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ketteQ

Also known as: PolymatiQ, ketteQ Intelligent Digital Agents, Intelligent Planning Agents

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Enterprise operations agentindependentVerified 2026-07-08

Agent led adaptive supply chain planning powered by PolymatiQ, an agentic AI solver whose Intelligent Digital Agents run on top of SAP, Oracle, Kinaxis, and others or on ketteQ's own end to end platform.

ketteQ delivers agent led, adaptive supply chain planning built for constant change. At its core is PolymatiQ, a patent pending agentic AI engine (described by the company as an agentic AI solver rather than a traditional solver) that autonomously runs thousands of multi pass experiments, continuously tunes assumptions, evaluates trade offs, and improves outcomes without manual model maintenance. PolymatiQ combines probabilistic modeling, multi scenario analysis, and adaptive tuning to power a growing roster of Intelligent Digital Planning Agents across demand, supply, inventory, production, revenue, and customer commitments.

Announced generally available in February 2026, ketteQ Intelligent Digital Agents can be deployed two ways: augmenting existing planning systems such as SAP IBP, Oracle, Kinaxis, Blue Yonder, o9, Anaplan, and Logility with measurable value in four to eight weeks, or running natively on ketteQ's end to end adaptive planning platform with go live in three to six months. Named agents include a Demand Planning Agent that continuously adapts forecasts with probabilistic multi scenario analysis, an Inventory Agent, and a Customer Commitment Agent that integrates with CRM to align promise dates with real time supply. All agents share the PolymatiQ intelligence layer, enabling explainable, governed, and coordinated decision making with immutable audit trails and guardrails.

Built natively on Salesforce and AWS, ketteQ handles millions of SKUs across multi echelon networks and processes high frequency updates from ERP, MRP, and WMS. Founded by supply chain planning and enterprise software veterans (CEO Mike Landry, founder of Servigistics), ketteQ serves customers including Johnson Controls, Coca-Cola, Carrier, NCR Voyix, and Alliance Consumer Group.

Vendor details

Canonical URL

https://www.ketteq.com

Category

Enterprise operations agent

Subcategory

Agentic supply chain planning

Funding status

Series B; founded by supply chain planning veterans; customers include Johnson Controls, Coca-Cola, Carrier, NCR Voyix

Company status

independent

Use cases & customers

Primary use cases

Adaptive demand planning and forecastingInventory and supply optimizationCustomer commitment and promise date managementAugmenting existing planning systems with agentsEnd to end adaptive supply chain planning

Target customers

Enterprise supply chain and operations teamsManufacturers and CPG companiesOrganizations running SAP, Oracle, Kinaxis, or Blue Yonder planning

Deployment options

SaaS (built on Salesforce and AWS)

Integrations

Deploys on top of existing planning systems including SAP IBP, Oracle Cloud Planning, Kinaxis, Blue Yonder, o9, Anaplan, Logility, and homegrown tools; built natively on Salesforce and AWS; integrates with CRM, ERP, MRP, and WMS systems and automates promise dates in Salesforce Sales Cloud.

In practice

A manufacturer deploys ketteQ Demand and Inventory Agents on top of its existing SAP IBP system and sees measurable capacity and waste improvements within weeks without replacing the system

The Customer Commitment Agent integrates with Salesforce to give sales teams instant, supply aware delivery promise dates instead of guessed lead times

PolymatiQ runs thousands of scenarios overnight to surface a range of plans each tied to a business goal and confidence score as conditions shift

Capability coverage

11.0 / 14 capabilities · 79%

Integrations & Tool CallingAgents deploy on top of SAP IBP, Oracle Cloud Planning, Kinaxis, Blue Yonder, o9, Anaplan, Logility, and homegrown systems, built natively on Salesforce and AWS and connecting to CRM, ERP, MRP, and WMS. ketteq.com homepage and Feb 2026 GA PR retrieved 2026-07-08. Full
Workflow OrchestrationA growing roster of coordinated Intelligent Digital Agents (Demand, Inventory, Customer Commitment) align and coordinate decision making across demand, supply, inventory, and customer commitments, sharing a common PolymatiQ intelligence layer. ketteq.com releases/agents and Feb 2026 PR retrieved 2026-07-08. Full
Knowledge Grounding & RAGPolymatiQ grounds decisions in the enterprise's live planning data across ERP, MRP, and WMS, combining probabilistic modeling with high speed multi scenario analysis rather than static assumptions. ketteq.com platform and about pages retrieved 2026-07-08. Full
Human Oversight & GuardrailsAgents operate independently but never blindly, executing within policies, objectives, and guardrails defined by the business, with humans focused on strategy, oversight, and intent. ketteq.com releases/agents page retrieved 2026-07-08. Full
Security, Identity & GovernanceAgents are built on an enterprise grade security framework with end to end encryption, granular access controls, immutable audit trails, and continuous monitoring, on Salesforce and AWS. ketteq.com releases/agents page retrieved 2026-07-08. Full
Observability & AuditabilityPolymatiQ enables explainable, governed, and coordinated decision making with immutable audit trails, and presents plans tied to a business goal and confidence score. ketteq.com Feb 2026 PR and adaptive planning blog retrieved 2026-07-08. Full
Memory & State PersistenceThe engine continuously learns from outcomes and changing conditions and self tunes over time, but a dedicated agent memory construct is not separately documented. ketteq.com platform page retrieved 2026-07-08. Partial
Deployment & Data ResidencyBuilt natively on Salesforce and AWS for enterprise scale and security, with flexible deployment either augmenting existing environments or as an end to end platform. ketteq.com platform page retrieved 2026-07-08. Full
Prebuilt Agents, Templates & PacksShips a growing roster of coordinated prebuilt Intelligent Digital Agents including Demand Planning, Inventory, and Customer Commitment agents, each focused on a specific domain. ketteq.com Feb 2026 PR retrieved 2026-07-08. Full
Triggers & Channel CoverageAgents monitor conditions in real time and continuously, reassessing scenarios and adjusting plans as demand, supply, or constraints shift with no batch runs or waiting cycles. ketteq.com releases/agents page retrieved 2026-07-08. Full
Model Flexibility & RoutingPolymatiQ is a proprietary patent pending agentic AI solver purpose built for supply chain planning; customer selectable LLMs or model routing are not part of the framing. ketteq.com platform and blog pages retrieved 2026-07-08. Unable to verify
APIs, SDKs & MCP ExtensibilityNative Salesforce and AWS architecture and deployment on top of diverse planning systems imply integration surfaces, but a documented public API, SDK, or MCP interface for building on the platform was not retrieved. ketteq.com platform page retrieved 2026-07-08. Partial
Testing, Debugging & OptimizationPolymatiQ autonomously runs thousands of multi pass experiments, continuously tunes assumptions, evaluates trade offs, and improves outcomes without manual model maintenance or repetitive re planning cycles. ketteq.com homepage retrieved 2026-07-08. Full
Browser & Computer UseNo browser or computer use capability documented; agents operate through planning system integration and decision execution. ketteq.com pages retrieved 2026-07-08. Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Contact sales

deployment path (augment existing systems vs full platform)

Contact onlyMedium variable cost

What is public

The two deployment paths and their timelines (four to eight weeks vs three to six months) are public; commercial terms are not.

Billing mechanics

Not publicly documented; enterprise sales led with two deployment paths (augment or full platform) built on Salesforce and AWS.

Cost watchouts

Cost scales with the number of agents deployed and network complexity (SKUs, echelons); the full platform path involves a larger implementation than augmenting an existing system.

Variable cost rationale

Pricing likely scales with agents deployed and supply chain network complexity, and the full platform path is a larger commitment than augmentation, but no metering is published so exposure is inferred.

Additional watchouts

Enterprise supply chain procurement; implementation scope differs substantially between the augment and full platform paths.

Sales call required

Yes — required for paid access

Free / trial

No public free tier or self serve trial; demo and value assessment via sales

Key ambiguities

Pricing figures and billing axis are unpublished; the two deployment paths are documented but not priced.

Missing data

All pricing figures, billing axis, contract terms.

Verified 2026-07-08

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