AI case study

DiMutoSupply chain tracking

Maintenance work held back innovation. DiMuto now trains defect models 35% faster, using agents to cut through complex trade paperwork.

Published|3 months ago

The story

Context

An agri-food trade platform addresses the 20-30% of global food production lost to waste by tracking individual produce items across the supply chain from packhouse to retailer.

Challenge

Critical data and machine learning workloads were siloed in a fragmented hybrid environment, slowing down the training of defect-detection models....

Solution
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Scope & timeline

  • ~35% reduction in AI model training time

Quotes

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The company

DiMuto logo

DiMuto

dimuto.io

Agrifood trade platform for supply chain traceability and trade finance.

IndustryTransportation & Logistics
LocationSingapore, Singapore
Employees11-50
Founded2018

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

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