EDI data translation
Strongly Certified

EDI TRANSLATOR
EDI THAT MAPS ITSELF

Turn any trading partner's EDI into clean, analytics-ready data. The AI proposes the mapping, never the value, so a price or quantity is never invented. It learns from every correction, so the review work shrinks toward zero.

5
EDI Dialects
350
Transaction Sets
0
Invented Values

The Mapping Maps Itself.
The Numbers Stay True.

EDI onboarding has always meant weeks of manual mapping, or an LLM that guesses and gets prices wrong. EDI Translator does neither.

It Never Invents a Value

The AI only ever chooses which field a value belongs to. The actual number, code, and date are copied exactly from the document. A hallucinated price or quantity is structurally impossible.

No Hallucinated Numbers Verbatim & Audited

It Onboards Itself

Every confirmation or correction is remembered for that partner. The next document maps the same field automatically. Review volume decays toward zero as a partner matures, instead of weeks of upfront mapping per partner.

Learns Per Partner Review to Zero

It Speaks Every Dialect

X12, EDIFACT, HL7 v2, UK TRADACOMS, and German automotive VDA, all into one clean canonical model. 350 transaction sets ship built in, from purchase orders and ship notices to invoices, freight, and healthcare claims.

5 Dialects 350 Sets

A Human Only Where It Counts

Confident mappings apply automatically. Only the genuinely uncertain fields reach a person, in a review cockpit where they confirm with a click. No drawing lines between two trees, no field-by-field grind.

Calibrated Confidence Review Cockpit

Compliant By Construction

Every inbound document gets the acknowledgment the partner expects, an X12 997 or 999, a TA1, an EDIFACT CONTRL, or an HL7 ACK, generated deterministically. And you can regenerate clean EDI from your data to send back out.

997 / 999 / CONTRL Two-Way

It Cleans Messy Data

A comma-grouped amount, an odd date format, a legacy mainframe number? The system proposes a safe, deterministic fix and applies it on every future document, always keeping the original for audit. The intelligent alternative to emailing the partner to fix their file.

30+ Recovery Recipes Audit Preserved
5
EDI Dialects
350
Transaction Sets
0
Hallucinated Values
→0
Review Volume Over Time

Deterministic Where It Must Be.
Intelligent Where It Helps.

Four steps from a partner's raw EDI to clean data you can trust, getting smarter with every document.

STEP 01

Parse

The document is parsed deterministically into a faithful structure. Five dialects become one model. An unreadable file fails loudly with a precise reason, never silently wrong data.

STEP 02

Propose

The AI proposes which parsed position maps to each field, and how confident it is. It chooses among real candidates in the document. It is never asked for, and never emits, a value.

STEP 03

Calibrate

A calibrated confidence score, blending model agreement with the partner's own history, decides what auto-applies and what a human reviews. The gate is yours to tune, per partner.

STEP 04

Learn

Every confirmation becomes partner memory. The next document needs less review, and a dashboard shows the review curve falling and auto-apply rising, the proof it is getting smarter.

Why Teams Switch

The old ways each made one wrong trade-off. We refused both.

Instead of weeks of manual mapping
It learns the map for you

Traditional drag-line mappers ask an engineer to wire up every field before the first document is ever processed, and the work starts over for the next partner. Here the system proposes the mapping and remembers your corrections, so each partner gets easier, not harder.

Instead of an LLM that guesses values
The numbers are never guessed

Pointing a model at raw EDI produces plausible, silently wrong prices and quantities, the worst outcome in supply chain or healthcare. Our model only ever picks which field a value belongs to. The value itself is copied verbatim by deterministic code.

Instead of X12 only
Every dialect, one clean model

International standards are usually where EDI tools fall down. EDI Translator handles X12, EDIFACT, HL7, TRADACOMS, and VDA into a single canonical shape, with compliant acknowledgments for each, so the same workflow covers your whole partner network.

From the Blog

EDI runs global trade, and almost nobody can turn it into clean data

The deeper story: why EDI is genuinely hard, what the industry has tried, and how we solved it with a model that proposes a mapping and never a value.

Stop Mapping EDI.
Start Trusting It.

See EDI Translator onboard one of your most painful trading partners, live.