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The signal engine is how Palette turns thousands of raw tool events into context worth reading.
Every event from your connected tools gets ingested, scored, and interpreted. Not stored as raw data. Turned into plain-English context with meaning attached.
Here's what that looks like in practice:
Raw events: "Sarah merged PR #281 (new onboarding flow)"
"3 new messages in #product-launches"
"Launch checklist moved to 'In Progress' in Linear"
"Meeting: 'GTM sync' added for Thursday with 6 attendees"
Signal: "Product launch prep is ramping up. New onboarding
flow just shipped, launch checklist is active, and
a cross-team GTM sync is scheduled for Thursday."
Four events across three tools become one signal that tells you what's actually happening.
Tools show motion. What got shipped, what moved, what changed. This is the easiest layer to automate, and the least useful on its own.
People show meaning. A check-in from a teammate adds the "why" that tools can't capture. Was that sprint rushed or smooth? Is the team confident or concerned? Conversations and check-ins fill the gaps that event logs leave behind.
Public data adds external context. A competitor just raised a round. A prospect's company announced layoffs. Market shifts that affect your decisions but don't show up in your internal tools.
No single source gives you the full picture. The signal engine combines all three and feeds the result into your context.
Every claim the signal engine produces is traced back to its source and scored for reliability. A signal built from five corroborating events across two tools scores higher than one based on a single Slack message from last week. You always know how much to trust what you're reading.