Company Performance Metrics
CTRL Data is a deterministic data refinery that transforms messy, fragmented datasets into clean, structured, model-ready training data for AI teams. We help AI agent companies, pre-fine-tuning teams, and RAG-based startups accelerate model performance by delivering refined, labeled, schema-aligned datasets in formats like JSONL, CSV, and Parquet,
without the need for in-house data engineering.
Unlike generic labeling platforms, CTRL is built for “the messy middle” of data work: ingestion, normalization, deduplication, schema mapping, enrichment, QA, and evaluation. Our human-in-the-loop pipeline ensures high-quality datasets that reduce hallucinations, eliminate category drift, and improve downstream metrics for fine-tuning, RAG, and multi-turn conversational agents.
Companies work with CTRL when: - They have no internal data team - Their model quality is bottlenecked by noisy/incomplete data - They need structured datasets fast for fine-tuning or evals - They’re preparing for agent workflows and need consistent logging, labeling, and mixture control
CTRL is headquartered in Toronto with customers in North America and Europe.
