Same expertise. Institutional-grade data to prove it.The platform that lets a lean team punch above its weight.
A mid-sized climate VC managing ~$200M knew impact inside and out. Their fund thesis was built on it. But when they went to raise their next fund they realized they needed a more scalable approach to evaluating the potential impact of investments. One that could start at screening, follow through confirmatory diligence, and carry all the way to post-investment LP reporting. The team already had the expertise. With Koi, they got the infrastructure to deploy it across every deal, every quarter, at the speed their fundraise demanded.
~$200M
AUM across two climate-focused funds
$200M+
target raise backed by institutional-grade impact data
Days
from screening to defensible impact forecast
Full
portfolio-level aggregation for LP reporting
The Situation
A lean team with deep expertise and a growing portfolio
The firm had deployed two previous funds into exceptional climate solutions across cleantech, energy, and industrials. Their investment team included professionals with deep climate and sustainability expertise. Impact wasn't a side consideration. It was central to their thesis, their track record, and their competitive edge.
But the team was already stretched thin. Screening new deals, running diligence, managing portfolio companies, and assembling LP reports all competed for the same small group of people. Every diligence process required bespoke impact modeling. Every LP report was a manual assembly job. The team needed a way to do more with the expertise they already had, not hire a data team they couldn't afford.
The Stakes
Sharper decisions, faster, from screening to LP deck
The firm was in market for their next fund. The LPs they were targeting, from institutional allocators to family offices with climate mandates to fund-of-funds with their own impact frameworks, expected methodology, comparables, and portfolio-level aggregation. Not as a nice-to-have, but as table stakes. And the firm wanted to deliver it, not just for the fundraise, but because better impact data meant better investment decisions at every stage.
The opportunity was clear: if impact evaluation could start at screening and flow seamlessly through diligence, portfolio monitoring, and LP reporting, the team could move faster, allocate with more confidence, and tell a stronger story to LPs without adding headcount. The same lean team, operating at a fundamentally different scale.
The Solution
The infrastructure that lets impact experts operate at scale
Using Climate Decisions Monitor, the firm plugged Koi's modeling engine into every stage of their workflow. At screening, they could evaluate a company's decarbonization potential in hours instead of weeks. During diligence, Koi produced asset-level avoided emissions forecasts the team could interrogate and defend. Post-investment, the same models fed directly into portfolio monitoring and quarterly LP reporting, all under consistent methodology from first look to final deck.
Koi didn't replace the team's impact expertise. It gave them leverage. The platform handled the heavy infrastructure: LCA databases, technology diffusion models, grid emissions factors, supply chain physics. The investment team stayed focused on what matters most: finding exceptional climate solutions, running rigorous diligence, and deploying hundreds of millions of dollars into the companies that will define the transition. Koi became part of their fundraising narrative, giving LPs confidence that this fund could consistently quantify both the commercial and climate impact potential of every dollar deployed.
Firm Profile
- Type
- Climate-Focused VC
- AUM
- ~$200M
- Stage
- Raising next fund ($200M+)
- Portfolio
- 20+ climate solutions cos.
- Koi Role
- Scalable impact data infrastructure
Product Used
Climate Decisions Monitor
Defensible, audit-ready intelligence on portfolio impact with provenance your LPs can trace, built for the speed of investment.
Why Koi
Climate-focused VCs already know impact. What they need is leverage. Koi gives a lean investment team the same data infrastructure a large institution would build internally, from screening through LP reporting, so they can make sharper decisions faster and deploy capital with confidence.
Outcomes
- Fund raised with LPs citing impact data rigor as a key differentiator
- Screening-to-diligence impact evaluation compressed from weeks to days
- Consistent, LP-ready portfolio reporting on a repeatable quarterly cadence
- Lean team operating at the scale of a much larger organization
You find the companies.
We quantify the impact.
Your team already knows impact. Koi gives them the infrastructure to operate at scale, from screening through diligence to LP reporting, so they can make sharper decisions, move faster, and deploy capital into the climate solutions that matter most.