Reconciliation
Match records across two or more sources and see every break the moment it appears — keys inferred automatically.
AI copilot built in
Data validation · Reconciliation · Data quality
Validate anything.
Validate anything.
Miss nothing.
AI finds it — you confirm it. Human-in-the-loop by design.
Try it free for 7 daysFULL ACCESS
Connect CSV, Excel, databases & APIs — no code required
Reconciliation
500,000 rows × 200 columns**
reconciled in minutes.
- ✓Auto-detects the key — even composite keys
- ✓Any format, any source: files, DB, API, SharePoint, FTP
- ✓Every break & exception, flagged automatically
- ✓Not right? Fix it in plain English, then save & schedule
** Enterprise plan — throughput varies with data, format & connection.
No code. No automation engineer. No ticket.
Validates
Reconciliation breaks
Completeness
Uniqueness & duplicates
Format & validity
Anomalies
Schema drift
What it does
One platform for every data check
From reconciling two files to governing a whole catalog — the same engine does the counting, and AI proposes the rules. You confirm; it computes.
Data Quality
Score completeness, uniqueness, and validity, with anomaly detection and a grade you can track over time.
Data Profile
Understand any file's structure, distributions, and problem columns at a glance before you trust it.
Governance
Record ownership, sensitivity, and business domain for every dataset you connect, in one place.
Parse
Turn messy, inconsistent files into clean structured tables that are ready to validate.
Cross Reference
Reconcile three or more sources in a single pass — not just a pair — when one comparison isn't enough.
How it works
From raw files to a trusted result in three steps
01
Connect or upload
Drop in files or pick a saved connector — a database, an API, a spreadsheet. No pipeline to build. Don't see your connector? We're happy to add it.
02
Set the rules, or let AI draft them
Whatever you're validating, the rules are inferred for you. Tweak anything yourself, or just describe what you want in plain English — the AI copilot drafts the rules and refines them until the result is right.
03
Get results and reports
See matches, breaks, and a quality score — on demand or on a schedule, delivered to your inbox.
See it in action
Watch the AI work, live
Two everyday checks, start to finish — a reconciliation, and an instant data-quality score.
Reconciliation, liveConnect your sources, run the check, see every break.
Data quality, liveDrop a file — scored across 10 dimensions, with fixes.
Where it's used
The checks people ask for every day
Whatever tools moved the data, someone still has to confirm it's right — instantly, and often. That's exactly what this does, for anyone in data ops.
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QA & load validation
The load just finished — instantly cross-check for breaks before anyone builds on top of it.
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Environment & rule drift
Compare multiple environments and confirm the rules and accounts still match — even the ones edited by hand.
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Cross-system reconciliation
“Reconcile these two systems and find the breaks” — answered on demand, in minutes, no ticket.
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Profile & format checks
Profile any file, confirm the format is valid, catch errors, and see it in plain rows and columns.
The question everyone asks
Why not just use ChatGPT or Copilot?
It's the first thing people ask — so here's the honest answer. A chatbot is built for language, not exact math. The moment your data has to be right, three things quietly break: correctness, security, and repeatability.
| Web LLMCopilot / ChatGPT | AI DataValidator | |
|---|---|---|
| Correctness | ✕Can miscount or hallucinate | ✓Deterministic engine — exact |
| Data size | ✕One pasted file, size-limited | ✓Files, databases & APIs at scale |
| Security | ✕Sensitive data leaves your walls | ✓Isolated & private — self-host in your environment* |
| Repeatability | ✕A different answer each time | ✓Same rules, every run, scheduled |
| Audit trail | ✕None | ✓Every run logged with evidence |
| Rules | ✕Re-typed in each prompt | ✓Saved, versioned, reusable |
| Integration | ✕Can't reach your systems | ✓Connectors, scheduling, reports |
| Cost | ✕Per-token — climbs with every run | ✓Engine does the math — predictable |
AI proposes the rules. A real engine proves the numbers.
* Runs fully in your environment on the Enterprise (self-hosted / on-prem) plan. Hosted plans keep your data isolated per tenant and never use it to train a model.
From the founder
I spent years doing this by hand
For years I worked across data operations, business analysis, data quality, mapping validation, integration testing, and automation. The same task followed me everywhere: someone needed data checked — a load verified, two systems reconciled, a mapping confirmed — and it landed on me.
So I did it by hand. Spreadsheets, scripts, evenings spent tying out numbers — then doing it all again the next day. Automating any of it meant a ticket, an engineer, and a wait.
I built AI DataValidator to be the tool I always wished I had: one place to validate anything — no code, no dependency — and automate the checks that repeat.
RavindraFounder · Data Ops · BA · Data Quality · Mapping Validation · Integration Testing · Automation
Pricing
Simple pricing. Start free.
Every plan starts with a free 7-day trial — no card to begin. Cancel anytime.
Starter
$29 / user / mo
For an individual analyst.
- ✓All validation modules
- ✓File uploads (CSV, Excel)
- ✓AI copilot — rules in plain English
- ✓Auto keys, breaks & quality scores
Most popular
Pro
$199 / user / mo
For teams that run checks daily.
- ✓Everything in Starter
- ✓All connectors: databases, APIs, SharePoint, FTP
- ✓Scheduling & automated jobs with email alerts
- ✓Saved rulesets, workspace & history/analytics
- ✓Higher run & volume limits
Enterprise
Custom
For regulated & large teams.
- ✓Free 3-month guided pilot
- ✓Runs in your environment
- ✓SSO, roles & governance
- ✓Volume pricing & security review / DPA
- ✓Custom features built to your requirements
- ✓Priority support & onboarding
Questions
Answers before you ask
Browse the common ones — or ask our AI assistant anything about the product.
What makes AI DataValidator different?
It's built by someone who lived the problem — years in data ops, BA, data quality and reconciliation. It's a tool, not a platform: self-serve, no code, no approvals. The AI drafts the rules while a deterministic engine computes every number exactly — and it gets smarter the more you use it.
Is my data secure?
Yes. It runs in your own environment with per-user isolation, your data is never used to train any model, and every run is logged so you keep a full audit trail.
What sources and formats does it support?
CSV and Excel files, plus databases, data warehouses, cloud storage and REST APIs — through saved connectors. Point it at a source or drop in a file; there's no pipeline to build. And if the connector you need isn't in the package yet, just tell us — we're happy to add it.
Do I need to write code or SQL?
No. Keys and validation rules are inferred automatically. Adjust anything in the interface, or ask the AI copilot to draft the rules for you.
Can my whole team use it, and who sees the data?
Yes. Everyone gets their own isolated workspace, and admins control roles and access from a Users & Roles panel — so people only see what they should.
Can I track quality and breaks over time?
Yes. Every run is recorded, so you can watch data-quality scores and reconciliation break-rates trend against a baseline — not just a one-off result.
Can I export or download the results?
Yes. Download matched rows, breaks and quality reports to share or archive — your results are never locked in.
What happens after the free trial?
Your trial access pauses, but your saved connections and rules stay intact — nothing is deleted. Just reach out to keep going.
Can I import and reuse my validation rules?
Yes. Save rules as reusable rulesets with tolerances, version them, and apply the same checks across datasets every run.
Still have a question? Ask our AI