Why Koalr

There are 12 engineering metrics platforms. Only one predicts what will fail.

Swarmia, LinearB, and Jellyfish measure past performance. Koalr is the only platform that scores deployments before they ship — and blocks the risky ones.

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The problem with metrics-only platforms

Most engineering intelligence tools are reporting tools. They tell you your deployment frequency dropped last week. They tell you your MTTR went up. By then, the incident has already happened.

Koalr's approach is different: measure everything, score every deploy, surface the risk before it ships. The goal is not a better dashboard — it's preventing the incident from happening at all.

Four capabilities no competitor ships together

Each capability alone is useful. Together they form a risk intelligence system.

Capability	Koalr	Swarmia	LinearB	Jellyfish	Axify
Pre-deploy risk scoring (0–100)	✅	❌	❌	❌	❌
GitHub Check Run to block risky deploys	✅	❌	❌	❌	❌
CODEOWNERS drift detection + enforcement	✅	❌	❌	❌	❌
Test coverage delta as a risk signal	✅	❌	❌	❌	❌
LLM chat on live engineering data	✅	❌	❌	❌	❌
DORA metrics	✅	✅	✅	✅	✅
AI tool adoption tracking	✅	❌	❌	❌	✅
AI authorship detection at commit level	✅	❌	❌	❌	❌
Incident.io integration	✅	❌	❌	❌	❌

Built different from day one

Three architectural decisions that can't be retrofitted.

Webhook-first, not polling

Koalr receives data in real time via webhooks — no 15-minute sync delays, no missed events. Risk scores update the moment a PR is opened or a commit is pushed.

Per-deploy scoring, not aggregate dashboards

Every deployment gets its own risk score, not a team average. You know which specific PR is dangerous — not just that your CFR went up last week.

LLM chat grounded in live data, not pre-baked summaries

Koalr's AI assistant runs against your actual database — real PR counts, real incident timelines, real coverage snapshots. Not a summarization layer over stale reports.

How teams use Koalr

"I used to find out about risky deploys after the on-call fired. Now I see the risk score before anyone merges. My Friday deploy-related incidents dropped by 60%."

Engineering Manager

"Koalr gave me the first cross-team view of deployment health I've ever had. One dashboard, all five teams, real-time. That's what I needed for board reporting."

VP of Engineering

"We added Koalr as a GitHub Check Run. Now high-risk PRs require explicit approval before merge. It took 20 minutes to set up and immediately changed developer behavior."

Platform Engineer

See the full comparison

Koalr vs Swarmia Koalr vs LinearB Koalr vs Jellyfish Koalr vs Axify Koalr vs Faros AI Koalr vs Allstacks

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