Know What's
Breaking.Before It Does.

Predictive execution intelligence for fast-scaling startups.

RESIGNATION RISKSlack + Notion · Sam L.BUDGET DRIFT$52k/mo · UntrackedEXECUTION RISK3 epics · No owner
What ShiftLoom Knows

Dashboards report problems. ShiftLoom predicts them.

Resignation & Burnout Risk
Slack patterns shift. Jira behavior changes. ShiftLoom detects flight risk and burnout signals 3 weeks before notice.
Cost of a miss: $180k+.
Runway Drain
Small team, thin runway. Burn can slip past plan unnoticed.
$50k burned before the board sees it.
Execution Risk
Blocked tickets. Stalled PRs. Ownership gaps.
ShiftLoom catches the pattern before they compound into missed deadlines.
How It Works
Connect
ShiftLoom integrates with your existing stack. Slack, Notion, Jira, and more. Your data stays where it is.
No migration. No restructuring. No consultants. Connected in minutes.
Detect
ShiftLoom continuously analyzes every connected source. Surfaces risks before they compound.
Signal, not noise.
Act
Ranked insights with full context. Sourced and cited. Shows what's at stake.
You act. Not investigate.
Why It Exists
700+
CEOs and executives interviewed before a line of code was written. Every feature maps to a decision that cost a real company time, money, or a person.
Cristina IscencoCEO
Ex orchestra co-founder, conductor turned operator. Coordinated 250+ people simultaneously, anticipating and reducing risk before it surfaces.
Yulia TsernantFounding Engineer
Systems architect. Former IBM. Unblocked 9 engineers stuck for two-thirds of a release cycle, $1M at risk. Built ShiftLoom end to end in under 30 days.
Integrations

The signal is already in your tools.

ShiftLoom reads it across every integration, catching risks before they compound.

16 integrations live, and growing.

Seven risk categories. Click any to see the integrations behind it.

Resignation1 integration
Slack
+
Retention2 integrations
Gusto
BambooHR
+
Knowledge3 integrations
Notion
Google Docs
Confluence
+
Execution4 integrations
Jira
ClickUp
Linear
Asana
+
Engineering3 integrations
GitHub
Datadog
PostHog
+
Budget Drift2 integrations
Stripe
QuickBooks
+
Revenue1 integration
HubSpot
+

Read-only access. ShiftLoom gets context, not content.
Connected in minutes.

No content retained.
Disconnect anytime. We stop reading immediately.

Privacy Policy · Terms

See the system

By the time it shows up on a dashboard, it has already cost you.
ShiftLoom sees it first

Book a Pilot

ShiftLoom – Predictive AI Operating System for Startup Founders and Executives

ShiftLoom is the AI-native operating system built for Seed and Series A startup founders, CEOs, and executives scaling fast under pressure. It detects what is about to break — across people, budget, and execution — before it costs you runway, talent, or a quarter.

Built for Founders Who Cannot Afford Surprises

At Seed and Series A, every resignation, every misallocated dollar, and every stalled sprint compounds. ShiftLoom gives founders and executives the operational visibility that was previously only available to companies with full chiefs of staff, operations teams, and analysts. Now it runs automatically, across your entire stack, in real time.

Resignation Risk Detection

ShiftLoom identifies engineer and key employee flight risk up to 3 weeks before resignation. It cross-references behavioral signals across Slack, Jira, GitHub, and Notion — without reading private messages. Average replacement cost for a senior engineer exceeds $150,000. Early detection changes the outcome. This is critical for any startup where one departure can break a release cycle or derail a funding round.

Budget Drift and Runway Protection

ShiftLoom detects cross-team budget misalignment before it hits the P&L. Two teams burning in opposite directions. $50,000 gone before anyone flags it. For startups operating on 12 to 18 months of runway, budget drift is an existential risk. ShiftLoom surfaces it while there is still time to redirect.

Execution Risk and Delivery Intelligence

Blocked tickets. Stalled PRs. Ownership gaps. Silent dependencies. ShiftLoom identifies execution breakdown patterns across Jira, Linear, GitHub, and ClickUp before deadlines slip. For founders managing engineering, product, and GTM simultaneously, this is the system that keeps delivery on track without requiring daily standups or status meetings.

Startup Operational Intelligence Across Every Function

ShiftLoom monitors signals across 16 integrations covering engineering, people operations, sales, finance, and product: Slack, Jira, Notion, GitHub, Linear, HubSpot, Stripe, Datadog, PostHog, Gusto, ClickUp, Google Docs, and more. Seven risk categories. One ranked feed. No dashboards to build. No analysts required.

How It Works

Connect your existing stack in minutes. No migration, no restructuring, no consultants. ShiftLoom reads signals continuously across every connected tool. It surfaces ranked insights with full context — what is at risk, why it matters, and exactly where to act. You act. You do not investigate.

Security and Privacy

Read-only access only. ShiftLoom receives context, not content. No data is retained. Disconnect at any time and we stop reading immediately. Built for US startups with enterprise-grade data handling from day one.

Why ShiftLoom Exists

ShiftLoom was built after 700+ interviews with US-based CEOs, founders, and executives across sectors. Every feature maps directly to a real operational failure — a resignation that broke a quarter, a budget misalignment that moved the runway, a blocked dependency that killed a launch. Sector-agnostic. Pressure-tested from the start.

Founders

Cristina Iscenco, CEO. Co-founder of Orchestra. Conductor turned operator. Built the discipline of coordinating 250+ people under pressure, anticipating risk before it surfaces. ShiftLoom is that capability operationalized in software.

Yulia Tsernant, CTO. Systems architect, former IBM. Unblocked 9 engineers stuck for two-thirds of a release cycle with $1M at risk. Built ShiftLoom end to end in under 30 days.

Who ShiftLoom Is For

Seed and Series A startup founders. CEOs and COOs at high-growth companies. Engineering leads managing delivery risk. Executives operating without a full operations team. Any founder scaling fast who needs to know what is breaking before it does.