Changelog
Follow new updates and improvements to Koi.
March 19th, 2025
What's New?
We're excited to introduce enhanced sharing capabilities in Koi! You can now share your custom forecasts and collections directly with your team members or external stakeholders. Whether you're collaborating on an analysis or showcasing your impact, sharing is now seamless.
Why Is It Important?
We know effective collaboration is crucial for impactful climate action. With our new sharing features, you can easily showcase your analyses and scenarios—whether it's with teammates, investors, or partners—making it simple and clear to share your impact proudly.
How Do I Use It?
Share a Custom Forecast
Navigate to the custom forecast you want to share.
Click the "Share" button.
Enter an email or group, Select the permissions for that entity, and Click share. You will see that entity appear in the list below.
Note: All versions of the forecast within this collection will automatically be shared as well, as well as all GHG intensities and market data.
Share a Collection
Go to the collection you want to share.
Go to the Shared & Export tab. Click the "Share" option.
Enter an email or group, Select the permissions for that entity, and Click share. You will see that entity appear in the list below.
Note: Access to all sub-collections and custom forecasts within this collection will automatically be granted as well. Should you remove access to a collection, access to all that collection’s children will be removed as well unless shared separately.
Permissions
When sharing, you can control how others interact with your data using three levels of access:
Viewer: Can view the collection or forecast but cannot make any changes.
Editor: Can modify a forecast or collection they have access to, including editing any subcollections or forecasts within collections, as well as adjusting GHG intensities and market data of forecasts.
Manager: Has full control over the shared item, including the abilities to share, edit, and manage permissions. Managers can also view all users with whom a forecast or collection has been shared, not just those they have personally shared with. A manager cannot remove access from the owner.
These roles are designed to facilitate effective collaboration while maintaining appropriate control over your data.
Pro Tips
Share with Non-Registered Users: You can share your forecasts and collections with individuals who don't have a Koi account yet. When they sign up for Koi, they will automatically have access to that data.
Share with Groups: If you're collaborating with a team, consider creating a group within Koi. Sharing your forecasts or collections with a group ensures all members have immediate access, simplifying management and enhancing teamwork.
Stay Updated: Shared items reflect real-time updates and provide access to all versions of the data, so your collaborators always have the latest information.
Frequently Asked Questions
Can I restrict access to certain parts of a shared collection?
Currently, sharing a collection grants access to all its contents, including subcollections and custom forecasts. If you need more control, consider structuring your collections accordingly.
How do I know who has access to my shared items?
In the sharing settings of each forecast or collection, you can view and manage the list of collaborators.
Can collaborators share my forecasts or collections with others?
Yes—but only if you grant them Manager permissions. Otherwise, they will not be able to share your data with others directly (but they may be able to make a copy and share that).
Coming Soon
Email Notification of Sharing – In the future, Koi will automatically notify users via email when a forecast or collection is shared with them. Currently, you'll need to manually inform users about shared items.
Request Access – If you come across a forecast or collection you need access to, you can send a request to the owner for permission, streamlining collaboration.
Share a Snapshot – Share a static, view-only version of your data (instead of live updates).
Transfer Ownership – Move ownership of a forecast or collection to another user.
Shareable Link – Open access to anyone with a model or collection link. However, a user will alway need a Koi account to view any Koi data for security purposes.
Want these features faster? Check out our public roadmap where you can upvote them or request a feature to let us know what’s most important to you!
February 17th, 2025
What’s New?
We're excited to introduce "Collections" — a versatile new feature in Koi designed to organize, group, and compare various analyses, datasets, or sub-collections. Whether you're:
assessing a single company with different impact scenarios,
managing a portfolio of companies,
or even coordinating multiple portfolios,
collections enables aggregate data views and analysis. Manage analysis complexity with built-in comparisons of outcomes from different scenarios or markets and gain a clear perspective on potential impacts.
Why Is It Important?
In the ever-evolving world of investment and innovation, staying ahead means understanding the ripple effects of each technological intervention. Collections offer a structured playground to compare and contrast various scenarios and representations of your innovations or investments. Supercharge your decision-making with both aggregated and detailed comparisons now available within Collections.
How Do I Use It?
Create a Collection: Begin by creating a new Collection under the Library section in My Account. Collections can represent anything from a single company to complex market comparisons to a portfolio of companies (and beyond).
Add Data: Add relevant analyses to your Collection by navigating to a technology model and selecting "Add to Collection". You can incorporate various elements such as technology models, baseline scenarios, solution scenarios, market sizes, and market captures. It's also possible to add incomplete analyses and update them later.
Compare or View Aggregate Results: Delve into the aggregated data or explore specific comparisons to tailor insights to your strategic needs.
Pro Tips
Nested Collections: Utilize the ability to nest Collections within one another to create a multi-layered data hierarchy. This enables portfolio or technology class segmentation, as we have seen requested by some Koi users. For uniformity, we recommend creating a shell collection for each analysis so you can add your own description and allocation factor.
Allocation Factors: Assign an allocation factor (from 0% to 100%) to each sub-collection within a Collection. This allows you to specify the influence each sub-collection has on the overall avoided emissions calculations of the parent collection.
Automated Unit Conversion: Combine and view your results in any unit you want with automated unit conversions. “Mixed” units are the default units for each individual analysis. In order to view a rollup of your results, you’ll need to select a unit that is not “mixed”.
Frequently Asked Questions
Are there any limits to the number of Collections I can create? There are currently no limits to the number of Collections or components you can create, allowing you to scale your analysis as needed.
Can I view the aggregate impact of a Collection? Yes, you can view the aggregate impact of a Collection by using the comparison/rollup toggle located in the collection settings toolbar. *However, exercise caution as this process can lead to potential double-counting of avoided emissions across different technologies. It's important to remember that the summed values within a Collection may not accurately represent the total impact.
Can I share Collections with my team members or other organizations? Sharing capabilities are under development and will be available soon!
Use Case 1: Create a Collection to Represent Your Current Portfolio of Company Investments
Objective: Manage and analyze a portfolio of investments in companies that are geared towards developing sustainable solutions.
Step-by-Step Guide:
Initiate a New Collection:
Navigate to the Library section under My Account.
Under Library > Collections click on “Create New Collection” and provide a descriptive name, for instance, “2025 Sustainability Portfolio”.
Add Companies to the Collection:
For each company in your portfolio, find a representative technology model in Koi by searching either by the company domain or technology name. Alternatively, you can create your own custom model.
From the technology page, click on “Add to Collection”. Add a collection with that company’s name. Then add the analysis to that new collection. Alternatively, create a new collection from the technology page when you click “Add to Collection”.
Organize and Structure the Collection:
Within All Collections (in My Account), add each company collection to your portfolio collection.
Optional: Within the Collection, organize companies by categories such as technology type, market impact, or investment size. For instance, separate companies into renewable energy, waste management, and sustainable agriculture.
Specify the allocation percentage if you want to denote how much of your resources are invested in each company on the details tab of your parent collection.
Analyze Portfolio Performance:
Use the Collections tooling to compare the performance and impact of different companies or technologies.
Analyze avoided emissions, market reach, and technological impact to assess which investments are performing according to your sustainability goals.
Adjust:
Add new companies or technologies to the collection as your investment strategy evolves over time.
Use Case 2: Compare Different Baseline Scenarios in a Model for a Sensitivity Analysis
Objective: To compare potential outcomes from displacing different incumbent technologies and evaluate the sensitivity of impact. This analysis will help to understand how variations in baseline assumptions (e.g., GHG intensities, market sizes) influence the projected impacts of proposed technologies.
Step-by-Step Guide:
Initiate a New Collection:
Navigate to the Library section under My Account.
Click on “Add New Collection” and name the collection to reflect your current investment portfolio, for instance, “Scenario Comparison”.
Select a Technology or Initiative:
Choose the technology or initiative for which you want to perform the sensitivity analysis. This selection should be based on strategic importance or where outcomes are most uncertain. In this example, we’ll compare Fermentation-Based Protein-Rich Meat Alternatives replacing chicken, beef, or poultry meat.
Set Up Baseline Scenarios:
Navigate to a technology model.
Select (or create) different baseline scenarios and markets reflect a range of possible conditions you want to explore. For instance:
Scenarios replacing chicken meat, beef meat, and poultry meat. Or,
A conservative scenario with lower market growth, an optimistic scenario with higher market adoption, and a best-guess scenario.
Once you have a scenario to include in the comparison (by selecting from baseline and market options), click “Add to Collection” and add it to your created Collection.
Compare Results:
Navigate to your Collection to view results. You can use the Executive Summary tab for a snapshot of the results or the Charts tab to visualize the time varying results.
Tip: You can change the type of results to view avoided emissions, baseline scenario impact, solution scenario impact, or market projections depending on what you want to investigate.
January 31st, 2025
New
Improved
What’s New?
Koi Studio is here! We have revamped the ways in which you access the tools and data inside Koi.
Why is it Important?
Koi has evolved to become a comprehensive modeling and collaboration suite and it was time to refresh the product interface to more adequately support core workflows. The new Koi Studio layout provides more rapid access to the key tools and features within Koi and is the beginning of a series of features we’re rolling out focused on collaboration and sharing across startups, investors, and asset owners.
How Do I Use it?
Easy! Just log in!
Pro Tip
Please give us feedback! We greatly appreciate any and all feedback, bug reports, feature requests, and more. Send us an email to feedback@koi.eco or submit directly at https://product.koi.eco
January 24th, 2025
New
Feature
What’s New?
You can now customize impact forecasts to represent your specific technology implementations. Modify the Koi-provided scenarios and markets or create your own and explore how your changes influence a technology’s impact potential.
Why Is It Important?
Customizing impact forecasts is important for several reasons:
Accuracy: By tailoring the forecasts to your specific technology implementations, scenarios, and markets, you can ensure that the results are more accurate and relevant to your organization.
Relevance: The ability to create your own scenarios and markets allows you to focus on the technologies and applications that are most important to you.
Flexibility: Customizing forecasts enables you to explore different possibilities and see how changes in your assumptions affect the potential impact of a technology.
Decision-Making: The insights gained from customized forecasts can help you make more informed decisions about which technologies to invest in and how to prioritize your resources.
How Do I Use It?
Start by clicking the ‘Customize Forecast’ button from any Climate Solution Detail page.
You will then be taken to your custom forecast, which will have a number of indicators that you’re able to edit it. You will see a pencil icon next to the title, which will allow you to edit the title and description of your forecast.
Selections for solution and baseline scenarios, serviceable available market, and serviceable obtainable market will display icons to edit or delete the available options. There is also a button to add new options.
You can add, drag and drop nodes for the solution and baseline scenarios as well as edit their values.
You can also hide Koi-provided references and add or edit your own references for the selected scenarios, available and obtainable markets.
Pro Tips
Any changes you make to Koi-provided data will be applied to a copy to preserve the integrity of the original data. However, changes you make to data created by you will be applied directly.
View and revisit your custom forecasts from your account library at https://app.koi.eco/forecasts.
If your data is represented with a different unit than what’s shown in the model, that’s ok! You can enter your data with the units you have, and they will be converted to the unit selected in the Analysis Options.
Frequently Asked Questions
What actions will apply edits to my data?
Selections made from dropdown menus (e.g. start and end years, units) will not apply edits to your data, but dragging and dropping nodes or editing/adding new values will.
Can I share my Custom Forecast with my team members or other organizations?
Sharing capabilities are under development and will be available soon!
Can I track changes to my Custom Forecast?
The ability to view a version history of your Custom Forecast is in our roadmap.
November 27th, 2024
New
Feature
What’s New?
You can download a CRANE-compatible export of Koi data.
Why Is It Important?
CRANE is a wonderful free resource for assessing impact potential, however, there are many technologies for which it lacks the data. The ability to export data from Koi helps fill that data gap.
How Do I Use It?
Go to any solution detail’s Datasheet tab.
Scroll down to Data Exports and click CRANE export.
In the dialog that appears, click Download to CRANE. This will save a json file that can be uploaded to CRANE as an input file.
Navigate to CRANE and drag and drop or upload the file as a CRANE-Inputs.json file.
Pro Tip
You can make additional customizations (e.g. tailoring uncertainty values) to the data directly within CRANE.
Frequently Asked Questions
Why do the upper and lower bounds look different in CRANE than Koi?
While Koi and CRANE largely use the same methodology to calculate avoided emissions, their applications of uncertainty differ. CRANE uses a more conservative approach that applies uncertainty to the solution intensity and obtainable market prior to calculating unit impact and resulting impact potential. Koi applies the uncertainty calculations after calculating the avoided emissions. In other words, their order of operations differ. This reflects differing theories on how to account for uncertainties in avoided emissions calculations.
October 21st, 2024
New
Science
Koi allows users to select a GHG intensity scenario to use for modeling a technology’s baseline and solution. The specific scenarios available for selection vary by impact model but generally fall into one of three broad categories:
Static intensities that reflect the lifecycle emissions of systems today. In this "business as usual" scenario, the solution and/or the baseline emissions intensity remains the same each year of the analysis.
Dynamic intensities (exploratory) that reflect future scenarios where the emissions intensity changes according to current trajectories and/or anticipated policies.
Dynamic intensities (normative) that reflect future scenarios where the emissions intensity changes to achieve specific targets (e.g., Net Zero).
Static Intensities
Koi’s static intensities are typically derived from LCA literature or database findings for a conventional system. The solution GHG intensity may be directly studied in the primary literature or inferred from intervention points within the conventional system. The sources and methods used to quantify each lifecycle are documented in the description of the scenario and the model references.
A user can determine if the baseline and/or solution GHG intensity is static by scrolling to view the GHG intensity chart at the bottom of the Per Unit tab.
In the example below, the solution GHG trace is static while the baseline is dynamic. The mouse hovers over the solution data for the year 2033 to display the value at that point in time.
Dynamic Intensities
Koi’s dynamic intensities are typically derived from a static intensity with a normative or exploratory trend applied. This results in a model that is both high-resolution—meaning it depicts the system’s value chain by phase and GHG contribution—and dynamic, meaning the system’s total GHG intensity changes over time.
Koi’s high-resolution GHG intensity data has lifecycle phase granularity.
The plot below contains a dynamic baseline and solution GHG intensity. The decline is modeled to reflect the Science Based Targets initiative (SBTi)’s Absolute Contraction Approach, with a 4.2% annual reduction rate needed to limit warming to 1.5°C.
Most Koi impact models start with default normative dynamic intensities that follow the SBTi Absolute Contraction Approach. This provides a reasonable trajectory for the future before additional manual research is done to determine industry-specific trends. This is consistent with how companies are staging their decarbonization approaches as well. From the SBTi:
“The Absolute Contraction Approach (ACA) is a one-size-fits-all method that ensures that companies setting targets deliver absolute emissions reductions in line with global decarbonization pathways. This is the approach the vast majority of companies setting science-based targets choose. And two-thirds of the targets approved by the SBTi in 2020 used the ACA method to set targets limiting global warming to 1.5°C.”
Models may have exploratory dynamic intensities available for selection as well. These data are generally industry- or technology-specific, such as the SBTi FLAG target for beef or the EU ETS benchmark for synthesis gas. These data provide a more granular forecast for the conventional value chain.
*Note that Koi also includes low-resolution, dynamic baselines, such as the industry-level targets set by regulatory and compliance frameworks. All baseline intensities can be searched independently of their associated impact models using the baseline search functionality.
Selecting the Appropriate GHG Scenarios
Koi researchers set impact model defaults to result in conservative and plausible avoided emissions outcomes. The alternative GHG intensities available for selection are determined based on plausible outcomes, data availability, technology-specific considerations, industry context, and Koi research area prioritization. Many Koi impact models start with four GHG intensities available:
Static baseline (conventional value chain with business-as-usual)
SBTi-aligned baseline* (dynamic improvements in the conventional baseline to limit warming to 1.5°C)
Fully additional solution* (solution intervention in baseline value chain + dynamic SBTi-aligned value chain)
Static solution (solution intervention in baseline value chain)
*Typical intensities selected for impact modeling defaults
It is important to select the GHG intensities that align with the impact model use case. Some general guidelines for deciding this are outlined below.
When to use dynamic intensities:
Models with time horizons beyond 10 years
Models where conservatism is prioritized
Models of industries/technologies that have demonstrated progress towards Net Zero
When to use static intensities:
Models with time horizons of 10 years or less
Models where the conventional technology is not expected to decarbonize significantly
Models where the conventional industry/technology is off-track for meeting Net Zero goals
Models where it is unknown or unclear if the conventional technology is on track for Net Zero
Models where accuracy of today’s impacts is prioritized over model conservatism
When to use a mix of static and dynamic intensities:
If it is unclear whether the solution value chain would also realize the conventional system's GHG decline, it is recommended that the solution is modeled with the static intensity while the baseline is modeled with the dynamic intensity. This approach assumes the solution has specific intervention points that result in efficiencies compared to today’s value chain but acknowledges that the conventional technology may improve in ways that the solution cannot. This will yield the most conservative avoided emissions result (e.g., the least beneficial future for the climate solution).
September 23rd, 2024
New
Feature
What’s New?
You can now "double-click" into Koi's expert-researched data for projected market uptake, allowing you to dive deeper into projections for the Serviceable Available Market and Serviceable Obtainable Market.
Why Is It Important?
While the Avoided Emissions Factor (AEF) is crucial, it only tells part of the story. Projected market uptake provides a broader perspective on the potential impact of a technology by multiplying its AEF by its estimated market size. This helps users evaluate the technology's impact at scale.
How Do I Use It?
Go to any solution’s detail page and click on the Projected Market Uptake tab.
Choose from the Available Market and Obtainable Market options.
Hover over chart data points to view detailed numbers.
Pro Tips
Zoom In on the Obtainable Market: Toggle the Show Available Market option on/off to focus solely on the Obtainable Market.
Market Compatibility Warnings: If you select a baseline scenario in the Per Unit Impact tab (e.g., Beef) that doesn't align with the Available Market (e.g., Poultry Meat Production), you’ll see a warning.
Customize S-Curve Start Year: If the default start year for market uptake isn't specified by the researcher, it typically starts in the current year. You can modify this by adding
&captureStartYear=####to the URL, changing the default start year for all S-curves without a preset start date.
Frequently Asked Questions
Can I view my selected market details in the Solution Summary Page?
Yes! Any changes to Available or Obtainable Market selections in the Projected Market Uptake tab will be reflected on the Solution Summary page.
Can I input my own information for projected market uptake?
Not yet, but this feature is coming soon! For now, the data is based on Koi’s expert research. Stay tuned for future updates that will let you input your own custom data.
September 3rd, 2024
New
Feature
What’s New?
We’ve rolled out a brand-new Solution Summary Page that offers a higher-level overview while still letting you "double-click" into the details. This page now automatically calculates the potential or planned impact of a climate solution by integrating incumbent market data, helping you quickly quantify the impact of new technology. Plus, with a clear visual representation of the calculation, it's easier than ever to communicate how that impact is determined.
Why Is It Important?
Understanding the planned or potential impact of a technology is often the ultimate goal for our users. While the Avoided Emissions Factor (AEF) is critical, it's just one part of the equation. By incorporating additional variables and automating the calculations, the Solution Summary Page eliminates the need for the user to do any math, saving you time and effort. The visual representation also serves as a powerful tool for clearly conveying this information to stakeholders.
How Do I Use It?
Navigate to any solution within Koi using the search bar.
The Solution Summary Page will be the default view, giving you an instant snapshot of the potential or planned impact.
Interact with the visual equation or data by clicking on elements to select different scenarios.
This high-level view is intuitive, letting you quickly understand key metrics while still allowing you to dig deeper when needed.
Pro Tips
Display Options: Tailor your analysis by adjusting the years of analysis, switching between charts and final year values, and choosing between cumulative and annual results. This flexibility ensures that the data presentation suits your specific needs.
Editable Details: Click on any box in the visual representation to edit details, customizing the impact calculations to better reflect your scenario. If this option is disabled, it's because no additional data options are currently available.
Quick Assessment: Use the Solution Summary Page as your go-to for evaluating new or unfamiliar solutions. It’s the perfect starting point to see if a solution aligns with your goals before further tailoring the analysis to represent a specific company.
Unit Impact Integration: The Unit Impact is still accessible via an additional tab. Any updates to the baseline or other details made on this page will automatically be reflected on the Solution Summary Page.
Frequently Asked Questions
Can I still access the Avoided Emissions Factor details?
Yes, the Solution Summary Page is an additional feature. You can still find the Avoided Emissions Factor information in the Per Unit Impact tab.
Can I input my own information into the equation?
Not yet, but this feature is on the way! For now, the equation relies on Koi's expert-researched data. Stay tuned for updates that will let you input your own data for even more customized results.
August 26th, 2024
New
Feature
We’re often asked about the data we have on incumbent technologies or baseline scenarios to which our climate solutions are compared. Well, now you can search for those. Enter a technology you’re looking for or related terms, and Koi’s semantic search will automatically include baseline scenarios in its search results. These results can be found in the “Baseline Scenarios” tab.
When you click on a baseline scenario result, it will expand the list to display a list of applicable climate solutions for the selected baseline.
From there, you can select a climate solution and it will navigate to the solution’s page so you can view more in-depth data using the selected baseline.
August 15th, 2024
New
Feature
One of the most challenging steps to modeling a company’s impact can be finding an appropriate technology model to represent a specific company. We take pride in our cutting edge search functionality that uses a vector database to capture the semantic context of a query and compare it to Koi’s climate solutions. Now, we’re pushing the envelope one step further by enabling domain search capabilities directly. You can now enter a website for an organization into the search bar and Koi will automagically 🪄 provide the closest matching technology models for you in a matter of seconds.
Getting Started:
To take advantage of this new feature, simply go to the search bar in our application and enter a domain. Koi will handle the rest, providing you with a list of matched climate solutions within moments.
Frequently Asked Questions:
The search takes a minute, what is it doing? When you enter a domain, our software will scrape information about that company from the website, make a determination of the technology that company is working on, compare against all the climate solution models within Koi, and make a determination of the most likely matches. It’s not instantaneous, but it generally only takes about 15 seconds–so no need for a coffee break!
The search wasn’t able to identify any matches, how should I proceed? This technology is cutting-edge and always improving. We are constantly looking for ways to improve it, so you can always check back soon and it’s possible the results will be better! (We also welcome any feedback to improve the experience.) In the meantime, simply copy and paste a phrase, sentence, or paragraph that describes the company’s technology, and Koi will take it from there.
Pro Tip:
The process takes a little time, and so once you make a domain search, we store that information and you will find the same returned results if you immediately re-initiate that search (which is why subsequent identical searches are noticeably faster). In reality, there is some randomness resulting from the generative AI utilized, and if we rerun the results from scratch, there is a possibility of slightly different results. If you don’t feel the results are quite right, you can add “?rerun=true” to the end of the domain and it will force Koi to rerun the results.