Introducing DAgent: Your Data Pipeline's Autopilot

Data pipelines break at 3 AM. ETL jobs fail. What if your data infrastructure could fix itself? Meet DAgent—autonomous AI agents for data teams.

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Introducing DAgent: Your Data Pipeline's Autopilot

Your data pipeline just broke. Again.

It's 3 AM. The on-call engineer is digging through logs. The executive dashboard is showing stale data. Someone's going to ask questions in the morning.

This is the reality for data teams everywhere. Manual monitoring. Reactive firefighting. Hours spent debugging instead of building.

We're done with that.

The Problem: Data Pipelines Need Constant Babysitting

Here's what data teams deal with every day:

  • Breaking pipelines that fail silently until someone notices missing data
  • Manual quality checks that catch errors too late
  • Repetitive tasks that steal time from strategic work
  • Tribal knowledge locked in senior engineers' heads
  • Scale challenges where adding pipelines means adding headcount

The traditional solution? Hire more engineers. Build more monitoring. Write more alerts. Cross your fingers.

There's a better way.

Meet DAgent: Autonomous Agents for Data Operations

DAgent is your data pipeline's autopilot. Autonomous AI agents that run 24/7, monitoring your data infrastructure, catching issues before they become problems, and fixing what breaks.

What Makes DAgent Different?

1. Self-Healing Pipelines

When a pipeline fails, DAgent doesn't just alert you—it diagnoses the issue, attempts common fixes, and escalates only when human intervention is truly needed. Schema changed? DAgent adapts. API rate limit hit? DAgent backs off and retries intelligently.

2. Proactive Quality Monitoring

Forget writing hundreds of data quality rules manually. DAgent learns normal patterns in your data and flags anomalies automatically. It catches the subtle issues traditional rule-based systems miss.

3. Enterprise-Grade Governance

Every action is logged. Every decision is auditable. DAgent operates within your compliance framework, with full visibility into what changed, when, and why. No black boxes.

4. Built for Data Teams

DAgent speaks SQL, understands data warehouses, and integrates with your existing stack. Snowflake, BigQuery, Redshift, dbt—if you use it, DAgent works with it.

How It Works

Step 1: Connect Your Stack

Plug DAgent into your data infrastructure in minutes. No rearchitecture required.

Step 2: Define Your Agents

Tell DAgent what to watch, what success looks like, and what actions to take. Start with templates or build custom workflows.

Step 3: Let It Run

DAgent monitors, learns, and acts. You focus on building. Your team sleeps through the night.

Early Results

Beta users are reporting:

  • 80% reduction in pipeline incidents requiring manual intervention
  • 3 hours saved per engineer per week on routine troubleshooting
  • Minutes instead of hours to detect and resolve data quality issues
  • Zero 3 AM pages for issues DAgent handled automatically

"DAgent caught a schema drift issue at 2 AM and adapted the pipeline before our morning reports ran. We didn't even know it happened until we checked the logs the next day." — Engineering Lead, Series B SaaS Company

What's Next?

We're in early access with a small group of data teams helping shape the product. Here's what's coming:

Q1 2025: Expanded data connector ecosystem, CLI tool, advanced agent templates

Q2 2025: Team collaboration features, custom integration framework, public API

Q3 2025: Enterprise SSO, advanced governance features, marketplace for community-built agents

Join the Early Access

We're opening up DAgent to data teams ready to move from reactive to autonomous.

Spots are limited. We're onboarding carefully to ensure every team gets hands-on support as we refine the product.

Here's what you get:

  • Early access to the platform before public launch
  • Direct line to our engineering team for feedback and support
  • Influence on the roadmap—your pain points shape what we build
  • Preferred pricing when we go GA

Who should apply:

  • Data teams managing 5+ production pipelines
  • Organizations dealing with frequent data quality issues
  • Engineering leaders tired of manual data operations
  • Teams ready to experiment with AI-powered automation

Join the waitlist →

The future of data operations isn't more monitoring. It's autonomy.

DAgent is the first step toward data infrastructure that runs itself—catching issues, adapting to change, and delivering reliably without constant human intervention.

Stop babysitting your pipelines. Let DAgent handle it.

Ready to experience autonomous data ops? Get early access →