Products · DataOps

Your best dataset is already in your logs

Ingestion, cleaning, versioning and dataset management workflows that turn raw data into training-ready assets — next to the compute that consumes them.

Ingestion & cleaning

Managed pipelines for structured and unstructured data — dedupe, filter, normalize at scale.

Annotation workflows

Human-in-the-loop labeling pipelines with quality gates, ready for RLHF and evaluation datasets.

Versioning

Every dataset snapshot is versioned and reproducible — know exactly what each model trained on.

Dataset management

Searchable catalogs with lineage, access controls and one-click export to training clusters.

From production logs to training data

Paired with Token Factory’s Data Lab, DataOps turns inference logs into curated fine-tuning datasets: explore, filter, annotate, and feed the next model iteration — all in one governed platform.

  • Production-log exploration and filtering
  • Curated dataset export to post-training
  • Governed access with audit trails
Abstract sketch of logs flowing into curated datasets

Start your journey today

Tell us about your workload — an engineer, not a sales bot, will get back to you within one business day.