KMM Investment Holdings Pte Ltd

Our Core Business: SurplusMap

“AI won’t replace the captain — but captains using AI will replace those who don’t."

KMMI together with the Norwegian Government amongst others, is an investor in SurplusMap (www.surplusmap.com) which is a pioneering company in the electric vehicle (EV) charging industry, founded in 2020 in Norway. The company has quickly established itself as a leader in providing innovative and sustainable charging solutions for electric vehicles. Surplusmap is broadening services to include the maritime and commodity sectors. 

SurplusMap has been at the forefront of technological advancements in the EV charging sector. The company introduced a unique energy management system that utilises artificial intelligence to predict energy demand and optimise charging schedules. This system not only enhances the user experience but also contributes to grid stability and energy conservation.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

2. Predictive intelligence beats static reporting

The real shift underway is from descriptive dashboards (what happened) to predictive intelligence (what will happen). In EV infrastructure, SurplusMap forecasts grid load and demand peaks. In shipping, the same logic can predict optimal routing, maintenance cycles, and port congestion.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

3. Decision support, not automation

AI works best when it augments rather than replaces human judgment. In our world, a charging operator still makes the final call, AI just provides clarity. For fleets and shipowners, AI can surface risks or opportunities, but the captain remains in command.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

4. From static assets to dynamic systems

EV chargers evolved from isolated plugs into connected, data-rich energy nodes. Ships are undergoing a similar transformation, becoming part of a live network where every vessel, port, and route generates valuable data signals.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

5. The next frontier: shared intelligence

SurplusMap’s work proves that value compounds when multiple operators share comparable data. For maritime, that means benchmarking fleet efficiency, carbon performance, or routing patterns, creating industry-wide intelligence loops.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

6. Regulatory parallel

The EU’s AFIR regulation forces charger operators to share live data on status and pricing. Shipping will likely follow through IMO digitalisation standards, making openness and data comparability a key competitive advantage.

1. AI is only as good as the data pipelines behind it

In maritime, as in EV charging, the challenge isn’t building algorithms, it’s harmonizing fragmented operational data across assets, ports, and fleets. SurplusMap’s experience shows that the foundation of intelligence is high-quality, structured data pipelines. Without this backbone, ‘AI for shipping’ remains surface-level innovation.

7. Commodity-specific: AI in extraction and market adaptation

AI can support commodities through operational optimization, predicting equipment failures, improving safety, and refining energy yield. On the commercial side, AI-driven market analytics can forecast demand from purchasing sectors, optimize inventory timing, and model carbon-adjusted pricing scenarios. In short, AI offers producers and traders a bridge between traditional resource markets and the digital energy future.

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