Multilingual Text Data at Scale.
We collect, curate, and normalize vast multilingual text datasets with structured quality controls. Fuel your NLP and search pipelines with verified human intent.
Who This Is For
NLP & LLM Teams
Engineers requiring massive, culturally accurate text corpora to train foundational conversational models.
Search Evaluators
Relevance teams mapping user intent to structured query responses in regional languages.
Sentiment Analysts
Brands needing nuanced text collection to train toxicity, sentiment, and emotional classification algorithms.
Enterprise Knowledge
Internal AI teams organizing unmapped multi-language documentation into clean, queryable RAG datasets.
Generation, Curation & Normalization.
Delivering highly structured text payloads built from scratch by certified domain experts, entirely bypassing noisy automated scraping.
Prompt & Response Generation
- Multilingual instruction datasets
- Simulated multi-turn chat dialogues
- Creative writing constraints generation
- Factually grounded Q&A formulation
Corpus Curation
- Open-source document harvesting rules
- Proprietary offline text acquisition
- Domain-specific whitepaper / manual ingestion
- Rare-language textual archiving
Normalization & Cleaning
- PII scrubbing and entity anonymization
- Orthographic and typographical correction
- Format harmonization (HTML/PDF to JSON)
- Duplicate detection and payload shrinking
How It Works
A structured, auditable process designed for enterprise scale.
Schema Definition
Schema Definition
Mapping output structures, character limits, domain boundaries, and demographic sourcing rules.
SME Onboarding
SME Onboarding
Activating native writers and domain experts matched to the subject matter.
Execution & Scrubbing
Execution & Scrubbing
Data generated via controlled portals or ingested through PII filtration and deduplication.
Contextual Validation
Contextual Validation
Reviewers sample batches to verify cultural relevance and prevent quality drift.
Structured Hand-off
Structured Hand-off
Clean, structured text arrays delivered to your endpoint or storage.
Sourcing the Uncommon.
We deploy formal human intelligence networks to capture valid, conversational data in zero-resource languages like Somali, Pashto, or Guarani—where automated scraping fails.
Pipeline Governance
If a model trains on poisoned text, it outputs poisoned text. Our QA infrastructure validates structural and logical integrity before delivery.
- Automated Format Validation: Checking for broken delimiters, invalid JSON nesting, and orphaned tags instantly.
- Toxicity & Bias Filtering: Active review passes to ensure prompt generation adheres to standard "Helpful, Honest, Harmless" protocols.
- Semantic Diversity Checking: Preventing repetitive string submission and ensuring lexical rarity within generated data batches.
Structured Deliverables
Related Programs
Explore how we deliver language assets at global scale.
Building NLP infrastructure where none existed — 15 African dialects
Partnering with community-based linguistic experts to build glossaries, morphological rule sets, and annotation calibration for 15+ zero-resource African dialects.
Bilingual text dataset for multilingual speech models
Sourcing rare-language translators and building glossaries from scratch to supply validated bilingual text for speech model training.
Community-validated health translation in six East African languages
Building health terminology from scratch and validating translations through community health workers in six zero-resource East African languages.
Service FAQ
Common operational and scoping questions regarding this specific pipeline.
By generating it from human reasoning. We do not use automated scrapers for generation tasks. Participants are legally bound through NDAs and intellectual property transfers to author entirely unique content.
Yes. In curation and normalization workflows, we deploy automated regular expression passes combined with manual human verification to scrub names, addresses, ID numbers, and protected health information.
Absolutely. We can tag sentiment, dialect variation, demographic authorship details, topic categories, and emotional intent directly into the delivery JSON.
Yes. We source pairings of contributors to converse inside specialized chat portals natively in the target language to generate organic, multi-turn branched dialogue trees.
Fuel Your NLP Pipeline
Detail your volume targets and language splits. We'll map the optimal text generation execution route.