RevOps owns the numbers, which means RevOps owns every inconsistent picklist value, every mismatched column, and every merge that quietly creates duplicates. Asphorem standardises CRM data before it ever reaches a report or an import.
File rows never leave your browser. AI matching uses unique column values only.
Works with any CSV-based import
Inconsistent data does not just break imports. It quietly corrupts every report and merge downstream.
When 'Closed Won', 'closed won', and 'CLOSED-WON' all live in one field, your win rate splits across three buckets and no two dashboards agree.
Pulling records from two CRMs and a data provider means three column schemas and three value conventions. Merge them raw and you get duplicate accounts and broken groupings.
HubSpot and Salesforce validate picklist values on import. One unrecognised value and the row errors out or imports blank, deep into a job you thought was done.
Every new export gets the same hour of find-and-replace in a spreadsheet. The effort resets to zero on every file.
Map the work once. Every file after the first one is a few seconds of review.
Define your target schema and column mapping a single time. Every future file from the same source applies it automatically, so the second run takes seconds.
The AI resolves typos, capitalisation, abbreviations, and language variants to one canonical value in a single pass. You review every mapping before it applies.
Mixed EU and US date formats are unified to ISO automatically, so date fields stop breaking imports and reports.
Save a full normalisation setup as a preset per data source, so the whole team cleans files the same way every time.
Not just fuzzy search. Asphorem's AI matches picklist values semantically, across typos, abbreviations, different languages, and numeric range formats.
The moments where clean source data is the difference between a trustworthy number and a wrong one.
Different schemas, different value conventions. Normalise both exports to one canonical shape before they become one database.
Numbers that reconcile start with source data that uses one value for one thing. Clean the field values and the dashboards stop disagreeing.
Their export will not match your schema. Map it once and every future delivery is clean automatically.
A new property needs historical values from an old export. Normalise the old values to the new picklist before the import.
Three tools built for the exact files RevOps deals with every week.
Standardise picklist values, column names, and dates across every CRM export and data provider file.
Keep campaign source values consistent so attribution data stays clean when it reaches your CRM.
Share CRM exports with external partners or auditors without exposing personal data.
After your first file from a source, mapping setup takes a few minutes. You define which columns map to which targets, set the column types, and list your canonical picklist values. Save the mapping. Every subsequent file from that source applies it automatically with no setup required.
Yes. Saved mappings and presets are tied to your account and available to any team member logged in. Your team cleans files the same way, every time, without each person needing to redo the configuration.
Asphorem flags any values it cannot match to your canonical list before the file is exported. You decide whether to map them manually, add them to your canonical list, or leave them for review. Nothing slips through without your approval.
No. Asphorem works at the file level. You export a CSV from your CRM or data source, clean it with Asphorem, and import the result. No API credentials, no permissions to manage, no connection to maintain.