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From Energy and logistics to construction and urban planning, our Private Companies Showcase explored how emerging technologies are shaping a more sustainable and resilient future. Javier Oficialdegui, Head of Global Banking at �۶���Ƶ, noted in his opening remarks, “We’re shining a spotlight on the companies and investors who are building a better future, one that’s smarter, more sustainable, and more connected.”

Rather than viewing AI as a purely efficiency-driven tool, panellists emphasized its potential to help tackle climate challenges, reduce emissions, and reimagine global industries for long-term environmental and economic stability. What united them was a shared urgency: to build smarter, greener systems that can meet the demands of a rapidly changing world.

The opening panel explored how AI is unlocking new efficiencies across legacy industries such as energy, logistics, and manufacturing. Nathan Brawn, Chief Operating Officer at Context Labs¹, described how their platform – powered by Asset Grade Data (AGD^TM) and AI – helps organizations connect emissions data to operations, compliance, and value creation. By quantifying carbon and commercializing performance, traditional energy companies can turn sustainability into a competitive advantage.��

We help clients turn carbon performance into a competitive advantage. It’s not just about compliance; it’s about proving value to the market.

- Nathan Brawn, Chief Operating Officer, Context Labs

Meanwhile, Andrei Danescu, CEO and Co-founder, Dexory, highlighted how AI-powered “digital twins” and autonomous robots are transforming warehouse operations. He explained that their technology enables companies to run entire logistics networks with near-perfect efficiency by improving visibility, orchestration, and real-time decision-making.

Both emphasized the importance of integrating disparate data systems, many of them decades old, into unified platforms that support AI-driven insights. The result? Faster return on investment, lower emissions, and more resilient supply chains.

In our panel focused on the Future of Cities, the conversation looked at how AI is reshaping construction and real estate. From modular housing to intelligent energy systems, panelists explored how technology can address urban challenges like housing shortages, energy demand, and climate resilience.

Markus Fuhrmann, Co-Chief Executive Officer, Gropyus, described how his company is using robotics and AI to build affordable, sustainable housing at scale. Gropyus has vertically integrated the entire construction process, from design to on-site assembly, using AI-optimized models and robotic systems to increase precision and minimize waste. By manufacturing modular components off-site, then assembling them like a kit on location, Gropyus can deliver housing solutions more quickly and efficiently than traditional methods.

We’re not just building homes; we’re building a new kind of supply chain. One that’s digital, efficient, and designed for the future.

– Markus Fuhrmann, Co-Chief Executive Officer, Gropyus

A recurring theme throughout the day was the growing alignment between financial returns and measurable environmental or operational impact. In a panel on impact investing, representatives from Beyond Net Zero, Teachers’ Venture Growth (TVG), Ontario Teachers' Pension Plan, and Bridgepoint shared how AI is enabling more targeted and effective capital deployment.

One investor described a portfolio company using AI to predict and mitigate wildfire risks by analyzing satellite imagery, weather patterns, and vegetation data – enabling earlier interventions and resource planning.

The takeaway? Institutional investors are increasingly looking for companies that can deliver measurable outcomes, on emissions, efficiency, and enterprise value. As one panelist put it, “Impact is no longer a trade-off. It’s a multiplier.”

As technology matures, investor focus is shifting from broad AI enthusiasm to execution-ready business models that deliver measurable outcomes. Increasingly, attention is turning to the integration of AI into legacy systems across industries such as energy, logistics, and manufacturing – where the emphasis is on tangible returns like operational efficiency, carbon reduction, and supply chain resilience. This evolution is also driving demand for greater data transparency and emissions traceability, especially in tightly regulated sectors. Rather than isolated point solutions, companies are prioritizing AI platforms that support enterprise-wide decision-making and embed intelligence into core operations, enabling scalable, responsible growth aligned with long-term transformation goals.

The future of AI isn’t just about algorithms – it’s about infrastructure. From warehouses to power grids to city blocks, AI is being embedded into the systems that power our lives. As Javier Oficialdegui, Head of Global Banking at �۶���Ƶ, noted in his opening remarks, “We’re shining a spotlight on the companies and investors who are building a better future, one that’s smarter, more sustainable, and more connected.”

_Footnotes

^{1����}Context Labs is an enterprise technology company helping organizations improve carbon management by connecting emissions to operations, compliance, and value creation. Its platform uses Asset Grade Data (AGD™) and AI to quantify, reduce, and commercialize carbon.