Connect Fontavis intelligence with the systems, models and research environments your organization already uses.
Access structured data across real estate, venture capital, private credit and digital markets through supported APIs, data feeds, exports and integrations — giving teams more flexibility in how they work with private and digital market information.
One connected data foundation across the entire Private & Digital Market Ecosystem.
Fontavis Data
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Client Workflows
Real estate revolves around properties, transactions, owners and financing. Venture capital revolves around companies, financing rounds, investors and funds. Private credit revolves around borrowers, facilities, lenders and sponsors. Digital markets revolve around assets, venues, liquidity, networks and protocols. Fontavis preserves those market-specific structures while connecting them through a common intelligence framework.
Fontavis Connected Data Model
Potential supported datasets vary by market, availability and production coverage.
API access is available for supported datasets and implementations. Where an API product exists for your use case, it can bring relevant Fontavis data into internal research tools, investment applications, portfolio systems, screening tools, analytics environments, CRM systems and internal dashboards.
Request a Demo to discuss API access and implementation for your organization's specific data and workflow requirements.
For organizations that need structured datasets outside the Fontavis interface, supported data feeds can provide another way to incorporate intelligence into internal systems — research databases, portfolio analytics, data warehouses, internal models, market monitoring and business intelligence.
Where supported, users can export selected Fontavis information for additional analysis and internal workflows — for comparable analysis, investment committee materials, internal research, portfolio analysis, market mapping and reporting.
Fontavis integrations are positioned around reducing unnecessary movement between disconnected systems.
Bring relevant company, investor, manager or relationship information into supported CRM workflows.
Connect relevant portfolio and market intelligence with investment-monitoring environments.
Use Fontavis data within supported analytics and visualization platforms.
Incorporate structured datasets into an organization's central data environment.
Connect Fontavis intelligence with internal research and knowledge-management workflows.
One of Fontavis's strongest data propositions is its ability to represent relationships across private and digital markets — supporting research questions that are difficult to answer from flat datasets.
"Which managers have exposure to this market?" · "Which lenders finance borrowers associated with this sponsor?" · "Which funds have exposure to a particular company or sector?"
Cross-market data helps organizations investigate investment themes without artificially separating the companies, assets, capital and technologies involved.
Information from private and digital markets can arrive in different formats, naming conventions, currencies, timestamps and reporting periods. Fontavis organizes supported data into more consistent structures wherever possible.
Where supported, Fontavis helps identify when different records refer to the same company, manager, fund, property, borrower, investor, digital asset or organization — recognizing that perfect entity resolution is not guaranteed across all sources.
Professional investment data requires context. Where relevant, Fontavis makes important information traceable to its source and methodology, and clearly distinguishes reported information, public disclosures, regulatory information, third-party data, calculated values, estimated values and Fontavis research.
Digital markets introduce additional requirements around timestamps, multiple trading venues, trading pairs, order-book data, blockchain networks, protocols, token identifiers and on-chain activity. Fontavis normalizes supported digital-market information while preserving the source and market context behind each datapoint.
Unlike public markets, private-market information can be fragmented across documents, manager disclosures, regulatory filings, company information, transaction records, property information, credit agreements and fund reports. Fontavis organizes supported information around the entities and relationships relevant to investment research. The objective is not simply to collect more records — it is to create a structure that makes private-market information easier to search, compare and connect.
Where actually supported, professional data access is designed around appropriate controls.
Bring structured intelligence into internal investment research.
Enrich company, asset, manager and opportunity discovery.
Connect internal analysis with broader market information.
Bring relevant market context to portfolio monitoring.
Connect managers, funds and investor relationships.
Use structured Fontavis information inside internal models and BI environments.
Connect market, portfolio and investor intelligence with internal systems.
Bring company, investor and deal intelligence into sourcing and portfolio workflows.
Connect borrower, facility, lender and market information with credit systems.
Bring property, transaction and financing intelligence into research workflows.
Use market, venue, network and protocol information in analytics environments.
Connect manager, fund and underlying exposure data with internal research and portfolio systems.
Organize intelligence across multiple private and digital market exposures.
Identify the markets, datasets and workflows relevant to your organization.
Choose the supported access method appropriate to the use case.
Bring Fontavis intelligence into the relevant internal environment.
Apply the information across research, analytics, portfolio and decision-support workflows.
Connect private and digital market data with the research, analytics and investment workflows that power your organization.