Custom web corpora for LLM pretraining, fine-tuning, RAG pipelines, and evaluation benchmarks โ ethically sourced, deduped, and delivered in ML-ready formats with full provenance metadata.
AI teams are the fastest-growing buyers of web data in 2026 - foundation-model teams, fine-tuning shops and RAG builders all need the same thing: large, clean, provenance-tracked corpora from publicly accessible web sources. We build those datasets to spec, with the documentation and metadata your governance and legal teams will actually accept - so your team spends time training models, not wrangling and cleaning data.
Curated web datasets on the topics that matter for your model โ legal, medical, financial, technical, retail, news, code, or any custom domain mix.
Every record carries URL, capture timestamp, content-type, robots.txt state at capture, and language detection โ built for AI Act and EU data documentation requirements.
Near-duplicate detection (MinHash/SimHash), language filters, toxic content filters, PII scrubbing options, and quality scoring for filterable corpora.
JSONL, Parquet, Apache Arrow, HuggingFace-compatible dataset structure. Direct delivery to S3, GCS, or Azure Blob โ ready to feed your training pipeline.
Pipeline embeds robots.txt state and detectable consent signals per record. Sites that disallow are excluded. Audit log retained for the lifetime of the dataset.
Datasets from 10M to 10B+ tokens. Incremental updates supported so your fine-tuning corpus stays current without re-crawling everything.
| URL | Domain | Title | Content (truncated) | Tokens | Language | Robots | Captured (UTC) |
|---|---|---|---|---|---|---|---|
| example-us-news.com/article-882... | example-us-news.com | Q3 retail trends report | Retail spending in the US rose 4.2% in Q3, driven by... | 1,847 | en-US | allowed | 2026-05-19 10:30 |
| us-legal-archive.gov/doc/2024... | us-legal-archive.gov | Public administrative law ruling | The petitioner argued that the administrative agency... | 3,201 | en-US | allowed | 2026-05-19 10:30 |
| technical-docs-us.io/api/... | technical-docs-us.io | REST API authentication guide | To authenticate with the API, send a bearer token in... | 942 | en-US | allowed | 2026-05-19 10:30 |
Typically covered: Publicly accessible US web sources matched to your requirements - domain-specific corpora (technical, legal, medical, financial), public forums, news archives, business sites and ยท Custom source lists
Build domain-specific or general-purpose pretraining corpora at the token scale your model needs. Output sized in tokens, not just records.
Curated, labeled, or instruction-format corpora for fine-tuning open-weight or proprietary LLMs on specific verticals.
Up-to-date document collections for retrieval-augmented generation โ refreshed at the cadence your product needs.
Held-out test sets, adversarial prompts, real-world distribution samples โ useful for model evaluation that goes beyond academic benchmarks.
A 30-minute call to confirm sources, fields, frequency and output schema.
A sample dataset delivered for your team to validate coverage and quality before scaling.
Scheduled jobs with monitoring, retries and reporting - backed by an uptime SLA.
We work strictly with publicly accessible web data and respect robots.txt directives at the source level. Each record carries provenance metadata. We do not include sources that explicitly disallow automated access via standard signals. For your legal review, we can provide audit logs and methodology documentation.
JSONL is the default for LLM training. Parquet for analytical workflows. Apache Arrow for in-memory pipelines. HuggingFace-compatible dataset structure available. Direct delivery to S3, GCS, or Azure Blob storage.
Yes โ configurable PII scrubbing (names, emails, phone numbers, SSN-pattern detection) can be applied as a post-processing step. Aggression level is tunable based on your use case and downstream model risk.
We've delivered corpora from 10M tokens up to multi-billion-token scale. Larger jobs ship in chunked deliveries with consistent schema. Incremental refreshes supported for keeping a corpus current.
Share the URLs and fields you need. We'll respond with a sample schema, a fast estimate, and a pilot timeline.