High-Quality AI Training Data Services - Collected, Labelled & Evaluated for Models That Perform

Talk to us

10B+ Data Points Delivered for AI Training

Powering AI Innovation Across Every Domain & Modality.

TagX data solutions


Great AI isn't built on algorithms. It's built on the data they learn from.

Up to 80% of AI development time is spent on data preparation - not model building. That's not a bottleneck. That's where the real work happens. The quality of your training data determines whether your model generalises or guesses, whether it responds accurately or hallucinates, whether it passes evaluation or fails in production.

TagX operates across the full AI data lifecycle - collection, curation, annotation, human feedback, and model evaluation. We don't just source datasets and deliver files. We build the ground truth data infrastructure your model depends on - with human-in-the-loop quality controls, domain-specific expertise, and the operational scale to keep pace with your training cycles.

Contact us

The full-cycle AI data capabilities that makes TagX different.

TagX data solutions

Human-in-the-Loop Data Annotation

Automated labeling gets you volume; human-in-the-loop gets you accuracy. TagX combines both, using expert human reviewers to validate, correct, and quality-check every label before it enters your training pipeline.

TagX data solutions

RLHF & Human Feedback Pipelines

Reinforcement Learning from Human Feedback aligns models with real-world expectations. TagX builds structured RLHF pipelines to collect, rank, and deliver high-quality human preference data.

TagX data solutions

Model Evaluation & Benchmarking

Uncover real model weaknesses before deployment. TagX creates task-specific evaluation datasets and adversarial test sets that challenge your models, so you know exactly what needs improvement.

TagX data solutions

Multi-Modal & Domain-Specific Datasets

From text and video to specialized healthcare or legal data, TagX builds custom datasets reflecting your exact operational context—never generic web scrapes repackaged as training data.

Your Data Pipeline for Reliable Web Intelligence

Schedule a call

Better data inputs. Superior AI performance.

Every AI model has a specific data requirement behind it, and the gap between a model that works in testing and one that performs in production is almost entirely determined by the quality of those inputs.
These are the six data services TagX delivers across the full AI training lifecycle.

training corpus
Live extractionTraining Dataset Collection
SampleDomainTokensStatus
doc_00128.txtFinance2,480Verified
doc_00129.txtLegal3,110Verified
doc_00130.txtMedical1,920Review

From Requirement to Delivery, Four Steps. Zero Complexity

01

Scope Your Custom Data Blueprint

Tell us your target data sources, required attributes, volume, and frequency. Whether you need a massive one-off scrape or live streams, we help refine your requirements into a bulletproof data brief tailored to your exact business logic.

02

Validate with Live Sample Data & Custom APIs

We don't expect you to buy blind. We deliver a high-fidelity sample dataset in your preferred format (CSV, JSON) or set up a test API endpoint so your engineering team can instantly validate data quality, structure, and coverage.

03

Seamless Integration & Setup

Once you approve the sample, we finalize the scope, timelines, and SLAs. We map out the data delivery pipelines or configure your customized API access, making sure everything aligns perfectly with your technical infrastructure.

04

Production & On-Demand Data Delivery

Our team handles the heavy lifting—managing proxies, bypassing anti-bots, and maintaining the infrastructure. We deliver clean, structured data directly to your cloud storage (S3, GCS) or serve it dynamically via production-ready APIs on your precise schedule.



Trusted by AI teams

“We train models on a lot of web-sourced text and TagXData is basically our data feed now. We pick the sources, they push structured data to our S3 bucket, we don't think about it. My engineers actually build models again instead of patching Playwright scripts at midnight. Can't overstate how much that's changed the week.”

AI and cloud technology group

FAQ

Frequently asked questions

TagX supplies large-scale, structured datasets for training and fine-tuning models, including text corpora for language models, image data for computer vision, and multi-modal sets across domains like healthcare, legal, and more. We build custom corpora from publicly available web sources, map them to your schema, and can add human-in-the-loop annotation, RLHF pipelines, and model evaluation when your project needs labeled data.

Yes. We build custom corpora scoped to your domain, source list, and model objectives rather than reselling a fixed dataset. You define the sources, fields, languages, and volume; we handle crawling, extraction, QA, and schema mapping so the output matches your training pipeline. Datasets can be delivered as a one-time corpus or an ongoing refresh feed, and we offer a free sample so you can validate coverage before scaling.

Yes. We deliver ongoing refresh feeds that keep retrieval-augmented generation knowledge sources current, not just one-time snapshots. You can choose a recurring cadence with historical backfill, and receive deduplicated, cleaned, schema-mapped records ready for embedding and indexing. Delivery works via REST API or straight into cloud storage such as S3, GCS, Azure, BigQuery, Snowflake, or Redshift so new data flows into your pipeline automatically.

TagX delivers in the formats ML teams actually use: JSON, JSONL/NDJSON, CSV, and Parquet. You can pull data through a REST API or receive flat files, and we push directly to cloud destinations including S3, GCS, Azure, BigQuery, Snowflake, and Redshift. Records are mapped to an agreed schema so they load cleanly into your training, fine-tuning, or RAG workflow without extra reshaping.

Yes. Every dataset goes through deduplication, cleaning, and schema mapping as part of our managed pipeline, with QA before delivery. We remove duplicate and low-quality records, normalize fields into a consistent structure, and map everything to your agreed schema. For projects that require labeled data, we can add human-in-the-loop annotation and model evaluation so the corpus is ready for training or fine-tuning.

Yes. TagX collects only publicly available web data and operates a GDPR-aware, managed data-as-a-service pipeline. We handle crawling, anti-bot handling, extraction, QA, and delivery, and can provide a Data Processing Agreement and NDA on request. This lets AI and ML teams source large training corpora with clear documentation of how the data was gathered and structured.
Still have questions? We usually reply within a day.Let's talk

What Makes TagX the Right Data Partner for You

From the first consultation to ongoing delivery, everything is completely managed by our engineering team.

TagX Global Data Scale

100M+ Websites & Global Reach

Extract data at scale from websites across the globe. We bypass regional restrictions to deliver localised, market-relevant intelligence wherever your business operates.

TagX Seamless Data Integration

Reliable Quality & Seamless Integration

Receive validated, structured data ready to plug directly into your systems or APIs — no manual cleaning, no reformatting, no friction.

TagX 24/7 Managed Support

24/7 Continuous Streams & Expert Support

Our pipelines run around the clock with proactive monitoring and dedicated support, so your data streams stay live, accurate, and uninterrupted.

Get in Touch

We respect your privacy — see our privacy policy. No spam, just a tailored response.

close