Detect problems before they snowball
Catch stopped automations, unexpected changes, and unusual activity before they disrupt your work.
An observatory
for your
Airtable base
Orloi turns Airtable activity into a living record of metrics, reports, and trends your team and AI agents can act on.
Stay in the loop
Follow what changes in your Airtable base. Reports and trends help you see what needs your attention.
Track and automate your processes
Understand how work moves across records and tables. Improve your automations and provide helpful context to AI agents.
From base activity to operational memory
Connect Airtable once. Orloi automatically records each change into a structured history that is compared, explained, and understood over time.
Airtable
Postgres
Reports
Daily and weekly reports, generated automatically from your Airtable activity.
Metrics
Auto-identified, auto-collected, auto-analyzed.
Activity
Detecting, categorizing and studying automations, collaborator actions and API calls. Letting you know if something seems off.
Processes
Studying cycles, repetitions and the times in between. Letting you know what's worth automating.
Trends
Studying metrics over time. Sustained growth, volatility, bursts, suspicious changes.
Operational map created from real data flow
Explore a demo of an operational map created from activity in a single Airtable base.
Ask what happened. Get the full story.
Ask Orloi what happened across your records, then follow the trail from the first signal to the downstream changes.
Orloi Assistant
Observing what most overlook
Orloi starts with the changelog: how records move and fields change over time, creating rich context for humans and AI agents alike.
First two weeks
Recording starts immediately, then richer reports,
maps, and alerts emerge as patterns form.
Day 0
Activate
Day 1
First daily report
Day 3-4
First process map
First Monday
First weekly report
Day 10-11
Anomaly detection
Day 14
Steady state
Turn your Airtable activity into operational memory
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