End-to-End Data for AI Companies

High-Quality Data
for AI Companies

End-to-End data provider — one-off datasets, scheduled refreshes, and real-time pipelines. Sourcing, annotation, and QA under one roof. One team, one accountable owner.

Trusted by AI Companies, Enterprises, Startups & Research Institutions

Why Us?

Ultra-Scale Data Delivery

From a few thousand records to billions — collection, cleaning, structuring, and expert labeling in one accountable pipeline.

Compliance First

Strict governance, security, and controlled processing — built around GDPR, CCPA, and NDA workflows on every project.

Fast Execution

Ready-to-ship datasets and pipelines in 7 days. Custom builds in 2 weeks to 3 months, depending on scale.

Ready Data or Built for You

Use our ready catalog or have us build custom data end-to-end — same team, same quality bar, whichever path fits.

We Offer End-To-End Data Solutions For AI Companies — From One-Off Datasets To Real-Time Data Pipelines

Custom Dataset

Bespoke datasets built to your spec — sourced, collected, cleaned, and annotated End-to-End by domain-expert reviewers.

Off-The-Shelf Datasets

Ready-to-use datasets curated and annotated for common AI tasks. A fast and efficient solution when you need high-quality data without long setup time.

See catalogue

Real-Time Data Pipelines

Real-time data ingestion from any website — products, listings, prices, content, or anything else on the open web — streamed into your stack the moment it changes.

Ongoing Data Pipelines

A continuous program that delivers fresh data and refreshed updates to your existing datasets — on the cadence your team actually ships on: weekly, monthly, or quarterly.

What we offer

Three ways to get the data your AI needs

Whether you need a fully custom dataset, a ready-to-license corpus, or expert humans labeling your existing data — we deliver to your specification.

01Custom data collection

Data built to your spec

Data collected on demand for almost any industry — pulled from open sources or sourced fresh from real people, whichever fits. Delivered in any format you need, annotated or raw, as a one-off batch or an ongoing real-time pipeline.

See our services

02Off-the-shelf datasets

Get data in days, not months

A growing set of ready-to-ship datasets and data pipelines across text, audio, structured records, and product data — covering most major verticals. Plug them into your stack in days, not months.

Browse the catalog

03Expert annotation

Domain experts, not crowdworkers

Domain experts across regulated and specialized fields labeling data to your guidelines — with multi-pass review, gold-set calibration, and per-batch quality reports on every delivery.

See industries we serve

How it works?

Share your dataset requirements

Tell us about your use case, data type, volume, and technical requirements.

Data sourcing and annotation

We either select suitable datasets from our existing catalog or build a custom dataset sourced and annotated specifically for your needs.

Quality control and data enrichment

Each dataset goes through multi-level quality checks, annotation review, and metadata enrichment to ensure consistency and accuracy.

Delivery and integration

You receive a clean, well-structured dataset in your preferred format, ready to be integrated into your AI pipeline.

Have Questions About Our Datasets or process?

Here are answers to the most common questions about working with DOT Data Labs.

Yes. We build datasets to your exact spec — sourced from the open web, public sources, or real human contributors — and annotated by domain experts to your guidelines. If we already have something close in our off-the-shelf catalog, we can also tailor a slice of it to your needs. Delivered as a one-off, a scheduled refresh, or a real-time pipeline.

Off-the-shelf datasets are delivered within 7 days. Custom datasets typically ship in 2 weeks to 3 months, depending on scale and annotation complexity.

Yes. We handle the full pipeline – sourcing, cleaning, structuring, labeling, and quality validation. Datasets are delivered model-ready.

We operate in alignment with GDPR and CCPA standards. We implement strict data governance, secure processing protocols, and full auditability across all projects.

Yes. We specialize in sourcing and engineering proprietary datasets tailored to specific model architectures, industries, and training requirements.

Case Studies

32M Science Q&A Dataset for LLM Training

Trusted By Clients
Who Value Data Security

High-Quality Data
for AI Companies

Trusted by AI Companies, Enterprises, Startups & Research Institutions