End-to-end solutions to the challenges of private asset data.
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Bring all your data together, normalized and ready-to-use. Private asset data is enriched by multiple sources, and standardized for easy analysis across asset classes, with a total fund view that includes private and publicly traded assets.
Ease the burdens of data processing and sourcing. Fusion ingests data from across vendors and fund administrators, and normalizes it algorithmically, without the need for specialists. Get expansive data on your holdings and intelligence on investors.
LEARN MOREEasily access and integrate your public and private market data into your tech stack using modern cloud-native channels, including API, Jupyter Notebook, Snowflake, Databricks, and more. Benefit from all your data, consumed and integrated wherever you are, in any data environment.
LEARN MOREFrom data aggregation, to integration, to analysis, Fusion offers solutions at all points in your workflow. Built for completeness from the ground up, every component of Fusion is designed to integrate seamlessly into your existing tech stack.
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Get a total fund view spanning all your public and private holdings. Fragmented and non-standardized private market data can limit your ability to analyze across asset classes. Manual clean up and processing needed to integrate disparate data takes time and resources and can limit your ability to move quickly and utilize data at scale. Fusion captures and integrates all your public and private assets holdings and transactions data across any asset class; public securities, private equity, private credit, real estate, venture capital, natural resources, infrastructure, and more.
Your public and private data are normalized, formatted and modeled, with standardized identifiers generated by Fusion’s advanced ID synthesis algorithms. The resulting data is ready for use, with full interoperability between public and private holdings. Fusion’s data is linked on your behalf with well-formed relationships. Use the Data Explorer to view and analyze your data, switch between multiple portfolios, and navigate across linked datasets. Simplify your workflow and get a more complete view of your portfolio.
See a more complete view of the private asset market, with data from multiple vendors, standardized and ready for analysis. The industry relies on multiple providers of private markets data to cover new and emerging asset classes, making it necessary to use several vendors for comprehensive coverage. The process of integrating this data can be time consuming, error prone, and lead to compromises in the completeness of data.
Fusion integrates your data across multiple portfolio administrators including J.P. Morgan Securities Services and captures granular data attributes gathered through the investment workflows, enriching it with data from leading data vendors for private assets. The resulting data is optimized, standardized, and more complete, so you don’t lose granular detail, even as you expand your view.
Data processing is handled algorithmically, and updated automatically, so you always have the latest data, without the need for manual work. Our roll forward and bi-temporality offerings in Fusion help solve for lagged and unlagged returns catering for private assets reporting frequencies. In addition, with the power of our data model a client user can easily connect to risk and ESG datasets where available.
Vendors supported: MSCI Private Capital Solutions, Pitchbook, Canoe, J.P. Morgan Aumni and more.
Gain transparency and analyze every detail of your fund spanning public and private asset classes. While publicly traded securities have detailed data that conforms to industry standards, it can be much more difficult to get this same level of insight when analyzing privately held assets. Private asset data often lacks granularity and detail, and that detail can also be difficult to preserve when integrating disparate sources.
Fusion helps capture relevant data points through the investment journey (e.g. from an LP agreement to a GP quarterly statement), enriching them with reference data from J.P Morgan’s vast data universe, and incorporating them into Fusion’s linked data model. By integrating across these sources, Fusion captures and preserves all the granular data needed to deep-dive into your holdings. The linked data model incorporates asset hierarchies, so you can easily drill down into underlying assets and funds.
Keep track of valuable deal-level data without the need for manual research and linkage. The non-public nature of private markets can make it difficult to trace the details of deal data across an asset’s lifecycle.
Fusion ingests deal-level data from vendors and links instrument, deal and entity data, making it easy to track performance across deals and get detailed information. Analyze data points including valuation before and after investment, VC rounds, CEOs, and acquisition percentages, so you have a more complete understanding of an asset’s performance. All relevant data is automatically linked, so you can find what you need.
Capture more data points from throughout your workflow, from asset allocation and manager selection to funding and deal tracking. Working across multiple platforms makes sourcing, aggregating, and using the data difficult. Fusion offers a complete, end-to-end solution, so you don’t lose granularity working across multiple vendors and services.
Tight integration between components ensures that data is enriched and updated throughout your workflow. Data points extracted by through our partners are integrated back into the linked data model, so you have a complete, up-to-date source of truth with lineage going back to the documents.
Much of private asset data is shared in static, unstructured documents, and a huge amount of manual work is needed to digitize and integrate data. Inevitably, this leads to compromises in how much data can be effectively preserved and leveraged.
J.P. Morgan has partnered with Canoe to develop a suite of powerful document management tools that scan your portals, emails, and repositories, tagging and indexing your docs. Natural language processing AI identifies and extracts data from your documents at scale, not limited to transaction and operational data but also asset level research datapoints.
Data is integrated with the rest of your data using Fusion’s linked data model, making it easy to trace data lineage in your documents and find the information you need. In addition, we use the power of Aumni within J.P. Morgan to also extract and analyze granular data buried in limited partner agreements, so clients have access to data across pre and post transaction documents.
Get all your data in one place, with a complete view of your portfolio across multiple portfolio administrators. Working with private market data can be frustrating and limiting. Data from portfolio holdings, management fee details and capital call/distributions is spread across many sources, each with their own inconsistencies, making it difficult to reconcile across portfolio administrators. Integrating data requires teams of specialists that cost resources and time in delays for consumption for downstream workflows as performance calculations and reporting.
Fusion ingests portfolio and collateral data across your administrators, and data from third-party vendors like Pitchbook, MSCI Private Capital Solutions, and J.P Morgan Aumni. Your data is then processed by Fusion’s proprietary transformation engine, creating a single, harmonized source of truth. Data is standardized so you get a consistent view across all asset classes from public securities to private equity, private credit, real estate, venture capital, natural resources, infrastructure, and more.
Eliminate the time and resources needed to align private and public data for analysis across asset classes. Each asset class comes with specific nuances such as direct investments into real estate properties, terms and conditions, side letters, covenant details in loan agreements. Private asset data lacks standardization and bringing together data in a way that preserves transparency and interoperability can be time-consuming and costly.
Fusion fully automates the process of data normalization, making it easier to consume and operate at scale as your data needs grow. Fusion updates its schema automatically, tracking vendor changes to keep you up-to-date. The proprietary data normalization engine, designed by the data experts at J.P. Morgan, models data with well-formed structures, and applies standardized identifiers. The resulting data is consistent and ready to integrate at all points in your workflow.
Working with multiple data sets can lead to inconsistencies that make it difficult to efficiently operate at scale. Different fund administrators and data vendors often have discrepancies in their identifiers and mapping them manually is time-consuming and prone to human error. With no standard identifier in the Private markets space there are no data joins and hence automated updated become impossible.
Fusion’s continuous and proactive approach identifies and corrects these inaccuracies and incompleteness, even as instrument identifiers evolve through listings of private companies and secondary transactions. Fusion’s identifier matching engine assigns consistent identifiers, normalizing, linking, and processing datasets so they are immediately usable for analysis. The resulting data enables security mastering at the fund, investment and asset level.
Optimize your workflow for efficiency, with complete end-to-end solutions that work together. Fusion is designed from the ground up to ease friction in your workflow at all points in the process – without time-consuming data wrangling to bring multiple technologies into alignment.
From fundraising to investment allocation, to tracking cash flow and performance, Fusion enriches data throughout the journey sourced from portfolio administrators, data extraction specialist, third party vendors and benchmark providers rather than losing data that doesn’t work between solutions.
Data is normalized, standardized, and formatted on your behalf, so you don’t have to worry about the time and expense of data wrangling. Multiple cloud-based distribution channels make it easy to consume your data and integrate it into your existing workflow, and a suite of tools make it easy to explore, customize, and analyze.
Gain insight into company holdings and ownership. Keeping track of private asset ownership can be difficult, with each data source providing only a part of the picture. Fusion tracks company hierarchies across numerous data sources to give you a more complete understanding of your investments. Entity level joins for instruments at different levels help track valuations and information for underlying companies across different Series of fund raising while keeping the entity level linkages intact to establish and maintain continuity.
These hierarchies are continuously updated, so you’re always working with the latest information. Fusion Data Explorer makes it easy to navigate from parent to subsidiary to understand and analyze your private asset investments. Data management tools let you customize hierarchies to ensure data is fit-for-purpose, while preserving the underlying data and linked relationships.
Get a better understanding of your holdings, with detailed private asset data. The lack of a unified source for privately held assets makes it difficult to assess company fundamentals and track performance. Without a complete understanding of underlying assets, it’s tough to accurately assess your exposure. Fusion data is more complete, capturing detailed data points tailored to each asset class, including companies, funds, real estate, natural resources, and infrastructure. Data is incorporated using the Fusion linked data model, making it easier to assess fundamentals and track your holdings.
Access and integrate pre-processed, ready-to-use data products for private markets, created on your behalf with the most relevant sets of attributes, in a single view without further configuration needed. Fusion Data Catalog provides a storefront experience to discover new datasets available across asset class themes and providers. Browse and search the Data Catalog and select your private assets data feeds to integrate.
Integrate private markets data directly into your existing applications and workflows with the new REST API. Utilize the Fusion Python and Java SDK to accelerate your development. The PyFusion SDK simplifies your experience with the Fusion API in Python, taking care of credential and session management, and efficient parallel data downloads.
Take full advantage of cloud-based distribution channels with native support for Databricks and Snowflake. The Fusion UI makes it simple to set up and manage connections directly. Fusion’s Snowflake connector automatically handles data creation as updates become available, allowing you to immediately access up-to-date information. Take advantage of Databricks’ environment for enhanced compute and machine learning capabilities. Fusion generates normalized parquet files to work natively within Databricks.
Fusion Drive makes accessing data as easy as navigating your computer. Your Fusion data appears on a virtual network drive, allowing you to explore and download data or open it directly in your apps.
Fusion Drive democratizes data for all users – no coding or API knowledge required. Access your Fusion data on a virtual network drive, just as you would files on a local drive. Easily navigate through folders and download datasets as .CSV files. Open Fusion data directly from your app for easy integration into your workflow.
Don’t miss an update. Event-driven notifications eliminate the need for you to call the API to determine if data is available. Easily integrate push notifications into your apps, to see whenever relevant events occur, such as the publication of a new dataset instance. Event notifications are tailored specifically for you, removing the need to filter through updates across the catalog. Receive notifications for subscribed datasets in your own private catalog and the Fusion common catalog.
Save and share data securely with the Fusion Private Data Catalog. Upload and distribute data securely within your own organization, for easy collaboration. Fusion creates a private data catalog on your behalf in a single, secure tenancy with robust entitlements and controls.
Get data from multiple vendors in a single connection, standardized and ready for analysis. The industry relies on multiple providers of private markets data to cover new and emerging asset classes, making it necessary to use several vendors for comprehensive coverage. The process of integrating this data can be time consuming, error prone, and lead to compromises in the completeness of data.
Fusion integrates your data across multiple portfolio administrators including J.P. Morgan Securities Services and captures granular data attributes gathered through the investment workflows and enriches it with from leading data vendors for private assets. The resulting data is standardized, enriched and more complete, so you don’t lose granular detail, even as you expand your view. Data processing is handled algorithmically, and updated automatically, so you always have the latest data, without the need for manual work.
Vendors supported: MSCI Private Capital Solutions, Pitchbook, Canoe, J.P. Morgan Aumni and more.
Get all your data in one place, with a complete view of your portfolio across multiple portfolio administrators. Working with private market data can be frustrating and limiting. Data from portfolio holdings, management fee details and capital call/distributions are spread across many sources, each with their own inconsistencies, making it difficult to reconcile across portfolio administrators. Integrating data requires teams of specialists that cost resources and time in delays for consumption for downstream workflows as performance calculations and reporting.
Fusion ingests portfolio data across your fund administrators, collateral administrators, and data from third-party vendors like Pitchbook, and MSCI Private Capital Solutions, and J.P Morgan’s own in-house private market data. Your data is then processed by Fusion’s proprietary transformation engine, creating a single, harmonized source of truth. Data is standardized so you get a single, consistent view across all asset classes from public securities to private equity, private credit, real estate, venture capital, natural resources, infrastructure, and more.
Eliminate the time and resources needed to align private and public data for analysis across asset classes. With each asset class comes specific nuances such as direct investments into real estate properties, terms and conditions inside letters, covenant details in loan agreements. Private asset data lacks standardization and bringing together data in a way that preserves transparency and interoperability can be time-consuming and costly.
Fusion fully automates the process of data normalization, making it easier to consume and operate at scale as your data needs grow. The proprietary data normalization engine, designed by the data experts at J.P. Morgan, models data with well-formed structures, and applies standardized identifiers. The resulting data is consistent and ready to integrate at all points in your workflow.
Working with multiple data sets can lead to inconsistencies that make it difficult to efficiently operate at scale. Different fund administrators and data vendors often have discrepancies in their identifiers and mapping them manually is time-consuming and prone to human error. With no standard identifier in the Private markets space there are no data joins so automated updates become impossible.
Fusion’s continuous and proactive approach identifies and corrects these inaccuracies and incompleteness, even as instrument identifiers evolve through listings of private companies and secondaries transactions. Fusion’s identifier synthesis engine assigns consistent identifiers, normalizing, linking, and processing datasets so they are immediately usable for analysis. In the process what you get access to is fund, investment and asset level security mastering. Fusion updates its schema automatically, to keep pace with vendor changes.
Fusion’s Data Explorer lets you access and analyze your data with an intuitive UI. Get a comprehensive understanding of your portfolio, and deep dive into your holdings. The linked data model incorporates asset hierarchies, so you can easily drill down into underlying assets and funds. Smoothly navigate across connections and visualize your data with Fusion Graph technology. Compare all Fusion data, public and private, with full interoperability. Data is fully bitemporal with point-in-time history.
Fusion’s Data Mesh gives you more ways to consume and integrate data. Fusion meets you where you’re at, without the need to rethink your workflow or hire teams of specialists. The REST API makes it easy to integrate with Python or Java applications with just a few lines of code. Native support for Databricks and Snowflake help you leverage cloud-based distribution. For less technical users, Fusion Drive allows you to browse data sets right in Windows File Explorer or your web browser and integrate with Excel and Tableau.
Get detailed information about each data attribute captured. Fusion’s ontology-based approach to modeling organizes data to be easier to understand, and more uniform. Dive into each data attribute with a comprehensive data dictionary, with detailed definitions for terms as well as their corollary identifiers, to help you achieve a deeper understanding of your data and gain insights to power new strategies. Definitions can be called from the API or accessed and managed in Fusion Data Manager.
Manage your private assets data securely in a modern ecosystem. Fusion’s Data Manager gives you powerful controls to apply rules-based adjustments and overrides to your data. Apply your own lens on top of datasets, and ensure data is fit-for-purpose. Accommodate the needs of multiple lines of business without altering the underlying data. Tailor company hierarchies while preserving the underlying linkage to maintain continuity.
Choose the source data that suits your business needs, with customizable source tiering. Not all sources are identical; they can vary in completeness, timing, details, and accuracy for different types of assets. Choosing which data is best depends on the needs of your business. Fusion puts you in control of how your data is aggregated, with user-defined prioritization rules. Using intuitive self-service tools, you can set priorities based on region, timing, and more.
The logic can be simple, or complex, down to specific attributes. Customize your sourcing rules to ensure you’re always working with the data that’s best for you.
"We’re thrilled to extend our partnership and collaborate with Fusion on this initiative. With over 42,000 private market funds maintained in Canoe’s fund master, we are confident this partnership will bring greater efficiency and transparency to the data management process."
"MSCI is committed to helping clients build better portfolios across both public and private assets. We are thrilled to deepen our partnership with J.P. Morgan by making MSCI Private Capital data and insights available through Fusion, providing clients with seamless, interoperable access to this valuable information."
"The ability to combine data sources to assess performance and risks, while gathering insights on opportunities empowers better decision making. A solution like Fusion represents the next era of modernization for the investment industry and we’re proud to part of driving this shift."