AI Training
Scale your product's intelligence with data ready to process. Feed your algorithms through the processing of unstructured sites.
What our clients say
Real results from companies using our platform
"Francisco and his team were wonderful to work with. Great knowledge base and skills for creating many Python web crawlers over an extended period of time. Communication was thorough and timely, as well. I look forward to continuing to work with him."
Jordan S.
Operations Manager, The Policy & Research Group
"Francisco and his team are incredibly knowledgeable, and they are also very flexible to accommodate changes. The value that AUTOScraping has been bringing to us over the years has become an essential part of our operations."
Alfredo M.
CEO, Abiboo
Key features
Everything you need to succeed
Source coverage agreed case by case
We define together which sites go into the dataset, with what criteria, and what volume. We can start with a small pilot, measure quality, and scale.
Cleaning before delivery
Each dataset is delivered clean: duplicates removed, normalized text, consistent encoding, ordered metadata. Your team does not spend time preprocessing.
Labeling according to your training schema
If your model needs pairs, classes, spans, bounding boxes, or another format, we apply it during extraction. We define the schema at the start and follow it in every delivery.
Delivery in the format your training pipeline consumes
JSONL, CSV, parquet, files by class, or directly to your storage. We define the destination at the start so your team can begin training without intermediate steps.
When to rely on us for training your AI
If your data science team spends more than 60% of their time cleaning malformed HTML code or devising ways to bypass blocks to scrape forums and news, it's time to delegate data acquisition.
How we help you
We provide the absolute pipeline for collection and transformation of information, structuring immense knowledge banks from forums, records, and papers that will serve as the foundational base for your next algorithm.
We define together what data your model needs and in what format.
We extract from the agreed sources and clean the data before delivery.
We apply the labeling schema you use: JSONL format, input-output pairs, structured columns, or whatever your training pipeline requires.
When you need more data (volume, domain, language), we add it without starting from scratch.
Frequently asked questions
Clarify your doubts about how our data process works.
Text (articles, documentation, forums, reviews), tables, full pages, multilingual content, images, PDFs, or scanned documents. The specific scope depends on your model's use case.
Yes, when labels can be derived from the source or from a schema we define together. For complex human labeling we evaluate it case by case depending on the project.
We apply deduplication, text normalization, and schema validation before each delivery. If the dataset has special quality requirements (class balance, minimum length, language), we apply them to the process.
JSONL, CSV, parquet, or files organized according to the structure your training pipeline expects. We define this at the start.
Yes. Many training projects start with a base dataset and then grow with additional batches (more sources, more domains, more languages). We run those cycles on a recurring basis.
Need to add engineers to your team instead of receiving ready-made data?
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We make sure that what happens on the web becomes your greatest asset. No detours: we get involved in your project so every step you take is solid and transparent.
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Experience
Proven by data
Response time
< 1 hora
Projects delivered
+350
Industries served
+15
Years of experience
+6
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