Core Pipelines
Core Pipelines for Accountable Systems
Collection, annotation, curation, and alignment workflows designed around real-world model blind spots — not generic datasets.
01 · Data Collection
Sourcing the data your models actually need.
Off-the-shelf datasets rarely cover your edge cases. We source, generate, and gather data built around your model’s real-world blind spots — from scratch or at scale.
Custom data sourcing for image, text, audio, and video
Synthetic data generation
Crowdsourced data gathering: surveys, recordings, field photos
Licensed and web-sourced dataset acquisition
Human-in-the-loop data generation: scenario recording, prompt writing
Edge-case and long-tail data sourcing
02 · Data Annotation
Precision labelling across every modality.
Our annotators are trained per-project, not generically — with QA loops built around your accuracy thresholds.
Computer vision: bounding boxes, segmentation, keypoints, video/object tracking, LiDAR & 3D point clouds
NLP: text classification, NER, sentiment & intent tagging
Audio: transcription, speaker diarization, event tagging
Document & OCR annotation
03 · Data Curation
Clean, balanced, defensible datasets.
Good labels on bad data still produce bad models. We curate before and after annotation — so what you train on is deduplicated, balanced, and audit-ready.
Deduplication & outlier removal
Data cleaning & normalization
Dataset balancing & representation checks
PII/PHI redaction & anonymization
Multi-pass QA & inter-annotator agreement scoring
Dataset documentation & lineage tracking
04 · RLHF & Model Alignment
Human feedback, engineered for alignment.
We apply our full collection-to-curation pipeline to model outputs, not raw source data: sourcing prompts, ranking responses, and running the same rigorous QA we use everywhere else — purpose-built for fine-tuning and alignment work.
SFT prompt-response writing
Response ranking & preference labelling
Red-teaming & adversarial testing
Reward model data generation
Hallucination & factuality review
Multi-turn conversation quality evaluation
Constitutional AI / rule-based feedback
Need a core data pipeline for your model?
Contact us