Cleanse, normalize, append, dedupe, household, and research — powered by ACE, our Artificial Intelligence Cleansing Engine. Bring whatever format your upstream system produces. ACE figures it out.
ACE runs the same audited, observable pipeline whether your dataset is a 50-row Excel file or a 50-million-row tape archive.
Standardize names, addresses, casing, and field formats. Detect and correct typos, missing fields, and structural breaks. International — including Canadian postal formats — supported out of the box.
Enrich records with addresses, phone numbers, emails, demographic, or behavioral attributes — from third-party data partners. Match rates audited and reported per pass.
Fuzzy-match duplicates across spelling variants, formatting differences, and partial overlaps. Choose your survivorship rules; ACE applies them with audit logs at every step.
Group records belonging to the same household, account, or beneficial owner. Reduce mail and message duplication by 20–40%, and keep relationship context intact.
Trace beneficial owners, surface unclaimed shares, locate missing shareholders, and reconcile records across multiple registers and transfer agents.
Have a data problem ACE doesn't ship with? We build custom processors against the engine — bring us a sample file and a description of "good," and we'll quote a build.
Every ACE job runs through the same observable pipeline. You see what changed, when, and why — every step recorded.
ACE infers schema, validates types, flags structural issues, and stages the raw data with full row-level lineage.
The cleansing engine runs configurable operators in parallel. Every transformation is reversible and logged.
Output as a clean file in your format of choice, or stream straight into a Talon outreach or voting campaign.
ACE was built when data came on tape cartridges and reel-to-reel machines. Today it runs the same way against API feeds and CSVs — with the same engineering rigor and the same audit trail.