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.
EDI onboarding has always meant weeks of manual mapping, or an LLM that guesses and gets prices wrong. EDI Translator does neither.
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.
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.
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.
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.
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.
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.
Four steps from a partner's raw EDI to clean data you can trust, getting smarter with every document.
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.
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.
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.
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.
The old ways each made one wrong trade-off. We refused both.
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.
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.
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.
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.
See EDI Translator onboard one of your most painful trading partners, live.