Continuous Discovery. Autonomous Action.

Using past and present data health signals, agents detect patterns, anomalies, policy violations, and take immediate action.

See It in Action

Discover the Benefits

Where Observability Meets Action

Discovery fuels autonomous workflows with unified lineage, telemetry, and context—so your agents never act in the dark.

Explore Agentic Workflows

One Anomalous Data Signal. Next Best Action

Each action is tracked, customizable, and constantly improving.

Trigger

Always-on anomaly detection across data health, volume, freshness, or schema.

Respond

Auto-execute actions like ticket creation, Slack alerts, or pipeline pause.

Customize

Configure agent actions with webhooks, team routing, or escalation logic.

Learn & Resolve

Log actions, track patterns, and refine responses over time using time-series analysis.

Explore Capabilities

From Alert Noise to Precise Response

Cut manual triage, reduce noise, and scale incident response with intelligence.

Before

Delayed fixes due to manual triage

Siloed tools (e.g., Slack, Jira)

One-size-fits-all responses

No traceability post-incident

After

Instant workflows triggered by alert rules

Centralized, context-rich collaboration

Role-based, dynamic business notebook

Autonomous actions, feedback, and audit trails

See How Agents Act

Built to Act Across Teams

Helps lean teams move fast—when data breaks, action follows.

Data Engineer

"If freshness drops, stop the pipeline and ping on Slack with a link to the job."

Site Reliability Engineer

"Auto-ticket performance bottlenecks in Jira and include logs."

Compliance Officer

"If policy violations occur, trigger a webhook to the DLP system."

Data Analyst

"Get an alert when data volumes fall below threshold—and share anomaly context with my team."

Platform Admin

"Route schema drift incidents to the correct owners instantly."

Every Action. Made for Collaboration

Resolve connects signals to action through agentic playbooks that automate responses across Slack, pipelines, and remediation systems.

Monitor

Detect

Route

Trigger

Learn

Agents continuously scan telemetry and metadata signals.

ML-based detection flags policy violations or anomalies

Playbooks assign actions to appropriate teams

Agents act: stop pipelines, trigger tickets, alert via Slack/webhook

Actions are logged, improving future responses

From Business Goal to Agentic Plan-Autonomously

ADM planning translates high-level goals into actionable tasks—routed to agents with autonomy and control.

Monitor:
Agents continuously scan telemetry and metadata signals.

Detect:
ML-based detection flags policy violations or anomalies.

Route:
Playbooks assign actions to appropriate teams.

Trigger:
Agents act: stop pipelines, trigger tickets, alert via Slack/webhook.

Learn:
Actions are logged, improving future responses.

Built for Scale. Proven in Production.

Teams reduced MTTR from hours to minutes—preserving SLAs and improving trust.

Time-series signal from 1,200+ pipelines and 3M+ daily records

92% of freshness anomalies detected

78% of them were resolved in minutes, not hours

Enterprise Trust, Reinforced

“Autonomous agents now resolve incidents faster than humans ever could. Reduced our average incident response time from 2 hours to 5 minutes—and eliminated 80% of manual interventions."

— Director of Data Operations, Leading FinTech

Supercharge Your Data with ADM

Insights and Action powers ADM with dynamic context. Explore all capabilities.

Agentic Visualization

Discovery

Policy

Act

Got Questions? Get Clarity

What agents take actions?

Slack alerts, stop pipelines, open tickets (Jira/ServiceNow), call webhooks, notify owners, tag incidents.

How does it fit into Agentic Data Management (ADM)?

Resolve acts as the execution engine within ADM, automating real-time remediation through embedded agents and configurable playbooks.

How does it integrate with my stack?

Via native plugins, REST APIs, and webhook actions. Easily connect to Slack, Jira, Snowflake, or custom apps.

Can I customize responses?

Yes, use playbooks or define actions by rule, role, or platform as agents seek your approval.

Is it only for data engineers?

No. Analysts, SREs, admins, and governance teams all benefit from guided workflows.

Is there a feedback loop?

Yes— agents logs every action, captures context, and uses it to improve future responses.

Resources & News

The Latest at Acceldata

BLOG

Certified Data Sources: Powering Data Trust and Observability

CEO Blog

ADM Unveiled: Leading the Agentic Revolution

CMO Blog

Uniting Teams for Breakthroughs

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