Ascend versions every pipeline, tracks transformations, and provides complete lineage across your data workflows. That means no black boxes — just fully traceable, reproducible inputs your ML team can trust
Training Data That Never Falls Behind
Ascend keeps your training sets and features fresh by automatically detecting when upstream data changes and triggering updates. Your models always train on current data — without manual refreshes or pipeline babysitting.
Most ML workflows break when they move from notebook to production. Ascend bakes in versioning, testing, orchestration, and monitoring — so pipelines are production-ready from the start. You get the flexibility to experiment and the structure to scale.
Ascend gives machine learning teams the power to build and run their own pipelines — without waiting on other teams. No handoffs. No Airflow. No delays.
Write, debug, and document your pipelines faster with Ascend’s integrated AI. Get inline code suggestions, debugging assistance, and auto-generated documentation — so your ML engineers can iterate quickly and deploy confidently.
Ascend automatically versions pipelines and tracks lineage at every step — from raw data to final model input. Understand exactly how code and data change, transform, and impact your models, so you can confidently deploy to production.
Reduced custom report delivery time from 2 weeks to just a single day.
“Ascend has transformed our data processing capabilities, allowing us to deliver valuable insights based on more data, more rapidly. It has been a game-changer for our business.”
Ascend’s Intelligence Core brings clarity and control to machine learning workflows. By combining metadata, automation, and AI, it ensures versioned, traceable pipelines that scale from prototype to production — giving ML teams confidence in every input and acceleration at every stage.
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Unified Metadata Collection
Ascend tracks data, code, and user actions in a unified metadata layer — powering automation, observability, and auditability through the entire data lifecycle.
Let AI do the tedious parts of data engineering — Ascend’s context-aware agents suggest code, explain logic, generate docs, and even automate steps on your behalf.
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