Trusted by leading data teams
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Build & deploy data pipelines with AI agents that understand your code, your runtime, your data, so they can build transformations, resolve failures, and cut warehouse costs by up to 83%.
But data teams spend 80% of their time on operational overhead: wiring together tools, debugging cascading failures, reprocessing entire tables because nothing in your stack knows what actually changed.
Sound familiar? That's because the tools aren't the problem. The context gap between them is.
Ascend combines a metadata foundation, event-driven automation, and AI agents to help you build pipelines and keep them healthy. Ship faster, deploy safer, and respond to changes with full context, without living in logs.
Agentic workflows that automate routine engineering toil
Unified metadata across ingest, transforms, orchestration, and observability
Event-driven automation for smarter triggering, retries, and backfills
Context-aware alerting that tells you what broke and why, not just that something broke.
AI Agents
Otto generates code, writes tests, and suggests fixes with full visibility into your lineage, dependencies, and cost.
Unified Metadata Collection
One source of truth for data, code, and pipeline state. No fragmented metadata across five different tools.
DataAware Automation Engine
Event-driven orchestration that watches for actual data changes. No schedules. No wasted runs.
The AI Data Engineering Platform (that actually understands your stack)
A code-first IDE with AI at its core. Write SQL or Python, connect to any source, and push to production with full version control.
Write transformations in the language you already know. Mix SQL and Python in the same pipeline without switching tools or contexts.
Inline code completions, context-aware suggestions, and natural language pipeline creation with Otto, Ascend's agentic copilot.
Flexible connectors and dynamic schema handling for lakes, warehouses, databases, APIs, and legacy systems.
Every change is versioned with built-in diffs, branching, and instant rollback so your data pipelines get the same rigor as your application code.
Ascend's DataAware engine replaces brittle cron jobs and hand-coded DAGs with intelligent, event-driven orchestration. Pipelines adapt as your data changes. No manual rewiring required.
Stop hand-coding orchestration graphs. Ascend builds and adapts your DAGs automatically as pipelines evolve, so dependencies never fall out of sync.
AI agents handle incident reporting, code reviews, commit messages, and documentation automatically.
Build lightweight agents in markdown and YAML that alert Slack on schema drift, open GitHub issues on failures, or page on-call through PagerDuty.
Built-in CI/CD with automated testing and validation. Schema changes are handled dynamically so upstream shifts don't cascade into downstream failures.
Observability is built into every layer of Ascend. No plugins, no config, no separate tools. From lineage to anomaly detection to AI-powered debugging, everything is visible from the moment your first pipeline runs.
Trace every data flow from source to destination with full change history and auditability. See exactly where data comes from and what it affects downstream.
Define validation rules at any point in the pipeline. Set thresholds, control failure responses, and catch bad data before it reaches your consumers.
AI agents continuously monitor pipelines and surface problems before they impact downstream consumers. No dashboards to watch, no thresholds to manually configure.
When something breaks, get contextual explanations that pinpoint the root cause. Troubleshoot failed runs and data quality issues without leaving your workflow.
Ascend's Intelligence Core tracks every table, column, cost signal, and execution pattern across your pipelines. The result: smarter processing, lower warehouse bills, and a team that ships instead of firefights.
SHA-based fingerprinting detects exactly what changed. Process only new and modified data, reducing warehouse costs by up to 83%.
Otto analyzes execution patterns and suggests concrete improvements while accounting for every downstream dependency so nothing breaks.
Replace Fivetran, dbt, Airflow, and your monitoring stack with a single system. Fewer tools means fewer integration points, fewer contracts, and fewer things to break.
Automation and intelligent orchestration compress months-long projects into weeks. Studio C built 250+ pipelines in 6 weeks.
Boost in team productivity
I can’t even fathom going back to Fivetran and dbt, where they're only doing a fraction of what you need.
What I just did in an hour would have taken me weeks previously.
Reduction in processing costs
Start your free trial in minutes. No credit card required.
Build pipelines 7x faster with AI that understands your data.
Cut warehouse costs by up to 83% with delta-only processing.
Replace Fivetran, dbt, Airflow, and your monitoring stack.