Keep Profisee as the governed source of truth across product, customer and supplier master data; add Anglera to mine supplier PDFs for the specs the golden record never had and write commerce-ready values back.
Profisee and Anglera solve different halves of the problem — this page is about the seam between them.
Profisee arbitrates between the product values your systems already hold; the practice is producing the values none of them hold — and producing them again each quarter, as categories add fields and suppliers revise specs.
Mine every spec from every source.
Every value traced to a document you can open. The catalog is only as honest as what it was built from.
Aim the catalog at the buyer who actually buys.
Grounded data still loses if it answers questions nobody asked. Alignment is what turns specs into conversion.
Product data is a practice, not a project.
Markets move, suppliers reissue, buyers change what they ask for. A catalog that is right in March is wrong by August unless something is watching.
Scored against public documentation. Grouped by the three acts — so you can see which ones Profisee leaves on your desk.
Structured source systems and feeds; no unstructured document mining
PDFs, spec tables, drawings, manuals, images, sites
Aisey assists attribute modeling; no external attribute discovery
Proposes fields your schema never had
Reference data management: governed code sets, domain-constrained values
Normalizes and governs allowed values, versioned
Strong hierarchy modeling; stewards classify, no channel mapping
Auto-classifies; channel and marketplace mapping
Survivorship shows source system; audit trails, not source documents
Every value cites its source doc and page
Single golden record; no persona-tailored enrichment
B2B specifier and B2C shopper enriched differently
No review, search-query, or competitor-listing inputs
Reviews, search, competitor rails, social — fed back
No description, bullet, or marketing copy generation
Original copy per persona and channel
No image generation; no DAM module
Generates studio-grade imagery for photoless SKUs
Rule-based agents run ongoing; no external re-mining
Re-enriches on its own after go-live
Data quality dashboards track validation and completeness over time
Scored against your standards; nothing publishes below bar
Core: publishes golden records to downstream systems
Writes back to PIM, ERP, warehouse, commerce
REST API, webhooks, and a shipping MCP server
API, webhooks, and MCP servers
Software platform; customer's data stewards own the work
Anglera owns the work; review is a guardrail
“Buyer signals” is the emptiest phrase in this category, so here is the literal thing. Each of these is an observation from a live market, the gap it exposes, and the field that gets created as a result.
"316L" returns four pumps. "316 stainless" returns none, and those sessions end there. The grade is in the attached datasheet PDF, never in a field.
Material grade lives in documents, so it can't be faceted or matched on. There is no value in any source system for survivorship to arbitrate — the attribute doesn't exist as data anywhere.
wetted_material_gradeUNS/ASTM grade list — 304, 304L, 316, 316L, 2205 duplex, Alloy 20, CD4MCu — with "SS316" and "1.4404" mapped in as synonyms rather than stored as distinct values."Is the 1-1/8 in. shaft keyed, and does the key ship with it?" Answered by other buyers, inconsistently. The spec table gives frame size 182T and stops.
Frame size implies shaft diameter but not shaft form or what's in the box. The answer sits in the manufacturer's dimension drawing, unread into any field — so there is no value in any system to reconcile, validate or sync.
shaft_typeKeyed / Smooth / Splined / Threaded / D-profile — with key_included carried as a separate boolean rather than folded into the description.A run of instrument trays bounces with "sterilization_method: required." The field entered the category spec at the spring refresh.
The requirement is newer than the item master. ERP, PLM and the storefront were built before the field existed, so survivorship has no candidate value to select and a steward opening the record finds the same blank. The value has to be researched from the IFU and supplier documentation before there is anything to govern or distribute.
sterilization_methodSteam autoclave / Ethylene oxide / Gamma irradiation / Hydrogen peroxide plasma / Non-sterile — with supplied-sterile vs. field-sterilizable tracked as its own governed field.Survivorship answers a question of arbitration: two systems disagree on the drive size of a bit set, and a rule decides which value wins. Survivorship rules populate the golden record with information chosen across your source systems. That question only exists when at least one system holds a value. The rot in a governed catalog is the opposite case: the fields where ERP, PLM and e-commerce all agree because all three are blank. Nobody recorded the flange bolt pattern, so the golden record has nothing to select from. Categories keep adding fields — a plenum rating, a duty cycle, a sterilization method — that no source system was built to hold. A steward can be handed that record, but the value isn't in the queue; it's in a supplier drawing. Anglera does the sourcing; Profisee governs and distributes what comes back.
Values are normalized into a governed, versioned set of allowed values — so a filter works, and keeps working after the next import.
3/4 in0.75"3/4"19mm3/4 inchDN200.75 in (DN20)Six suppliers, six spellings, one physical size. Filters only work once they agree.
BlkblackBLACK MATTEMatte BlkRAL 9005Black — MatteFree text makes a colour filter useless. A governed value makes it a facet.
SS316316 StainlessStainless Steel 316A4 StainlessStainless Steel — 316 / A4Same alloy, four vocabularies, plus a trade name. Buyers search all of them.
Filling the fields you defined has an invisible ceiling: a catalog can hit 100% complete and still miss the attribute that loses the sale, because completeness is measured against a schema someone drew years ago. Schema Foundry reads competitor listings, buyer searches, review complaints and your supplier docs, and proposes the fields you never defined — which is where Profisee stops.
How Schema Foundry works
Profisee is an enterprise multi-domain Master Data Management (MDM) platform that creates and governs golden records across product, customer, supplier, and reference data domains. It is built on Microsoft Azure and is recognized as a Gartner Magic Quadrant Leader for MDM.
Pricing: Subscription-based; priced by domain, users, and environments. No public list pricing — custom quotes only.
Profisee websiteEnterprises needing one governed record across several data domains — reference code sets, survivorship, stewardship workflows, quality dashboards — on Azure, with stewards staffed to run it.
We'd rather tell you here than in month three of an implementation.
Capability verdicts reviewed against Profisee's public documentation on July 14, 2026. Vendors ship quickly — if something here is out of date, tell us and we'll correct it.
Bring one category and your supplier files. In 30 minutes you'll see it enriched — complete, structured, and consistent enough to launch on — plus the attributes your schema didn't have yet.
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