Your model is only as good as its answer key.

Human-generated AI training data and annotation

Editorial QA and data discipline trusted by regulated enterprises since 2009

HDFC Bank logo
TCS iON logo
ICICI Lombard General Insurance logo
Shopify logo
Zee5 logo
Max Life Insurance logo

What we deliver

Original copywriting for LLM training: conversational data, instruction-style content, domain writing. Written by trained writers, not scraped, not synthetic.

Handwriting image sets in English and Indian languages, paired with verified ground-truth transcription and translation, delivered as structured, machine-ingestible manifests.

Human-in-the-loop review of extractions, data labeling, annotations, and model outputs. Every record eyeballed before it ships.

Lawful acquisition, de-identification protocols, and transfer documentation for EU and US requirements. Exclusive datasets come with rights assignment, in writing.
Human-verified ground truth for AI training data

Why an editorial company for training data

Because training data is a quality problem wearing a volume costume.

We have run editorial QA on regulated BFSI content since 2009. Applying that discipline to ground-truth data is not a pivot. It is a shorter commute.

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Editorial QA discipline applied to AI ground-truth data
Discuss your AI training dataset with LexiConn

Who buys this

Data annotation platforms, AI labs, and ML teams that need English and Indian-language human data with provenance they can show a regulator. Tell us what your model needs to learn.

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About LexiConn

LexiConn is a B2B content operations agency founded in 2009, headquartered in Mumbai with an office in Bengaluru. It has run editorial QA on regulated content for banking, insurance, and technology enterprises for over 15 years, including large-scale multilingual data projects. Its AI Training Data Services supply human-generated datasets to AI labs, data annotation platforms, and ML teams: original LLM copywriting, handwritten and multilingual datasets with verified ground truth, human-in-the-loop QA, and documented compliance and data rights.

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