Turn messy files into clean, trusted data, automatically.
Ingest AI turns messy supplier files into validated, system-ready data, nothing invented, nothing dropped, every transformation traceable.
Two Ways to Work With Us
Choose the model that fits how your data and systems operate today.
Try It on Your Own Data
For teams that want to test on their own supplier files before committing - no integration required.
- Start free from the Azure Marketplace
- Upload your supplier spreadsheets and exports
- Get validated, standardized output back
- Every exception clearly flagged - nothing invented
- No access to your internal systems required
System-to-System Integration
For organizations that need continuous, automated supplier-data processing inside their workflow.
- Direct integration with PIM, ERP, or internal tools
- Automated ingestion and structured output
- Schema enforcement and validation at scale
- Guided onboarding to configure your pipeline
- Full auditability and long-term reliability
What customers say
Trusted by data-driven teams
Ingest AI cut our annotation data preparation time by 80%. Files that used to require manual reformatting before we could even start are now processed and ready automatically.
Emrah Solhan, Co-Founder
Deep Annotations
We source from 160+ suppliers, every file came in differently. Ingest AI normalized everything automatically. No manual cleanup, no data errors making it into the system.
Clifford Ondara, Managing Director
Vanilla Steel
We stopped spending hours manually cleaning data. Ingest AI handles the normalization automatically, the output goes straight into our system.
Fabian Lindner, Co-Founder
Cleverep
Not another AI tool.
A data guarantee.
Most tools "help" with data. We turn messy supplier files into production-ready, validated data - every value checked against the source, anything uncertain flagged, never silently changed.
They can chat about your data, maybe write a script. But they guess, hallucinate, and leave you to verify everything manually.
- ✕ Hallucinate values that look plausible but aren't real
- ✕ Silently drop rows when context windows overflow
- ✕ No validation pipeline , you're the QA team
- ✕ Different output every time you run the same file
We don't chat about your data, we transform it. Deterministic, validated, complete. Every row accounted for, every value checked against the source.
- ✓ Every output value traces back to the source
- ✓ Row-level completeness checks catch dropped data
- ✓ Built-in validation before delivery
- ✓ Consistent, reproducible results at any scale
Powerful: if you have a cloud engineering team, months to deploy, and budget for custom model training. Built for tech companies, not ops teams.
- ✕ Require cloud infrastructure setup & maintenance
- ✕ Weeks of model training per document type
- ✕ Need developers to build integration pipelines
- ✕ Per-page pricing adds up fast at scale
Upload your messy supplier files. Get clean, structured data back. No infrastructure. No training. No engineering team required.
- ✓ Works in minutes, not months
- ✓ Self-service or enterprise API: your choice
- ✓ Handles supplier catalogs, price lists, and order files
- ✓ Predictable pricing, no surprise bills
Great at deduplication and formatting: if your data fits their rigid templates. Falls apart the moment files get messy, inconsistent, or unstructured.
- ✕ Can't handle unstructured or semi-structured data
- ✕ Brittle rules break on format variations
- ✕ Manual configuration for every new source
- ✕ No intelligence: just pattern matching
Understands messy, real-world supplier data: variant formats, inconsistent headers, mixed structures. Adapts to the chaos, delivers the order.
- ✓ Intelligent parsing across any supplier format
- ✓ Learns structure from context, not rigid rules
- ✓ One tool for Excel, CSV, and mixed formats
- ✓ AI-powered with human-grade accuracy
Handy for formula help and basic cleanup. But they live inside your spreadsheet, limited to one file at a time, no cross-format understanding.
- ✕ Confined to a single spreadsheet context
- ✕ Can't ingest multiple sources or non-tabular inputs
- ✕ No batch processing or pipeline capabilities
- ✕ Fixes symptoms, not the data pipeline
From raw, messy supplier files to clean, validated, integration-ready data. Not a feature inside another tool, a dedicated pipeline that replaces the manual chaos.
- ✓ Batch process hundreds of files at once
- ✓ Handles catalogs, price lists, and order files in one run
- ✓ API-ready output for direct system integration
- ✓ Replaces manual work, not just assists it
Try it on your own supplier data.
Clean output, in minutes.
Run it yourself on your real data.
How it works
Three steps to reliable, validated data.
Import files
Supplier spreadsheets, catalogs, and exports - in whatever format they send.
Common issues
- Column drift & inconsistent headers
- Mixed units and currencies
- Missing fields & messy rows
Standardize + validate
Map to your schema, normalize values, and run checks.
Pipeline
- Schema-aware mapping
- Unit/currency normalization
- Value cleanup (dates/IDs)
- Business rule validation
If data isn’t in the file, Ingest AI doesn’t fill it in - it flags it for review.
Deliver output
System-ready dataset + exceptions + change summary.
Deliverables
- Clean schema + consistent naming
- Validated critical fields
- Explicit exception list
- Traceable transformation summary
🛡️ Data integrity by design
AI is used to interpret structure - never to invent values. Every output value is either traceable to the input or explicitly flagged.
Your documents stay yours.
Always.
We understand that enterprise documents contain sensitive information. Here is exactly how we treat your data — before, during, and after processing.
Processing stays in the EU.
FAQ
Is our data safe with you? What happens to our files?
Your data is processed under a strict protocol on EU infrastructure, kept isolated to your own account, and never used to train or improve any model. Nothing is shared with third parties.
Input files are retained only as long as needed to process them and are deleted on a defined schedule after that. We sign an NDA before any files are exchanged, and a Data Processing Agreement (DPA) aligned with GDPR requirements is available for your legal team before you start.
EU infrastructure · Per-account isolation · NDA + DPA availableAre you GDPR compliant?
Yes. Ingest AI is a German-registered company (Berlin) running entirely on EU infrastructure. Data handling is designed to be GDPR-aligned by default, not as an afterthought.
Concretely: your data is processed only for the purpose you send it, kept within the EU, never used to train models, and isolated to your own account. A full Data Processing Agreement is available before you send us a single file.
German entity · GDPR-aligned DPA · No cross-border data transferHow does this integrate with our ERP or existing systems?
Output is delivered as clean, structured data - JSON, CSV, or Excel, or whatever format your system expects. You don't need to change anything on your end to receive it.
If you want a direct API integration (for example, pushing structured output into your PIM, ERP, or a custom system), that's part of the paid plan's guided onboarding. The pipeline connects to your system, not the other way around, and we scope the integration honestly before you commit.
JSON · CSV · Excel · API integration on paid plansHow do we get started, and how fast can we see results?
Start with the free trial from the Azure Marketplace. You run it yourself: answer a short setup questionnaire, upload your own supplier files, and get structured output back - no call with us required to see whether it works on your data.
When you move to a paid plan, the first weeks are a guided onboarding where we refine the pipeline to your suppliers and edge cases, and connect it to your systems if needed. You're using it live throughout, with anything uncertain flagged for review while it hardens.
Self-serve trial · Guided onboarding on paid plansWe have an internal data team. Can't we just build this ourselves?
You can - but it takes longer than expected and costs more than it looks. The part that usually gets underestimated is not the extraction itself, but the validation layer: what do you do when a supplier sends a format you've never seen? What catches data that gets silently dropped at the intake stage?
Ingest AI's core is exactly that auditing layer - built to handle supplier-file chaos at scale, across inconsistent formats, suppliers, and languages. Your team's time is likely better spent on analysis and decisions, not maintaining parsing rules for every new supplier format that arrives.
We're also happy to work alongside your internal team rather than replace them.
Built-in validation · Catches dropped data · Audit trail on every runHow do I know the output is actually accurate? What about AI mistakes?
This is the question we take most seriously. The pipeline is built on rule-heavy, constrained extraction - not open-ended prompting. Every extraction passes through defined validation rules before output is delivered. If something doesn't meet the validation threshold, it's flagged, not silently passed through.
The design principle is simple: the pipeline doesn't invent data. It extracts what's in the file, validates it against rules, and returns it - and what it can't extract with confidence, it tells you. Every value either traces back to your source or comes flagged for review.
You don't have to take our word for it - run your own files through the free trial and check the output against the source before you pay for anything.
Constrained extraction · Validation rules · Nothing silently changedWhat file types and formats do you support?
Incoming supplier data in the messy, real-world formats it actually arrives in: Excel and CSV exports, supplier catalogs, price lists, and order files, including supplier PDFs and mixed-format batches where every file looks different.
If you're not sure your format is covered, the fastest answer is to run a sample through the free trial and see the structured output for yourself.
Excel · CSV · Supplier catalogs · Multi-language · Multi-schemaWhat does it cost?
There's a free trial so you can test it on your own data first, then a paid plan billed through the Azure Marketplace on your normal Azure invoice - no separate procurement or invoicing from us.
The paid plan includes a base volume, with usage-based pricing above it. Larger or more complex setups - unusual formats, high volume, custom integrations - are handled through a tailored offer we agree with you directly.
Free trial · Marketplace billing · Usage-based + custom offersWe can't share our actual files - they're confidential.
That's a common situation and it doesn't block you. In the free trial your files are processed in your own isolated account on EU infrastructure, never used to train models, and covered by the same data-handling protocol as paid use.
We sign an NDA before anything is exchanged, and the DPA is available for your legal or compliance team to review upfront. Some teams also prefer to start with anonymised or synthetic files to validate the pipeline logic before using real data - that works too.
NDA available · DPA included · Synthetic data testing worksHow do we know it'll work on our specific files before we commit?
You try it yourself. The free trial lets you run a real batch of your own supplier files through the pipeline and compare the structured output against your source, line by line - before any paid commitment.
The trial gives you an honest signal on your own data. When you move to a paid plan, the guided onboarding then handles the remaining edge cases - investigating every exception and adding the validation each one needs - so accuracy improves as your suppliers and formats are dialed in.
Free trial on your data · No commitment · You validate firstSee it in action
Select a document type and see it structured.
MFGManufacturing— PDF supplier catalog▾
| ART.NR | BEZEICHNUNG | GEW.g | EP(EUR) | LT |
| M-0042 | Sechskantschr.ISO4017 A2 | 3.2 | 0.08EUR | 3-5Wt |
| M-0043 | Sechskantschr ISO4017 A4 | – | 0.14 € | 3-5Wt |
| M-0044 | MutterSechskantDIN934 A2 | 1.8 | € 0,04 | 1-2Wt |
| M-0045 | Unterlegsch.DIN125 Stahl verz. | 0.7 | 0,02€ | lgrd. |
| M-0047 | Gewindestift DIN913 45H | – | 0.06EUR | 8-10W |
Structure this document
| article_no | description | weight_g | unit_price_eur | lead_time | flag |
|---|---|---|---|---|---|
| M-0042 | Hexagon Screw ISO4017 | 3.2 | 0.08 | 3-5 days | |
| M-0043 | Hexagon Screw ISO4017 | null | 0.14 | 3-5 days | |
| M-0044 | Hexagon Nut DIN934 | 1.8 | 0.04 | 1-2 days | description inferred from merged text |
| M-0045 | Washer DIN125 | 0.7 | 0.02 | in stock |
LOGLogistics— Freight email▾
From: [email protected] Subject: Shipments batch 03/2026 AWB LH-990183 | Müller & Co. FRA→CDG 14.5 KG | Maschinenteile | DAP | ETA 15.03.2026 AWB LH-990184 (Schmidt Elektronik HAM to CDG) 2.3 kg, Platinen, EXW, arr. 16/03/26 LH-990186 BioMed BER→PAR 0.8KG Medikamente DDP eta:15/03/26 LH-990188 GlobalChem DUS→MRS 310KG Chemikalien ADR!! CIF 20.03.2026
Structure this document
| awb | sender | weight_kg | goods | eta_date | flag |
|---|---|---|---|---|---|
| LH-990183 | Müller & Co. | 14.5 | Machine parts | 2026-03-15 | |
| LH-990184 | Schmidt Elektronik | 2.3 | Circuit boards | 2026-03-16 | arrival vs. ETA unclear |
| LH-990186 | BioMed GmbH | 0.8 | Pharmaceuticals | 2026-03-15 | |
| LH-990188 | GlobalChem KG | 310.0 | Chemicals (ADR) | 2026-03-20 | ADR hazmat — compliance required |
WHOWholesale— Excel / CSV▾
| Art.-Nr. | Bezeichnung | Menge | ME | EP EUR | MwSt. |
|---|---|---|---|---|---|
| KAF-001 | Gastro-Kaffeemaschine XL | 5 | Stk. | 289.00 | 19% |
| KAF-002 | Kaffeemühle M-80 | 3 | Stück | 189 | 19% |
| REI-004 | Reinigungstabs 100er | — | Packung | 12.90 | 7% |
| KAN-010 | Kaffeebecher 300ml | 48 | Stück | 2.80 | 19% |
Structure this document
| article_no | description | qty | unit | unit_price_eur | vat_rate | flag |
|---|---|---|---|---|---|---|
| KAF-001 | Commercial Coffee Machine XL | 5 | piece | 289.00 | 0.19 | |
| KAF-002 | Commercial Coffee Grinder M-80 | 3 | piece | 189.00 | 0.19 | currency not specified in source |
| REI-004 | Cleaning Tablets 100-pack | null | pack | 12.90 | 0.07 |