What’s new?

• Free Forever tier: View data for every public model—reports, charts, assumptions, and high-level details—without paying.

• Self-serve billing: Manage subscriptions, buy credits, and track usage directly in-app.

• “Free to see, pay to use” pricing: Core viewing stays open; advanced actions (references, cloning, exporting, private sharing) require an unlock.

Why is it important?

You can explore Koi without friction, then pay only when you need deeper functionality. Self-serve billing gives you control—no back-and-forth emails to upgrade, add credits, or check usage.

This makes Koi more accessible if you’re curious about climate-tech impact, while reserving advanced tooling once you’ve identified your specific use cases.

How Do I Use It?

1. Create an account on Koi to browse any public model.

2. When you’re ready to go deeper, unlock with credits or upgrade your plan.

3. Visit Settings → Billing/Usage to see your plan, credit balance, and payment options.

What stays gated?

• Full references

• Cloning & editing for full customization

• Exporting data (Excel, JSON, and more)

• Sharing private models outside of your organization

FAQ

• What can I do with a free license?

With a free license, you can add a couple additional team members to your organization account, browse all public models, and add those models to collections. We also provide you a starting set of Koi credits, so you can unlock a few models of interest at no charge.

• What happens when I run out of credits?

You can continue viewing public models freely as well as any models you’ve previously unlocked, but you’ll be unable to perform advanced actions until you purchase more credits or upgrade your plan.

• Can I collaborate with my team?

Yes - the free tier includes a few additional seats for your organization. All users within an organization have access to the same unlocked public models. Similarly, the pool of credits available to you is shared across the team.

What’s new?

• Edit Mode — we gave editing features a facelift for a cleaner UI and to prevent inadvertent changes.

• Version History — edits to models result in a new version, so the history of changes is preserved and auditable.
  
  

Why is it important?

Versioned edits provide a complete, tamper-proof record of every change to your Koi models. You can trace how data inputs evolved over time, refer to older versions if a new version produces unexpected results, and demonstrate to regulators or stakeholders that your impact forecasts are accurate, reproducible, and rigorously governed.

How Do I Use It?

Edit Mode

To modify a private model, select Edit Mode from the Actions menu. A pencil icon or Edit button will appear next to editable components, which include:

• Model name

• Addition or removal of scenarios and markets

• Details for baseline and solution scenarios

• Value chain phases for baseline and solution

• Addressable market details and values

• Market capture parameters

• References

You can preview your edits in real-time. Once satisfied, click Save in the upper right corner. You will then be prompted to classify your changes as either Major or Minor to help maintain a clear version history of your model. Once saved, your modifications will be reflected in the model.

Who is this for?

• Impact Analysts evaluating how changes to assumptions or data inputs affect avoided‐emissions forecasts

• Compliance Teams needing a complete trail of edits for regulatory reporting

• Stakeholders & Reviewers who want to see when and why key model parameters were adjusted

FAQ

• How do I view earlier versions? 

To view earlier versions, go to a model's Datasheet and select the desired version under Viewing Version.

• Who can view my changes? 

Once a new version is saved, anyone with access to the private model can see the updated version.

• Is there a limit to how many versions are stored? 

No - make as many updates as you’d like, and retain all of the historical context.

What’s new?

• Koi Credits — a flexible currency to unlock deeper features on an as-needed basis.

• Unlock Technology Model — we’ve opened all public models so anyone can view. Spend 5 credits to access full references, clone/customize, export, and share private models.

Why is it important?

Wider adoption stalls when impact data is hard to find, slow to parse, or too expensive. So we made the essentials free: fast, trustworthy numbers you can actually use. Koi Credits kick in only when you move from “looking” to “doing”—customizing, exporting, or collaborating in ways that would otherwise cost far more time and money.

How Do I Use It?

Acquiring Koi Credits

Koi credits are a flexible currency within Koi that can be used to unlock advanced features. You receive Koi credits when you:

• Signup / upgrade bonuses (never expire)

• Monthly allotments with paid plans (expire at month’s end)

• One-time / top-up purchases (never expire)

Org-wide pool: Credits are shared across your Organization. Anyone in  your organization can spend credits. Anything one teammate unlocks is unlocked for everyone.

Check your balance, expirations, and purchase options on the Usage page. See the Pricing page for how many credits come with each plan.

Spending Koi Credits

Currently, Koi Credits can only be used to Unlock a Technology Model. In the future, there will be additional advanced features available to unlock. When you unlock a technology model, you will have access to:

• The full reference lists

• Clone & customize the model

• Export all data to XLSX or JSON
  Share private models with others

How to Unlock a Model

1. Open a technology model forecast

2. Go to the Datasheet tab

3. Click Unlock Model

4. Done—those features are now available for that specific version

Note: When you unlock a technology model, you are only unlocking the version of the technology model that you are currently viewing. You will not have full access to prior or future versions of that technology model.

Who is this for?

• Explorers comparing multiple models

• Builders tweaking assumptions or exporting data

• Collaborators sharing private work inside (or outside) the Org

FAQ

• Which credits are used when I unlock a model? 

Koi automatically applies the credits that expire first. Once those are gone, it uses any non‑expiring credits.

• Does my team share a pool of credits? 

Credits are shared between all users in your Organization. Any user within your Organization can use your Organization’s credits. If you unlock a model, any users within your organization will also view that model as unlocked. 

• How does this work with sharing? 

When you share a private model with a user outside your organization, that model will be locked for them. If you have granted them editor or manager access, they will be able to view and edit the references to your model. If you have granted them manager access, they will be able to share your model with others. However, they will not be able to clone or export your model until they have unlocked it themselves.

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

1. Navigate to the custom forecast you want to share.

2. Click the "Share" button.

3. 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

1. Go to the collection you want to share.

2. Go to the Shared & Export tab. Click the "Share" option.

3. 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!

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:

1. 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”.

2. 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”.

3. 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.

4. 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.

5. 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:

1. 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”.

2. 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.

3. 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.

4. 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.

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

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.

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.