Ember
AI-assisted incident intelligence

Weak signals, full context, fewer repeat incidents.

Ember connects chat signals, code changes, and observability into one timeline, surfaces explainable next steps, and builds incident memory your team can trust, with humans in the loop at every step.

We'll only email when there's something worth saying.

Stylized preview of Ember's incident summary format. Not live data.

Product

Incident intelligence that stays legible under pressure

Low-noise, human-in-the-loop workflows that stay aligned with how your team already responds, without black-box promises.

Context

One timeline, not ten tabs

Correlate deploys, alerts, diffs, and conversations from chat so everyone sees the same story, including the quiet signals that usually get lost.

Recommendations

Explainable next steps

Suggestions cite the signals behind them. Your team confirms, adjusts, or rejects. Recommendations stay grounded and improve over time.

Memory

Stop repeating the same failures

Past incidents and decisions become reusable context: playbooks and risk hints surface when similar changes or patterns show up again.

Integrations

Connects where your incidents already live

Ingest conversations, code changes, and telemetry together so weak signals add up before an alert fires.

  • SlackChat signals
  • Microsoft TeamsChat signals
  • GitHubPRs & deploys
  • JiraTickets & change
  • DatadogMetrics & alerts

From the blog

Latest from the blog

Deep dives on early signals, incident memory, and calmer on-call culture: the same ideas behind the product.

View all posts

Early access

Bring incident memory to your stack

Join the waitlist for waves of onboarding, or reach out if you want to talk requirements first.