Agentic Data Engineering

Data pipelines that build themselves

Build and deploy your data pipelines with an intelligent platform that automates, optimizes, and accelerates every part of the data lifecycle.
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Built by data engineers. Trusted by data teams everywhere.

Ship data products faster with a unified data engineering platform

Platform Overview
How teams make the most of Ascend
Build Pipelines 10x Faster
Deploy, orchestrate, and maintain data pipelines with AI agents. Spend time building, not debugging.
AI Pipeline BuilderDescribe what you need in natural language — agents build the pipeline
Automated TestingAuto-generated data quality checks and regression tests
Self-Healing WorkflowsAgents detect failures and auto-remediate
Code-First ApproachFull Git integration with version control and CI/CD built in
Multi-Cloud OrchestrationSeamlessly move data across Snowflake, Databricks, BigQuery, and more
Intelligent SchedulingDependency-aware orchestration that optimizes execution
Multiply Team Productivity
Deliver data 10x faster at 83% of the cost of traditional tools. Give your team the leverage to focus on strategic initiatives, not pipeline maintenance.
Reduce Tool Sprawl Consolidate your data stack and eliminate redundant tooling costs
Performance Insights Real-time dashboards track pipeline health, cost, and team velocity
Team Scalability Onboard new team members in hours, not weeks, with agentic assistance
Enterprise Governance
Built-in compliance, audit trails, and role-based access controls
Agentic Adoption Drive safe and effective AI adoption for your team
Intelligent Optimization Ascend's DataAware automation intelligently eliminates unnecessary reprocessing
Governance Meets Autonomy
Control agentic behavior with intelligent guardrails while empowering teams to move fast. Define the rules, and let AI enforce them at scale.
Safety BoundariesDefine guardrails that agents respect — no unauthorized changes
Decision AuditingFull visibility into every agent decision
Data StandardsEnforce naming conventions, schemas, and quality rules automatically
Policy as CodeVersion-controlled governance policies that evolve with your org
DataOps Best Practices
Deploy data pipelines with CI/CD and GitOps workflows
Access Control
Fine-grained RBAC with environment-level isolation
From Questions to Insights, Instantly
Generate insights, visualizations, and reports using natural language. No code required — just ask and get answers from your data in seconds.
Natural Language QueriesConsolidate your data stack and eliminate redundant tooling costs
Auto-Generated visualizationsReal-time dashboards track pipeline health, cost, and team velocity
Instant Exports
One-click export or links to share directly with stakeholders
Smart SuggestionsAI recommends follow-up queries and deeper analyses automatically
Agentic AnalyticsGo beyond visualizations to deliver actionable insights and recommendations
Proactive AlertsGet notified of anomalies and trends before they become problems
Data Engineering
Build Pipelines 10x Faster
Deploy, orchestrate, and maintain data pipelines with AI agents. Spend time building, not debugging.
AI Pipeline BuilderDescribe what you need in natural language — agents build the pipeline
Automated TestingAuto-generated data quality checks and regression tests
Self-Healing WorkflowsAgents detect failures and auto-remediate
Code-First ApproachFull Git integration with version control and CI/CD built in
Multi-Cloud OrchestrationSeamlessly move data across Snowflake, Databricks, BigQuery, and more
Intelligent SchedulingDependency-aware orchestration that optimizes execution
Data Leader
Multiply Team Productivity
Deliver data 10x faster at 83% of the cost of traditional tools. Give your team the leverage to focus on strategic initiatives, not pipeline maintenance.
Reduce Tool Sprawl Consolidate your data stack and eliminate redundant tooling costs
Performance Insights Real-time dashboards track pipeline health, cost, and team velocity
Team Scalability Onboard new team members in hours, not weeks, with agentic assistance
Enterprise Governance
Built-in compliance, audit trails, and role-based access controls
Agentic Adoption Drive safe and effective AI adoption for your team
Intelligent Optimization Ascend's DataAware automation intelligently eliminates unnecessary reprocessing
Data Architects
Governance Meets Autonomy
Control agentic behavior with intelligent guardrails while empowering teams to move fast. Define the rules, and let AI enforce them at scale.
Safety BoundariesDefine guardrails that agents respect — no unauthorized changes
Decision AuditingFull visibility into every agent decision
Data StandardsEnforce naming conventions, schemas, and quality rules automatically
Policy as CodeVersion-controlled governance policies that evolve with your org
DataOps Best Practices
Deploy data pipelines with CI/CD and GitOps workflows
Access Control
Fine-grained RBAC with environment-level isolation
Data Analysts
From Questions to Insights, Instantly
Generate insights, visualizations, and reports using natural language. No code required — just ask and get answers from your data in seconds.
Natural Language QueriesConsolidate your data stack and eliminate redundant tooling costs
Auto-Generated visualizationsReal-time dashboards track pipeline health, cost, and team velocity
Instant Exports
One-click export or links to share directly with stakeholders
Smart SuggestionsAI recommends follow-up queries and deeper analyses automatically
Agentic AnalyticsGo beyond visualizations to deliver actionable insights and recommendations
Proactive AlertsGet notified of anomalies and trends before they become problems
How Ascend Helps:‍The TL;DR

The AI Data Engineering Platform (That Actually Understands Your Stack)

Build Data
Pipelines at Scale

Use code when you want it, clicks when you don’t. Ascend combines integrated AI agents and native GitOps for seamless team collaboration.

See How You Can Build
Ascend UI graph nodes and code editor
Automate Workflows Easily

Ascend automates orchestration using rich metadata and event-driven triggers so pipelines run only when needed, and custom logic is easy to build in.

See Automation In Action
Ascend Automation UI
Observe with Confidence

Monitor pipeline performance, trace lineage end-to-end, and debug faster with real-time, metadata-powered insights.

Book a Demo
Ascend UI - Observability
Optimize with Precision

Run faster, spend less. Ascend uses metadata and fingerprinting to cut unnecessary compute without sacrificing performance.

Experience Optimization
Ascend UI - Optimizations
Proven Results. Measurable Impact.
7x
Boost in team productivity
83%
Reduction in processing costs
87%
Faster data processing speed
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Biome Logo
Solved a 9-month problem in weeks using only 10 percent of the platform’s capabilities.

"Ascend is super intuitive and easy to use. In just a matter of weeks, we overcame a challenge that we'd been struggling with for over 9 months... We've only used 10% of the functionality so far, which is very promising in terms of what we can accomplish next."

William Knighting
Analytics Platform Lead
Reduced custom report delivery time from 2 weeks to just a single day. ​

With Ascend, we’ve been able to keep our data engineering team small and nimble, while attaining world-class results. That translates to more funds for other initiatives, and an outsized ROI.

Ed Barrientos
CEO at Brazen
Cut data platform delivery timelines by months, accelerating critical business initiatives.

"With Ascend, the tech just worked and the people just worked. The relationship with Ascend is fantastic, which makes our lives so much easier."

Ariscielle Novicio
SVP & Head of Technology
Transformed data processing to deliver faster, deeper insights and drive major business impact.

"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 of Biome

Let’s give your team their time (and sanity) back.

Upto
700%
Boost in team productivity

Free Up Analytics and Data Engineering Time​

Testimonial grid.
Intelligence at the Core

Ascend's Intelligence Core combines metadata, automation, and AI in a layered architecture that empowers teams to build pipelines 7x faster and cut processing costs by 83%.

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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.

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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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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.

Find Out More
Acend UI - Data Pipeline Deployment DashboardAscend UI - AutomationsAscend UI - Agentic Data Engineering Experience
Frequently Asked Questions
What's the difference between Ascend and traditional ETL tools?
How does Ascend automate data pipelines with AI?
How does Ascend help reduce the workload on data engineering teams?
How does Ascend help optimize compute and optimize cloud costs?
Is Ascend suitable for startups or only large enterprises?
What are some results companies have seen using Ascend?
How long does it take to get started with Ascend?
How much does Ascend cost compared to building in-house solutions?
What's Ascend's pricing model?
Do you provide migration assistance and professional services to migrate from legacy data platforms?
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