50 years of logistics wisdom sat locked in founders' heads. Devs now query that expertise via AI to build automated cost-saving tools.
A Singapore-based logistics startup founded by veterans with 50 years of combined industry experience, aiming to blend freight intelligence with automation.
Supply chain blind spots and coordination issues increase shipping costs, while the startup struggled to efficiently transfer the founders' deep...
“We made the decision to become an AI-first company largely because we were inspired by Google Cloud solutions such as Gemini Gems, Notebook LM, and Vertex AI. As well as creating agents for our clients, we could apply an AI-first philosophy to our internal work.”
AI-driven analytics platform for supply chain optimization and logistics visibility.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Worked with TetriXX to engineer its solution to run in Google Cloud.
Related implementations across industries and use cases
Maintenance work held back innovation. DiMuto now trains defect models 35% faster, using agents to cut through complex trade paperwork.
Executives couldn't query a maze of 4,000+ messy data tables. Now, a chat agent finds the right data and answers questions in plain English.
Legacy servers stalled peak demand. Now, AI handles millions of requests, delivering client updates in under two seconds.
Scattered data and brittle connectors slowed insights for months. AI now normalizes invoices to deliver intelligence in hours.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Fragmented data caused excess inventory and manual workloads. Now, AI automates forecasts so planners can dynamically adjust stock.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
50 years of logistics wisdom sat locked in founders' heads. Devs now query that expertise via AI to build automated cost-saving tools.
A Singapore-based logistics startup founded by veterans with 50 years of combined industry experience, aiming to blend freight intelligence with automation.
Supply chain blind spots and coordination issues increase shipping costs, while the startup struggled to efficiently transfer the founders' deep...
“We made the decision to become an AI-first company largely because we were inspired by Google Cloud solutions such as Gemini Gems, Notebook LM, and Vertex AI. As well as creating agents for our clients, we could apply an AI-first philosophy to our internal work.”
AI-driven analytics platform for supply chain optimization and logistics visibility.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Worked with TetriXX to engineer its solution to run in Google Cloud.
Related implementations across industries and use cases
Maintenance work held back innovation. DiMuto now trains defect models 35% faster, using agents to cut through complex trade paperwork.
Executives couldn't query a maze of 4,000+ messy data tables. Now, a chat agent finds the right data and answers questions in plain English.
Legacy servers stalled peak demand. Now, AI handles millions of requests, delivering client updates in under two seconds.
Scattered data and brittle connectors slowed insights for months. AI now normalizes invoices to deliver intelligence in hours.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Fragmented data caused excess inventory and manual workloads. Now, AI automates forecasts so planners can dynamically adjust stock.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.