Synthetic Data Generation
Controlled, domain-specific datasets that close structural gaps in real-world data — designed for precision, not just volume.
Read moreFrom first-pass sourcing to preference labeling, we cover the full pipeline. Most clients start with one service and expand from there.
Controlled, domain-specific datasets that close structural gaps in real-world data — designed for precision, not just volume.
Read moreStructured knowledge elicitation from credentialed practitioners — physicians, attorneys, engineers — across 40+ specializations.
Read moreAnnotation pipelines, quality frameworks, and delivery tooling built to match your model architecture and training schedule.
Read moreIndependent benchmarking across accuracy, calibration, safety, and domain-specific competency — not just leaderboard metrics.
Read moreExpert-calibrated preference data and reward model training sets for teams working on human-aligned LLM fine-tuning.
Read moreLineage documentation, IAA scoring, and compliance-ready delivery for teams operating in regulated markets.
Read moreWe work as a data engineering partner. That means understanding your model before we design a single annotation task — and staying accountable to quality thresholds throughout delivery, not just at handoff.
We map your model architecture, domain coverage gaps, and quality benchmarks to build a precise data brief.
We recruit verified practitioners and design annotation schemas, interview guides, and QA rubrics specific to the task.
Two-tier review with IAA scoring and automated consistency checks before any data leaves our pipeline.
Structured format delivery with full lineage documentation. Ongoing iteration available as your model evolves.
Credentials checked before onboarding — not after a quality problem surfaces.
Synthetic data under differential privacy controls. Expert data anonymized by default.
Delivery in JSONL, Parquet, HF Dataset format or your custom schema.
Quality thresholds, turnaround windows, and volume commitments are written into every engagement.
Registered under Singapore law. Access to APAC expert networks and compliant cross-border data operations.
High-stakes sectors require annotators who can distinguish a correct answer from a defensible one. We staff for that distinction.
Clinical NLP, medical imaging annotation, and drug discovery datasets.
Contract analysis, regulatory Q&A, and jurisdiction-specific reasoning data.
Risk modeling signals, fraud pattern generation, and earnings interpretation datasets.
Sensor fusion labels, edge-case generation, and safety scenario simulation.
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