Daybreak
Also known as: Noodle.ai
AI labor for supply-chain planning; agents own baseline planning decisions under human governance.
Daybreak is an AI-native supply-chain planning platform that frames itself as AI labor for enterprise planning. Its AI agents own baseline planning decisions within an explicit, policy-defined scope, route the exceptions that move the P&L to human planners, and score every decision against the outcome, letting planning organizations scale decision capacity without adding headcount while keeping accountability and auditability.
The platform is organized in layers: a prediction engine that automates data ingestion, cleansing, feature engineering, model selection, and probabilistic demand forecasting; an explainable decision system that blends forecasts with human judgment; and an agentic layer where named agents (such as Dawn, which owns the demand plan) read signals, make recommendations, defend each call, and fold the outcome back into the next cycle. When a decision exceeds policy thresholds, it is routed to a human, whose edits, confidence, and reasoning are captured so judgment compounds rather than resets.
Daybreak is the current identity of Noodle.ai, founded in 2016, and its leadership comes from enterprise-planning and supply-chain backgrounds including Kinaxis, Blue Yonder, SAP, and i2 Technologies. The platform plugs into existing ERP and planning systems and targets global CPG and industrial manufacturers at Fortune 500 scale.
Based in San Francisco, Daybreak raised a 15 million dollar Series A in 2025 from TPG Growth and Dell Technologies Capital, and in early 2026 it completed its Series A financing and promoted Tim Krug from president to CEO. It is sold on a sales-led, enterprise basis.
Vendor details
Canonical URL
https://daybreak.ai
Category
Enterprise operations agent
Company status
independent
Use cases & customers
In practice
Your demand planners spend their days on routine forecasts and never get to the decisions that move the P&L. Daybreak's agents own the baseline plan within policy and route the exceptions that matter to people.
An agent makes a planning call and you have no idea why. Daybreak's named agents defend each recommendation and fold the outcome back into the next cycle, so the reasoning is visible and improves over time.
You want to scale planning capacity without adding headcount. Daybreak runs baseline decisions within an explicit, policy-defined scope and scores each one against what actually happened.
Agentic Index coverage score
4.5 / 14 capabilities · 32%
| Integrations & Tool CallingDaybreak plugs into existing systems and is deepening integration with enterprise resource planning, logistics, and analytics systems, moderate domain scoped integration, so partial. | Partial |
|---|---|
| Workflow OrchestrationDaybreak runs a swarm of autonomous agents that own baseline planning decisions within explicit scope across demand and supply planning, a genuine autonomous multi agent system. | Full |
| Knowledge Grounding & RAGDaybreak embeds domain intelligence into probabilistic forecasting and scenario aware planning, strong data grounding without citation tracked retrieval, so partial. | Partial |
| Human Oversight & GuardrailsDaybreak agents own baseline planning decisions while humans govern through supervision, policy, and risk controls within explicit scope, bounded autonomy under human governance, so partial. | Partial |
| Security, Identity & GovernanceDaybreak shows only baseline publicly visible security evidence with no named certifications, single sign on, or access control matrix documented, so not documented as first class. | Unable to verify |
| Observability & AuditabilityDaybreak provides transparency behind every decision and shows exactly how each decision was made with explainable agents and auditability, comprehensive agent decision auditability, so full. | Full |
| Memory & State PersistenceDaybreak agents continuously adapt but the platform documents no dedicated persistent cross session agent memory product, so not documented as first class. | Unable to verify |
| Deployment & Data ResidencyDaybreak is delivered as a hosted cloud service with no self host or data residency option documented, so not documented as first class. | Unable to verify |
| Prebuilt Agents, Templates & PacksDaybreak fields an internal swarm of planning agents rather than a browsable marketplace or library of cloneable prebuilt agents, so not documented as first class. | Unable to verify |
| Triggers & Channel CoverageDaybreak autonomous agents operate continuously in the background and surface risks in real time across planning workflows, strong continuous triggers within a single channel, so partial. | Partial |
| Model Flexibility & RoutingDaybreak runs its own advanced machine learning models with no user facing model routing or selection documented, so not documented as first class. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityDaybreak is a productized planning application rather than a low level programmable platform and documents no public developer application programming interface, software development kit, or Model Context Protocol server, so not documented as first class. | Unable to verify |
| Testing, Debugging & OptimizationDaybreak continuously learns and adapts and supports scenario aware simulation of planning workflows, an optimization and evaluation loop, so partial. | Partial |
| Browser & Computer UseDaybreak operates over planning data and workflows with no general browser or computer use capability, so not documented as first class. | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Enterprise pricing. Contact sales.
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Alternatives to Daybreak
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Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded