The only Signal Intelligence Layer that unifies engineering signals,detects emerging delivery risks, and keeps teams synchronized.
Stop reacting to delays after they happen.
Wallow reads signals from Jira, GitHub, Slack, CI/CD, and your entire engineering environment to detect impact signals, coordination gaps, and delivery-threatening patterns long before they spread.
See the signals that shape delivery — and act before delays grow.
Wallow continuously analyzes signals across your engineering ecosystem to surface the earliest indicators of delivery risk, including:
- • Workload imbalance
- • Recurring blockers
- • Ownership gaps
- • Workflow latency
- • Breakdown in cross-team coordination
- • Pattern recurrence and trend acceleration
You see issues forming before anyone else — and teams act before impact spreads.
Watch Signal Intelligence In Action
A cluster of stalled PR reviews and backlog growth signal emerging execution risk in Backend.
Slack communication gaps combined with diverging Jira timelines indicate misalignment between Product and Frontend.
Deployment queue spikes and increased cycle time indicate bottleneck risk in DevOps.
A critical blocker was resolved; GitHub + Jira indicate flow restoration in QA pipeline.
Traditional metrics tell you what slowed down.
Wallow tells you why, where, and what to fix.
Organizational Impact
Measured Signal Intelligence Improvements Across Engineering Teams
Signal Maps that make your delivery pipeline visible.
Wallow unifies signals from Jira, Slack, GitHub, CI/CD, PM tools, and incidents to automatically generate:
Every map reveals why work slows, where ownership breaks, and how to fix the pattern.
From Information Overload to Executive Clarity
- ✗Siloed signals
- ✗Manual investigation
- ✗Slow detection
- ✗Recurring issues
- ✗Team misalignment
- ✗Unpredictable delivery
- ✓Unified signals in one intelligence layer
- ✓Automated risk detection
- ✓Pattern recognition across every tool
- ✓Real-time coordination signals
- ✓Predictable, confident delivery
- ✓Fewer surprises
Featured Case Studies
How leading teams use Signal Intelligence to stay ahead of delivery risk
- • Shorten sprint cycles by eliminating recurring blockers
- • Resolve cross-team alignment issues instantly
- • Predict delivery threats 2–5 days early
- • Reduce review bottlenecks and coordination drift
Your Team's Signal Story Could Be Next
Turn scattered engineering data into actionable, real-time intelligence.
Turn delivery risk into predictable execution.