It's easy to get confused.
The climate data market is crowded, jargon-heavy, and mostly built for compliance checkboxes, not real decisions. If you've tried other tools and come away frustrated, you're not alone. Here's what Koi is not, and why that matters.
Sound Familiar?
Three tools you've probably already tried.
ESG Ratings
What you get
Black-box, backward-looking scores on everything from board composition to recycling programs.
Koi Combines commercial and climate data, grounded in physical reality, to forecast the potential impact of company products, services, and market solutions.
General-Purpose AI
What you get
It sounded right. It wasn't defensible. A few difficult questions and the whole thing falls apart.
Koi Delivers auditable, transparent forecasts backed by established methodology and verified results.
Carbon Accounting
What you get
A precise record of one company's emissions. The rearview mirror, and a narrow one. Tells you what was emitted, not what a technology changes across an entire market.
Koi Provides forward-looking, systems-level data: what does this technology displace, in which markets, at what scale. The answers that actually drive capital allocation.
So What Is Koi?
A forecast engine.
The kind of output that ends the "but how do you measure impact?" conversation. One system. One methodology. One number that ties your climate story and your commercial story together: clearly, auditably, and at whatever scale you operate. Built on close to a decade of research, by the team that helped write the methodologies everyone else references.
8+ yrs
of methodology refinement. This did not come from a hackathon or a pivot. It was built and validated over close to a decade.
300x
faster than doing it yourself. The same rigor that used to take months of consultant time now runs in minutes.
10,000+
interoperable forecasts. Baseline + Technology + Market: the atomic units of climate impact intelligence, at scale.
See what a forecast
actually looks like.
Not a slide deck. Not a one-pager. A real, structured forecast built for a solution you care about, ready to share with your LPs, your board, or your next due diligence call.
FAQ
Avoided Emissions vs. Other Metrics
Clarity on how avoided emissions relate to the terms climate investors and operators encounter most.
How are avoided emissions different from carbon offsets?
Carbon offsets are tradeable certificates representing past or present emissions reductions. They are primarily a financial instrument used to neutralize an organization's existing footprint. Avoided emissions, by contrast, are a forward-looking impact metric: they quantify the GHG reductions a climate solution is projected to enable over its commercial lifetime. Offsets look backward at what has already happened; avoided emissions look forward at what a technology will prevent.
What is the difference between avoided emissions and financed emissions?
Financed emissions (sometimes called Scope 3 Category 15) measure the absolute GHG emissions associated with a financial institution's loans and investments, a backward-looking footprint metric. Avoided emissions measure the climate solutions enabled by those same investments, quantifying how much CO2e a portfolio of climate technologies is projected to prevent. PCAF and GHG Protocol are developing standards for reporting both; Koi provides the avoided emissions side of that equation.
Who uses Koi for avoided emissions data?
Koi is used by institutional investors, venture capital and private equity funds conducting climate due diligence, climate technology startups quantifying their impact for investors and grant applications, accelerators and incubators providing portfolio-level analytics, and financial platforms building climate data infrastructure. The CRANE Tier is free and used by 6,000+ users including researchers and educators.