AI & LLM TRAINING DATA

Corpora with receipts.
Not crawl dumps.

// THE SHORT ANSWER

We build custom training corpora from public web data — product catalogs, reviews, Q&A, domain text — prepared to training grade: near-duplicate deduplication with reported rates, PII scrubbed at collection, consistent JSONL schemas, and per-source provenance documentation aligned with the EU AI Act's training-data transparency requirements (applicable to general-purpose AI since August 2025). You specify domain, languages and volume; we deliver the corpus plus the paperwork your legal and diligence reviews will ask for.

Get free sample in 48h See delivery specs
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Volume: From ~1M to 100M+ records per corpus; sampled pilots available
  • Formats: JSONL/Parquet shards · datasheet + schema docs · dedup & provenance reports
  • Languages: English-first; major European and Indian languages on request
  • Refresh: One-time corpora, versioned refreshes, or continuous additions

The difference between a crawl dump and a training corpus is everything that happens after the crawl: deduplication (the web repeats itself relentlessly), PII removal (reviews leak names and emails), schema discipline (batch 47 must match batch 1), and — since the EU AI Act's GPAI obligations took effect in August 2025 — documentation of where every source came from. Our AI-ready data checklist covers the full standard.

We deliver against that standard by default. One AI client closed an investor diligence question with exactly this paperwork — 38M documented records, provenance included. The corpus you can defend is the only corpus worth training on.

WHAT'S INCLUDED

Training-grade preparation,
documented at every step.

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Domain-specific sourcing

Commerce, food, travel, real estate, local business — corpora scoped to your model's actual job, not generic web text.

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Near-duplicate dedup, reported

MinHash-class fuzzy deduplication with the rate in your delivery report — you see how noisy the source was.

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PII scrubbed at collection

Names, handles, emails, phones removed in the pipeline — personal data never enters the deliverable.

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Per-source provenance

Domain, collection window, method and access basis per source — the inputs your AI Act training-data summary needs.

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Training-ready formats

Clean JSONL shards, declared splits, schema docs and datasheets — load and go.

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Instruction & Q&A construction

Beyond raw text: structured pairs (product Q&A, attribute extraction targets) built to your spec for fine-tuning.

SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Training-corpus record (JSONL) with provenance — one document per line.
field value
text Product: Cotton kurta. Fabric is breathable and...
source_domain example-marketplace.com
collected_at 2026-05-14
lang en
pii_scrubbed true
dedup_cluster c_88421
license_basis public
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
DELIVERY SPECS

The details procurement asks for.

VOLUME From ~1M to 100M+ records per corpus; sampled pilots available
FORMATS JSONL/Parquet shards · datasheet + schema docs · dedup & provenance reports
LANGUAGES English-first; major European and Indian languages on request
REFRESH One-time corpora, versioned refreshes, or continuous additions
TIMELINE Documented pilot sample in ~1 week · full corpus 2–6 weeks by volume
PRICING Per-corpus, by volume × preparation depth; pilots priced separately
COMPLIANCE Public data only · TDM opt-outs respected · PII-scrubbed · EU AI Act-aligned docs · NDA-first

Every engagement is NDA-first and starts with a free sample — judge the data before any commitment.

THE HONEST COMPARISON

Why a data layer, not a DIY script or a rigid tool

In-house DIY Generic SaaS tool iWeb Data Scraping
Setup & maintenance You build scrapers, fight anti-bot, fix breakages weekly Rigid templates, breaks on site changes, slow support Fully managed — we build, monitor and fix, you never touch a proxy
Data quality Best-effort, no QA layer, silent failures Generic parsers, frequent gaps 99%+ field accuracy, QA-verified, monitored 24/7
Coverage Limited to what you can maintain Only supported sites Any public site or app, at scale
Compliance Your legal risk to manage alone Often opaque about methods ISO-certified, PII-scrubbed, NDA-first, documented
Time to value Weeks to months of engineering Fast but inflexible Free sample in 48h, production in days
WHO USES THIS

Built for the person
who owns the number.

ML ENGINEER · AI STARTUP

Fine-tune on your domain

Commerce-domain corpora that teach the model your vertical's vocabulary, attributes and edge cases.

HEAD OF AI · ENTERPRISE

Pass legal review the first time

Provenance documentation that answers 'where did this come from?' per source, in writing.

FOUNDER · AI PRODUCT

Survive investor diligence

The training-data question is now standard in AI diligence — arrive with the datasheet, like this client did.

RELATED:AI Agent & RAG Feeds →Enterprise Crawling →Legal guide →
FAQ

Before the first call.

Every delivery includes a datasheet (scope, collection windows, methods), per-source provenance (domain, window, access basis), the deduplication report (method and rate), the PII policy applied, and schema documentation — the artifact set that EU AI Act training-data summaries and enterprise diligence reviews draw on.

We collect public data, respect text-and-data-mining opt-out signals for corpus work, and bias corpora toward factual and structural content (catalogs, attributes, Q&A) over long-form creative expression. Per-engagement scoping documents the approach so your counsel reviews a method, not a mystery.

Yes — structured pairs are a standard request: product Q&A, attribute-extraction targets, review-summarization pairs and similar formats built to your task spec, with the same dedup, PII and provenance treatment as raw corpora.

Pilots start small deliberately: a documented sample (typically tens of thousands of records) in about a week, so your team can evaluate quality, run ablations and test the paperwork before committing to full volume.

Get a free sample dataset in 48 hours.