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What is Daybreak?

Daybreak is an AI labor platform for enterprise planning that helps organizations turn routine planning work into governed, measurable agent workflows. The platform is designed for teams that need better demand planning outcomes without adding another layer of traditional planning software. Daybreak’s agent, Dawn, owns demand planning work by reading signals, generating predictions, applying judgment, submitting decisions, and escalating exceptions that require human input. Routine forecasts can be submitted autonomously under policy, while high-impact changes, large forecast shifts, or concentrated risk areas can be held for planner review. When a planner accepts or overrides Dawn’s recommendation, Daybreak captures the decision, forecast change, reasoning, confidence, and business context. This allows human judgment to become a reusable asset rather than a one-time edit buried in a spreadsheet. Every decision is scored against outcomes so teams can learn which agent decisions added value, which human overrides improved results, and which choices created avoidable costs. Daybreak helps surface the financial impact of planning decisions by connecting overrides to write-downs, expedites, stockouts, excess inventory, trapped working capital, and margin leakage. Its AI labor model shifts repeatable planning tasks to agents while helping people focus their judgment on the decisions that move the P&L. The platform helps companies scale the instincts of top planners across every SKU, site, account, and cycle while improving over time. By combining demand planning agents, autonomous decisioning, human governance, override analysis, outcome scoring, P&L visibility, and continuous learning, Daybreak helps enterprise planning teams make value repeatable.

What is Athena Quotient?

Our assessment offers a statistically sound evaluation of the vital component of sound judgment, which plays a key role in achieving success in both professional and personal areas. The Athena Quotient (AQ) is a unique measure due to its exceptional predictability and dependability. Instead of acting as a standard test, the AQ functions as an evaluative instrument, meaning there are no clear “pass” or “fail” outcomes. This method ensures that potential hires, current staff, and senior leaders feel neither judged nor pressured, as is commonly experienced with traditional assessments. Designed to be accessible and comfortable, the majority of participants can complete the AQ in less than thirty minutes. Our emphasis is on measuring and improving judgment—judgment capable of creating not only incremental improvements but also significant breakthroughs within a company. While ongoing employee training remains essential, complementing these initiatives with the power of sound judgment can lead to transformative outcomes. By adopting the AQ, organizations can substantially enhance decision-making skills at every level. Ultimately, this commitment to judgment optimization paves the way for sustained innovation and growth in a competitive environment.

Media

Media

Integrations Supported

APERIO DataWise

Integrations Supported

APERIO DataWise

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Daybreak AI

Date Founded

2016

Company Location

United States

Company Website

daybreak.ai

Company Facts

Organization Name

Athena Assessment

Date Founded

2006

Company Location

United States

Company Website

www.athenaq.com

Categories and Features

Demand Planning

Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting

Categories and Features

Pre-employment Testing

Aptitude Testing
Candidate Comparison
Candidate Management
Customizable Tests
Online Testing
Personality Testing
Pre-made Test Library
Real Time Reporting
Skill Testing
Test Authoring
Workflow Management

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