# ShiftLoom

> ShiftLoom is the risk intervention system for startup execution. It connects company tools so leaders can intervene before risk becomes damage.

Risk Intervention System for Startup Execution. The Cross-System Risk Layer for Startup Execution connects evidence across product, engineering, people, finance, and revenue so leadership can understand when isolated conditions may be compounding into company-level risk and consider what can still be changed.

## Market and availability

- Primary market: United States
- Language: en-US
- Audience: CEOs and CTOs at fast-scaling, VC-backed startups at Seed, Series A, and Series B
- Availability: closed pilot
- Product boundary: ShiftLoom supports human judgment. Leaders validate evidence and retain every decision.
- Outcome boundary: a finding or completed action does not by itself prove that an intervention changed the outcome.

## Product logic

1. Connect authorized evidence across company tools.
2. Relate conditions across domains and time.
3. Identify where they may be compounding into company-level risk.
4. Clarify the intervention window and material uncertainty.
5. Present risk-specific options for leadership consideration.

## Canonical product pages

- [Risk Intervention System for Startup Execution](https://www.shiftloom.io/): Official ShiftLoom homepage and illustrative product mechanism. Supporting mechanism: The Cross-System Risk Layer for Startup Execution.
- [Risk Intervention System for Startup Execution](https://www.shiftloom.io/product): See how ShiftLoom helps leaders of fast-scaling, VC-backed startups at Seed, Series A, and Series B connect evidence and reveal compounding execution risk.
- [How the Risk Intervention System Works](https://www.shiftloom.io/how-it-works): See how ShiftLoom helps leaders of fast-scaling, VC-backed startups at Seed, Series A, and Series B connect evidence, identify compounding execution risk, and make the decision.

## Product evidence

- [ShiftLoom Integrations](https://www.shiftloom.io/integrations): See the 16 providers in ShiftLoom’s current public registry, the operating evidence each may contribute, and the limits of connected data.
- [ShiftLoom Security and Data Practices](https://www.shiftloom.io/security): A factual account of ShiftLoom’s current integration access, credential handling, organization isolation, processing, retention, deletion, and pilot boundaries.

## Guides

- [Resignation Risk Signals for Startup Leaders](https://www.shiftloom.io/about/guides/resignation-risk): A practical framework for separating meaningful changes in work patterns from ordinary variation, with guidance on when a respectful conversation is warranted.
- [How to Identify Budget Drift Before Runway Moves](https://www.shiftloom.io/about/guides/budget-drift): A practical guide to tracing financial variance back to the operating decisions behind it while there is still time to continue, redirect, or stop the spend.
- [Execution Risk Across Product and Engineering](https://www.shiftloom.io/about/guides/execution-risk): A practical guide to tracing a threatened customer or roadmap commitment through blockers, dependencies, ownership gaps, and stalled technical work.
- [Operational Intelligence for Fast-Scaling Startups](https://www.shiftloom.io/about/guides/startup-operational-intelligence): A practical guide to choosing one recurring leadership decision, mapping the evidence around it, and defining what an earlier intervention would make possible.

## Organization

- Founder and CEO: Cristina Iscenco
- Company profile: https://www.shiftloom.io/about
- LinkedIn: https://www.linkedin.com/company/shiftloom/
- Contact and pilot request: https://www.shiftloom.io/contact

## Policies and discovery

- Privacy Policy: https://www.shiftloom.io/privacy
- Terms of Service: https://www.shiftloom.io/terms
- XML sitemap: https://www.shiftloom.io/sitemap.xml
- RSS feed: https://www.shiftloom.io/feed.xml
- Full agent context: https://www.shiftloom.io/llms-full.txt

Last updated: 2026-08-09T15:19:00+02:00