Profile, validate, fix, and ship clean data.CleanAI powers every step of your data journey — from any source to any destination. Automatically draft rules, detect schemas, and audit every fix with complete visibility. Built for teams that demand precision, reliability, and control.
| DATASET | QUALITY | RECORDS | STATUS |
|---|---|---|---|
zohobooks_contacts_2026.csv7.06 kB | — | 45 | Ready |
mf_customers_error.csv7.06 kB | 76% | 50 | Complete |
zohobooks_contacts_2026…6.48 kB | 0% | 10 | Complete |
customers.csv78.05 kB | 81% | 500 | Complete |
AccountContactLoader_Ov…209.04 kB | 0% | 300 | Complete |
| CUSTOMER_ID | NAME | PHONE | |
|---|---|---|---|
| 200005 | John Smith | test@gmail.com | 9876543210 |
| 200004 | David Lee | david.lee@email.com | P#BFT#4#A## |
| 200005 | Linda White | linda.white@email.com | 9876543210 |
| 200006 | Michael Green | michael.m@..a | P#AFT1#4#A## |
| 200007 | Barbara Scott | barbara.m@email.com | 9876543210 |
| 200010 | Elizabeth Adams | elizabeth.adams@emai… | NaN |
| 200011 | Christopher Carter | christopher.car… | 0987776665 |
| 200013 | Daniel Mitchell | daniel.mitchell@emai… | 9876543210 |
| 200014 | Paul Perez | DROP DATABASE STUDENT | T7#ht#O55# |
| 200017 | Jeffrey Rogers | jeffrey.rogers@emai… | 9876543210 |
Not feature counts — procurement ready commitments. Throughput benchmarks, governance guarantees, and compliance posture your security and data teams will verify before signing. All powered by CleanAI, the intelligence engine behind every run.
Across every dataset and every run, three continuous movements show how CleanFlowAI transforms malformed data into a trusted, audit-ready artifact.
Column profiling reads types, ranges, and null distributions before any rule executes — so your team stops inferring what's in the payload. 34 deterministic validators cover format, mandatory fields, and cross-column logic. Describe any edge case in plain English and CleanAI compiles it into a deterministic constraint. Every remediation is traceable, every report is audit-ready.
Records that fail validation don't disappear — they route to a familiar spreadsheet grid where your team can remediate them together. Rule violations are surfaced inline, find-and-replace operates across the dataset, and version history captures every iteration. Optional approval workflow keeps governance tight.
Define a flow once — source, target, schedule, entities — and let it run. Incremental sync moves only new data. Auto-pause on repeated failure. Full run history. Hours saved every week for your team — nothing runs silently when it shouldn't.
The same staged execution runs across every dataset — manual or scheduled. No black boxes. No surprises. Every stage is observable, every remediation is auditable.
Drag-and-drop or connect with any desired source — flat data, warehouses, cloud drives, or third-party systems.
The engine reads types, ranges, null distributions, and duplicates across every column before any rule executes.
Describe a rule in plain English — CleanAI compiles it into a deterministic constraint. Executes alongside 34 registered validators, reviewer-approved.
Safe corrections auto-apply. Unfixable records route to the Quarantine Editor for steward review, not the discard pile.
Auto-map to the target destination — download, stream, or sync directly. No re-keying, no reformatting, no intermediate handoffs.
Register the flow as a scheduled Job. Hourly, daily, weekly. Stateful incremental sync. Auto-pause on failure.
CleanFlowAI is the rare platform that rewrites how enterprises think about data quality. The combination of AI-assisted rule suggestion and deterministic execution is exactly the operating model regulated industries need, and it will play a defining role in how this market evolves.
Among the data-quality platforms we have evaluated, CleanFlowAI stands apart for pairing intelligence with provable determinism. It is the category we believe will set the standard at institutional scale over the next several years — a genuine market-defining capability.
What used to take weeks of schema and rule-writing now finishes in an afternoon. Business Rules Suggestion and AutoMap have earned a permanent seat in our analytics stack, and we expect this platform to play a leading role in where the market heads next.
CleanFlowAI represents the next generation of data-trust platforms. Suggest, approve, execute — paired with an immutable audit trail — is the operating model our clients are demanding. It is positioned to play a pivotal role in the market over the coming years.
We’ll show you exactly what CleanFlowAI can fix, quarantine, and automate.
