LLM Training Data for Foundation Models and Fine-Tuning
Large language models are only as capable as the data they learn from. Centric Labs creates the instruction-response pairs, domain-specific corpora, preference data, and evaluation datasets that AI labs and enterprises need to train, fine-tune, and align LLMs for production deployment. Our teams include researchers, subject matter experts, and trained linguists who produce the high-quality, nuanced training data that distinguishes a good model from a great one.
Training Data Across the Full LLM Development Lifecycle
Pre-training data: curated, cleaned, and deduplicated corpora for foundation model training. Supervised fine-tuning (SFT) data: expert-written instruction-response pairs for domain adaptation. RLHF and preference data: human rankings and comparisons for reward model training. Evaluation and benchmarking datasets: custom test sets for measuring model performance. Red teaming data: adversarial prompts for safety and robustness testing. Multilingual datasets: parallel and monolingual corpora across 30 plus languages.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
Domain-Specific LLM Data From Domain Experts
Generic LLM data produces generic models. Our domain expert teams create specialized training data for legal and regulatory AI, medical and clinical AI, financial analysis and advisory AI, software engineering and code generation, scientific research and technical writing, and customer service and conversational AI. Each domain team includes subject matter experts who verify accuracy and ensure the training data reflects real-world professional knowledge.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
Train Better LLMs With Better Data
Tell us about your model, your domain, and your quality standards. We will design a custom data creation pipeline and deliver a pilot dataset within two weeks.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
Ready to validate quality and security in a pilot?
We will scope a small, measurable dataset, define acceptance criteria, and stand up a managed team fast.