Classification & Tagging
Categorization, taxonomy labeling, intent and entity tagging.
Data
Data Annotation & Labeling.
Training data, managed end-to-end — classification, preference data, instruction data, and multilingual, with built-in QA.
Overview
Delivered data, not a marketplace to manage.
From raw datasets to model-ready signal, we produce and verify training data with vetted reviewers and built-in quality assurance. You receive delivered, QA-checked data — not a marketplace of contractors to coordinate yourself — all managed under Intellego with confidentiality controls.
What's included
The full post-training data menu.
Dataset Review & Cleanup
Audit, de-duplicate, correct, and validate existing datasets.
RLHF & Preference Data
Pairwise comparisons, rankings, and scored human judgments.
Instruction & SFT Data
High-quality prompts and gold-standard responses for fine-tuning.
Multilingual Annotation
Native-fluency labeling across languages and locales.
Built-in Quality Assurance
Second-level QA and rubrics on every batch, with reporting.
How it works
Managed delivery, powered by Intellego.
01 — Scope & rubric
We define the task, the rubric, and the quality bar with your team before any work begins.
02 — Vetted reviewers
Domain-matched, trained reviewers are assigned and calibrated through the Intellego engine.
03 — Managed workflow + QA
Work runs under managed workflows with second-level QA and client-specific rubrics on every batch.
04 — Reporting & delivery
You receive QA-checked output with measurable accuracy reporting — not just raw labels.
Start with a controlled pilot
See it on your data.
Run a scoped pilot, measure the quality, then scale once it's proven.