The carbon credit market runs on trust, a commodity that has been in short supply. For a seaweed farmer in Indonesia or a mangrove restoration project in Florida, proving that a tonne of carbon was actually sequestered requires expensive, on-the-ground verification. It is a problem of measurement, and a small team out of the University of Waterloo believes the answer is not on the ground, but in orbit.
hum.ai, formerly known as Coastal Carbon, is building what it calls multimodal foundation models for earth observation [hum.ai, retrieved 2024]. The company's stated goal is audacious: to develop an artificial general intelligence for the natural world [hum.ai, retrieved 2024]. Its more immediate application, however, is decidedly concrete. Its AI models are designed to quantify biomass, like seaweed, from satellite imagery, creating the audit trail needed to issue carbon credits [Forbes, retrieved 2026].
From Coastal Carbon to a General Intelligence
The company's origins are visible in its previous name and its first demonstrated use case. As Coastal Carbon, the team focused specifically on using AI and remote sensing to verify and monitor blue carbon projects [Crunchbase, retrieved 2026]. A profile from the University of Waterloo notes the alumni-founded company secured $1.6 million to help fight climate change [University of Waterloo, retrieved 2026]. The technical work involved training models to analyze satellite images to measure things like seaweed growth, providing a scalable alternative to manual surveys [Forbes, retrieved 2026].
That specific application appears to have been the wedge into a broader ambition. The company now positions itself as a pioneer of foundation models that go beyond internet text, trained instead on satellite remote sensing fused with real-world ground truth data [hum.ai, retrieved 2024].
The Wedge: Verifying What You Cannot Touch
The initial market is the voluntary carbon market, specifically nature-based solutions. Customers are described as being in nature conservation, carbon dioxide removal, and government sectors [hum.ai LinkedIn, retrieved 2024]. The company lists Amazon AWS and the United Nations as partners [Climate Draft Job Board, retrieved 2026]. The backing from a cluster of specialized investors, including climate-focused F4 Fund and hard-tech incubator HF0, alongside Inovia Capital and Propeller Ventures, suggests the thesis has found an audience [F4 Fund].
The People Building It
Founders Thomas Storwick and Kelly Zheng, both University of Waterloo engineering alumni, lead the company [University of Waterloo, retrieved 2026]. Storwick holds a master's degree in chemical engineering, while Zheng is a PhD candidate in the same field [University of Waterloo, retrieved 2026]. The team also includes a remote sensing lead with a PhD in Earth Sciences [Coastal Carbon, retrieved 2026].
| Role | Background Note |
|---|---|
| Thomas Storwick (Co-Founder) | Waterloo Engineering alum (BASc '19, MASc '21) [University of Waterloo, retrieved 2026] |
| Kelly Zheng (Co-Founder) | Waterloo Engineering alum, PhD candidate in chemical engineering [University of Waterloo, retrieved 2026] |
| Rob Braswell (Remote Sensing Lead) | PhD in Earth Sciences [Coastal Carbon, retrieved 2026] |
The Risks on the Horizon
For all its technical ambition, hum.ai operates in a field where success is measured in contracts, not citations. The most immediate challenge is moving from technical capability to commercial validation. The company's public materials cite customer sectors but do not name specific commercial customers or deployed products [Perplexity Sonar Pro Brief, retrieved 2024].
- Proof of scale. The core risk is demonstrating that its models work reliably across diverse geographies and ecosystems, not just in research settings.
- The regulatory context. Carbon credit methodologies must be approved by standards bodies like Verra or the Gold Standard.
- The data moat. The company's long-term advantage depends on accumulating a proprietary dataset of satellite imagery paired with high-quality ground truth.
The Next Twelve Months
The coming year will be about translation: turning technical prototypes into paid deployments. A first publicly disclosed contract with a carbon project developer or a registry would be a significant signal. Financially, the company appears to be operating with early-stage capital. The previously reported $1.6 million raise as Coastal Carbon likely provided the initial runway [University of Waterloo, retrieved 2026]. Given its current hiring push and ambitious roadmap, a new funding round to support growth would be a logical next step.