ketteQ
Also known as: PolymatiQ, ketteQ Intelligent Digital Agents, Intelligent Planning Agents
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
Target customers
Deployment options
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
Sources & related URLs
Agentic Index coverage score
9.5 / 14 capabilities · 68%
| Integrations & Tool Calling | Full |
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Agents 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 connect to CRM, ERP, MRP and WMS. Prebuilt connectors cover SAP, Salesforce, Oracle and Microsoft Dynamics, and standard REST and OData APIs handle other systems. Salesforce is supported but not required; inside Salesforce, the platform answers available to promise questions in under 15 seconds while a sales rep is on a call. SourceketteQ, ketteq.com, /releases/agents and /faqsread 2026-10-05 |
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| Workflow Orchestration | Full |
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A growing roster of coordinated Intelligent Digital Agents aligns decision making across demand, supply, inventory and customer commitments, all sharing the PolymatiQ intelligence layer. The current agents are Demand, Supply, Inventory and CRM, grouped as planning agents and execution agents that coordinate from supplier to customer; the CRM Agent now carries the customer commitment work, along with promotions, fulfillment and economics. Each agent weighs thousands of possible actions and runs thousands of probabilistic experiments at once. SourceketteQ, ketteq.com/releases/agents and ketteq.comread 2026-10-05 |
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| Knowledge Grounding & RAG | Full |
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PolymatiQ 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. Its solvers evaluate thousands of scenarios at once to show variability, risk and tradeoffs, and planners can change parameters, assumptions and scenarios in real time. SourceketteQ, ketteq.com/platformread 2026-10-05 |
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| Human Oversight & Guardrails | Full |
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Agents operate independently but never blindly, executing within policies, objectives and guardrails defined by the business, with humans focused on strategy, oversight and intent. Guardrails can include business rules and approval workflows, and every decision is open to human override. ketteQ calls this agent led, human guided planning. SourceketteQ, ketteq.com/releases/agents and /faqsread 2026-10-05 |
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| Security, Identity & Governance | Full |
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ketteQ states SOC 2 Type II compliance, with AES-256 encryption at rest, TLS 1.2 or higher in transit and strict tenant isolation. An enterprise security framework is documented, with end-to-end encryption, granular access controls and continuous monitoring on Salesforce and AWS. ketteQ publishes no ISO 27001 certificate and links no trust page. SourceketteQ, ketteq.com/faqs and /platformread 2026-10-05 |
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| Observability & Auditability | Full |
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PolymatiQ enables explainable, governed and coordinated decision making with immutable audit trails, and presents plans tied to a business goal and confidence score. Every recommendation keeps a complete audit trail, and each decision comes with its rationale and tradeoffs. SourceketteQ, ketteq.com/platform and /releases/agentsread 2026-10-05 |
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| Memory & State Persistence | Not documented |
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ketteQ describes no memory store for its agents, for each agent or for each user, and no learning that changes what the agents are allowed to do. PolymatiQ learns from outcomes and tunes itself over time, and that learning lives in the solver, not in memory the agents keep. SourceketteQ, ketteq.com/platform and /releases/agents; ketteq.comread 2026-10-05 |
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| Deployment & Data Residency | Not documented |
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Hosting is cloud SaaS on Salesforce and AWS, and ketteQ publishes no residency claim, region list, region choice or customer environment option. Its flexible deployment means agents either sit on top of an existing planning system or run on ketteQ's own platform, and both run as SaaS. The first use case goes live in four to eight weeks above existing systems, with no data migration, and tenants are strictly isolated. SourceketteQ, ketteq.com/faqs and /releases/agents; ketteq.comread 2026-10-05 |
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| Prebuilt Agents, Templates & Packs | Full |
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Ships a growing roster of coordinated prebuilt Intelligent Digital Agents, each focused on a specific domain, including Demand Planning, Inventory and Customer Commitment agents. The four agents named today are Demand, Supply, Inventory and CRM. The platform's modules span planning (IBP, supply, demand, inventory and service parts) and execution (control tower, fulfillment and allocation, asset management, work orders, and service and part delivery). SourceketteQ, ketteq.com/releases/agents and /platformread 2026-10-05 |
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| Triggers & Channel Coverage | Full |
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Agents 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. They sense change and recalibrate as it happens, and ketteQ says a supply plan that once took 4 to 6 hours now runs in 25 seconds. SourceketteQ, ketteq.com/releases/agents and ketteq.comread 2026-10-05 |
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| Model Flexibility & Routing | Not documented |
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PolymatiQ is a proprietary, patent pending agentic AI solver built for supply chain planning, and ketteQ describes no customer choice of LLM or model routing. The solvers power Quintus, ketteQ's planning product, and return an answer in seconds. SourceketteQ, ketteq.com/platform and /faqsread 2026-10-05 |
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| APIs, SDKs & MCP Extensibility | Partial |
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As a Salesforce-native application, ketteQ's objects are exposed through the Salesforce platform's API layer, which customers can use to extend it. ketteQ also cites standard REST and OData APIs, but publishes no developer portal, API reference, SDK or MCP server of its own. SourceketteQ, ketteq.com/releases/agents and /platform; ketteq.comread 2026-10-05 |
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| Testing, Debugging & Optimization | Full |
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PolymatiQ's thousands of multi-pass experiments keep tuning the engine's own assumptions against realized outcomes after deployment, and its outputs are plans tied to a business goal with a confidence score. The customer's plans feed that loop, and what it improves and measures is the solver. Customers report results such as 4 times better demand planning accuracy at Trimble Transportation and $17 million in inventory savings at quip. SourceketteQ, ketteq.com and /platformread 2026-10-05 |
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| Browser & Computer Use | Not documented |
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No browser or computer use is documented; agents work through planning system integrations and carry out decisions there. Those connections run through prebuilt connectors and standard REST and OData APIs. SourceketteQ, ketteq.com/releases/agentsread 2026-10-05 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented 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
Recent platform changes
ketteQ announced the general availability of Quintus, an AI agent for supply chain orchestration that utilizes the PolymatiQ solver and real-time Python code generation. The agent reasons through complex scenarios, executes unscripted tasks, and operates across existing enterprise resource planning platforms.
Bears on: Workflow orchestration
View sourcePricing
Contact sales
deployment path (augment existing systems vs full platform)
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.
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Alternatives to ketteQ
The closest documented capability profiles to ketteQ among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Bretton AI10.0 / 14Adds documented Deployment & Data Residency and Browser & Computer Use
- Suplari8.0 / 14A lighter documented profile than ketteQ
- Unit219.0 / 14Adds documented Browser & Computer Use
- Apprentice.io8.5 / 14Fuller documented coverage on Security, Identity & Governance
- Optimal Dynamics7.5 / 14A lighter documented profile than ketteQ
- Phaidra7.5 / 14A lighter documented profile than ketteQ
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded