. Every system out.

Connect by API or S3, fits into your existing stack from day one. AI Sync can even remove the need for EMR integration entirely by routing validated data through S3.

Any source

HL7 / FHIR
PDF requisitions
S3 buckets
Fax
API

AI Sync

read · validate · route

Your systems

EMR
LIMS
CRM
Billing / RCM

One connection in. Clean, validated data out to every system you already run. No rip-and-replace.

Emily Johnson

MRN 0241783 · DOB 1984-03-22 · F

AI Sync · validated

Important update: BRCA1 variant reclassified from VUS → Pathogenic

AI Sync caught the reclassification on ingest and surfaced it before sign-out.

Genetic variants

GeneVariantZygosityClassification

BRCA1c.5266dupC (p.Gln1756fs)heterozygousPathogenic

CHEK2c.1283C>T (p.Ser428Phe)heterozygousPathogenic (low penetrance)

Family implications

Autosomal dominant inheritance
50% risk to first-degree relatives
Cascade testing recommended

Recommended actions

Refer to genetic counseling
Increased breast screening
Annual breast MRI from age 30

Detects inconsistencies before sign-out

Use cases

Built for any data environment

Multi-lab normalization & EMR integration

Pre-billing validation and denial prevention

Requisition-to-order matching

Real-time eligibility verification

Real-world data (RWD/RWE) standardization

FAQ

Frequently asked questions

See it on your own workflows.

A focused walkthrough on your indications and data. Up and running in weeks, not months.

Request a Demo See the evidence