Know What's
Breaking.Before It Does

The predictive AI operating system
for startup execution.

RESIGNATION RISKSlack + Notion · SamBUDGET DRIFT$52k/mo · untrackedOWNERSHIP GAP3 epics · no owner
What ShiftLoom Already Sees
Resignation Risk
Your best engineer goes quiet. Slack messages drop. Jira assignments go stale. Commits slow to a stop.

Replacement cost: $150k. ShiftLoom detects it 3 weeks before it becomes one.

Budget Drift
Two teams spend full budget moving in opposite directions. No one flags the gap because no one can see it.

$50k burned in the wrong direction. By the time it surfaces, the runway already moved.

Ownership Gaps
A critical deliverable has comments across three teams, no assigned owner, and a deadline nobody owns. Everyone assumes someone else is responsible.

Two weeks lost before anyone knows where to look. At seed stage, that can cost a round.

Predictive Operational Intelligence

By the time a risk appears on a dashboard, it is already a problem.

What your tools record
SLACK 14 days ago "yeah sounds good""lmk""still figuring it out"
NOTION 47 days ago Q3_Plan_v4_FINAL_revised_2. Last edited: 47 days ago.
JIRA active SRV-114: no update · SRV-115: — · SRV-116: unassigned
May 1
Shiftloom
Key engineer showing withdrawal patterns across 3 tools.
Replacement cost: $180k. No action taken.
GTM hire stalled 6 weeks.
$52k/month burn with zero pipeline coverage.
Single engineer dependency across 3 critical epics.
One departure breaks Q3 delivery.
From Signal to Decision
Connect
ShiftLoom integrates with your existing stack. Slack, Notion, Jira, and more. Your data stays where it is. The intelligence comes to you, continuously.
No migration. No restructuring. No consultants. Connected in minutes.
Detect
ShiftLoom continuously analyzes every connected source. It surfaces resignation risk, budget drift, cross-team blockers, and ownership gaps before they become visible problems.
Risks detected before they compound
Act
You get a ranked signal list, not a report. Critical risks appear first. You see what is breaking, why it matters, and where to act.
You act. Not investigate.
Integrations

The signal is already in your tools. ShiftLoom reads it.

Slack
Engineer withdrawal
Notion
Document stalling
Jira
Blocked ticket escalation
Asana
Ownership gaps
Monday
Delivery trajectory
+ CORE TOOLS
Linear, GitHub, Google Drive, and more.
Slack

ShiftLoom detects withdrawal patterns across messages and activity. Flags the risk 3 weeks before it becomes a $180k replacement problem.

Read-only access. No data stored.
Why It Exists
600+
CEOs and executives interviewed before a line of code was written. Every signal ShiftLoom detects came from what they said they were missing.
CEO
Operator. Former orchestra conductor. Built and led in environments where seeing what is coming is the only way to survive.
CTO
Engineer. Former IBM. Built the entire ShiftLoom architecture in under 30 days.
See the system
By the time it shows up on a dashboard, it has already cost you.
ShiftLoom sees it first.
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