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ilert
European incident management platform for alerting, on-call, ChatOps, and status pages, with a privacy-minded posture for DevOps and SRE teams.
European engineering teams that want alerting, on-call, and status pages with a privacy-minded vendor posture.
Teams that need the richest Slack-native AI SRE bundle first, or buyers comparing only US category leaders on feature depth.
Verdict
ilert is a fair fit when the bottleneck is reliable alerting and on-call with EU-friendly operations. Practitioners like the core IR path; buyers chasing the deepest AI post-mortem suites may still prefer incident.io or Rootly.
Score Breakdown
How ilert scores in the categories that matter to its buyers.
Pricing
ilert publishes starter through business-class plans on ilert.com. Figures below are USD-oriented list signals commonly reported for 2026; confirm seats and channels on live checkout.
| Plan / SKU | Meter | Price (USD) | What stands out |
|---|---|---|---|
| Starter | per month | Entry published | Core alerting |
| Professional | per user / month | Mid published | On-call; escalations |
| Business | per user / month | Higher published | Status pages; extras |
| Enterprise | annual | Custom quote | SSO; residency path |
The Field at a Glance
How ilert compares with other AI incident & on-call vendors we reviewed, by Overall Score and relative typical engagement cost.
ilert scores 6.9 in AI incident & on-call, under incident.io (8.2), Rootly (8.0), Cleric (7.7), and Traversal (7.7). Relative cost lands lower for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Alerting & escalations | Strong | Core ilert motion. |
| On-call scheduling | Strong | Common buyer story. |
| EU privacy posture | Strong | Differentiation path. |
| Slack-native AI SRE depth | Mixed | incident.io and Rootly market Slack-native AI incident response. |
| Full ITSM suites | Mixed | ilert is not built for full ITSM suites. |
| Feedback boards | Poor | ilert does not cover feedback boards. |
Review Excerpts
Representative buyer views drawn from public information about ilert. Paid reviews and pay-for-play sites were excluded.
“Alerts, escalation policies and status pages sit in one product, and the pricing is easy to read.”
Representative buyer view
“We moved schedules from PagerDuty with the importer and kept our escalation rules.”
Representative buyer view
“It has fewer AI response features than the newer Slack-first products.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: ilert’s pricing page
Key Leadership
Birol Yildiz
Co-founder and CEO
Methodology
This page is an independent evaluation of ilert for buyers comparing options in ai incident & on-call. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. ilert did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai incident & on-call)
- Alerting & escalation policies
- On-call scheduling
- EU privacy / residency fit
- AI summary / assist depth
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
ilert is graded here as ai incident & on-call. Criteria scores can move as more review volume and product checks are added.