Enterprise Decision Operating System.

Stop cleaning data. Start making decisions.

Enterprise data is messy and fragmented. Kimaru helps you capture the human judgement that closes data gaps and makes better recurring decisions.

See How a Decision Model Works
Kimaru connects realistic choices and predicted outcomes to measured results and reusable decision memory.

Decision Intelligence

As AI tools enter the workforce they increasingly make tasks more efficient. However, they don’t solve the underlying problem of siloed, fragmented, messy data. Human planners still need to pull everything together in their heads to make good decisions. Kimaru is an enterprise decision operating system that solves this problem by:

  • Connecting data from ERP, CRM, SCM, WMS, TMS, and other systems of record
  • Mapping rules, regulations, and internal best practices
  • Simulating decisions to forecast outcomes
  • Incorporating human planners’ wisdom and judgment
  • Orchestrating agents (SAP Joule, Microsoft Copilot, Codex, Claude, etc.) and APIs to execute approved decisions
  • Tracking and optimizing decisions, making them repeatable and governable

The result is lower costs and increased revenue

Kimaru AI Demo

Three different things

Copilot or agent

Does the task you ask: answer, search, write, recommend, or act.

Agent harness

Connects AI tools to data and systems, routes work, and controls permissions.

Kimaru Decision Model screen showing a recommendation, predicted outcome, and human review controls.

Kimaru Decision Model

Helps you choose what to do, get approval, measure the result, and remember what worked.

Decision memory remains

Agents and harnesses can change. Your company’s decision memory should remain.

Simulate a decision before you commit.

Choose the First Decision to Model

Kimaru simulates decisions before you act.

Kimaru uses a causal Decision Model to map what drives an outcome, simulate realistic choices before action, and learn by comparing predicted results with actual results.

Model what drives the result

Kimaru uses causal AI to connect operational facts, expert knowledge, business rules, actions, and outcomes.

Simulate realistic choices

Test likely effects on cost, service, capacity, material, and risk before the company acts.

Learn from the actual outcome

Compare predicted with actual results and update the Decision Model for the next decision.

A better decision creates measurable value

Wilton Weavers: production planning

Wilton Weavers used Kimaru for aircraft-carpet production planning, where ERP data had to be reconciled with material readiness, loom compatibility, lot-mixing rules, capacity, and planner judgment.

Kimaru built a digital decision model that captured both system data and human planning knowledge, operating as an intelligent decision layer above existing enterprise systems without disrupting established planning processes.

Kimaru did not replace Wilton’s ERP or planners, rather it augmented them making production decision visible, governable, measurable, and reusable.

AI tools perform tasks. Kimaru simulates decisions.

Copilot can answer. An SAP agent can act. Kimaru tests what is likely to happen before the company commits.

Kimaru’s causal Decision Models compare realistic choices, show their likely consequences and tradeoffs, get the right approval, and learn from the actual result.

Kimaru Blog

Talk to us about one decision.

Tell us which recurring decision you want to improve.

en_USEnglish
ja日本語 en_USEnglish