Don’t Let Your Data Hold Your Models Back

Why Ascend Changes Everything

Without Ascend

You're working with outdated training sets.

Without Ascend

Pipelines break in production.

Without Ascend

There's no lineage and no traceability.
AI & Machine Learning Without
the Mystery.

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.

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Use best practices from prototype to production

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.

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Unblock your ML team

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.

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Build ML pipelines faster with built-in AI

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.

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Trace every input,
trust every output

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.

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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.”

Seth Glickman
CTO at Biome
View Biome Case Study
ML-ready pipelines, built on intelligence

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.

Ascend UI - Data Pipeline Deployment Dashboard
01

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.

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Ascend UI - Automation Forms

DataAware™ Automation Engine

Ascend’s automation engine uses rich metadata to orchestrate pipelines — managing dependencies, triggering tasks, and supporting custom event-driven workflows.

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Ascend Agentic Engineering experience in the UI

Integrated AI Agents

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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Acend UI - Data Pipeline Deployment DashboardAscend UI - AutomationsAscend UI - Agentic Data Engineering Experience

Try it out. Your future self will thank you :)