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Kimaru.ai

Decision optimization platform for recurring manufacturing and supply-chain decisions.

🇺🇸 Austin, Texas · Founded 2024 · 2–10 people

Pre-seedDecision intelligenceArtificial intelligenceManufacturingSupply chainLogistics

Kimaru AI, Inc. builds a decision optimization platform for manufacturing and supply-chain operations. It combines data from existing enterprise systems, human judgment, business rules and AI recommendations to model feasible choices, compare trade-offs, route approvals to named decision owners and measure outcomes. The company was founded in November 2024 by Evan Burkosky (CEO) and Hareesh Nambiar (CTO), who first worked together in Japan. It is headquartered in Austin, Texas and took part in the Alchemist Japan accelerator.

Open to

  • Customers & pilots

The contact page invites companies to bring one hard recurring decision and book a decision walkthrough.

Product

ProductIn use in a measured customer pilot

Kimaru Decision Optimization Platform

Models recurring operational decisions, compares feasible options before commitment and records outcomes.

Who it's for: Manufacturing and supply-chain organizations making high-stakes recurring decisions across teams and systems

  • Work Hub, Causal AI Modeler, Decision Review and Decision Tracker cover the loop from recommendation to measured result
  • Named decision owners approve, adjust, defer, reject or escalate each recommendation
  • Deploys in the customer's own cloud, a private Kimaru-managed tenant, or on-premises

Customers

Manufacturers and supply-chain operators. Use cases include production and capacity scheduling, procurement and supplier responses, inventory allocation, logistics routing and customer commitments. The site describes a pilot with an aircraft carpet manufacturer.

Traction

Updated Oct 2026
43% to 75%on-time production at an aircraft carpet manufacturer
96% to 100%ERP-versus-plan pass rate in pilot checks

Funding

Undisclosedtotal raised
  • Pre-seedUndisclosed
InvestorsAlchemist AcceleratorKevin Brockland

Team