As former private equity investors, Chronograph Co-Founders Charlie Tafoya and Michael Bridge experienced firsthand how the private capital industry’s vast data corpus struggled to translate into meaningful informational advantages. Excel as the primary system of record, copy-and-paste as the dominant method of data transfer, and normalization across challenging taxonomies left the value of fund and portfolio company reporting siloed in spreadsheets.
This was the genesis of Chronograph — to unlock a trusted, reconciled dataset that could serve as the foundation for deeper insights and operational efficiencies. Over the past decade, Chronograph has built the data architecture to enable this for private capital Limited Partners and General Partners across the AUM spectrum, asset classes, and geographies. Today, more than $5.9 trillion in invested client capital is monitored on Chronograph, spanning roughly 15,000 funds and 258,000 portfolio companies.
This May, our inaugural user conference offered an opportunity to reflect on the scale of the community we have built. More than 200 LP and GP clients gathered in New York to share use cases, discuss the operating models underpinning their data supply chains, and exchange candid perspectives on the state of AI deployment across their organizations. We compiled some of the most notable takeaways from the conference below.
How can LPs and GPs combine their talent, technology, and processes to transform fragmented datasets and manual workflows into trusted architecture? Throughout the conference, clients discussed approaches to data supply chain design that unlock data as a strategic asset for their organizations.
Many attendees emphasized that technology architecture should be designed around business outcomes, but also flexible enough to adapt as their organizations evolve. Several described how their implementations initially focused on a high-priority use case or deliverable to “demonstrate value quickly.” Over time, however, the ability to continuously refine and expand underlying data models to support new systems, KPIs, analytics, and reporting requirements became critical to meeting changing business needs.
Data supply chains equally rely on people, and the importance of stakeholder buy-in was repeatedly emphasized throughout discussions. Participants noted that the success of their initiatives required their business owners to take ownership of configuration design, actively engage in workflows, and participate in data review and approval processes to build the confidence that ultimately drives trusted downstream data consumption across a firm.
Clients shared several examples of how data is shaping LP-GP relationships and being leveraged as a source of operational and investment alpha, including:
Private Capital’s Data Transparency Flywheel
LPs discussed how increasingly granular reporting from a subset of managers is raising expectations across their broader portfolios. As LPs gain access to more detailed and timely data from some GPs, they are seeking the same level of transparency from others, creating pressure across the industry to collect, structure, and deliver richer portfolio company data.
Participants noted that this dynamic has two implications. First, it makes data readiness and scalable reporting infrastructure critical to maintaining strong LP relationships. Second, it expands the volume of structured data available across the private capital ecosystem, giving both LPs and GPs more information to leverage in investment decision-making, portfolio management, and stakeholder communications.
Non-Financial Data as a Value Creation Lever
GPs discussed the value of non-financial KPIs and how Chronograph workflows can be configured to collect and centralize information ranging from debt facilities and operating metrics to value creation initiatives and exit forecasts. Participants noted that these trusted datasets are increasingly informing fundraising plans, portfolio operations, deal execution, and refinancing strategies.
As one LP noted, “generating attractive returns has become more challenging than it was five years ago.” Participants discussed how their Chronograph data is increasingly informing manager selection, co-investment opportunities through entry and exit multiple analysis, secondaries market pricing, and investment decisions more broadly through historical diligence datasets.
Further, as the distinction between LPs and GPs continues to blur among the largest institutions, several LPs commented on how their Chronograph datasets serve as the connective tissue between both sides of the organization.
Across panels and breakout sessions, attendees discussed their perspectives on AI experimentation, shared tangible use cases driving productivity gains, and opined on how the technology is changing how they interact with and think about their data models. Some of the most notable takeaways include:
Many firms remain model agnostic, continuing to re-evaluate and support multiple LLMs as the technology and user preferences evolve. Several attendees, however, suggested that this dynamic may erode over time. One LP, for example, noted that while their library of customized skills, workflows, and team processes could be recreated in another model, their robust Claude buildout has created a degree of operational stickiness.
Firms discussed how they balance an experimentation mindset with appropriate guardrails. While attendees discussed challenges such as managing hallucinations, overreliance on AI-generated outputs, and token costs, the overarching sentiment was that AI has turned “users into builders,” and firms have encouraged their teams to explore and build use cases that create value in their workflows.
That said, attendees were equally clear that AI is not changing the underlying standards of investing — analysis, recommendations, and decisions must remain defensible, auditable, and subject to the same frameworks. Teams are responsible for the final outputs, with firms noting that productivity should free up more time for review, validation, and critical judgment.
Chronograph’s infrastructure connectivity enables private capital investors to access trusted data through their AI interface of choice, including ChronoAI in-app intelligence, an MCP integration with Claude, and most recently a connector to ChatGPT and Codex. Attendees discussed with their peers how they are using these functionalities to drive productivity gains. Several use cases and takeaways that emerged from these discussions include:
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The value unlocked from these use cases is increasingly incentivizing clients to expand their data accessibility within Chronograph. As one attendee put it, “We have used it as a carrot by saying to our teams — when you submit your data, it flows into our system of record, is trusted, and is readily available for whatever you want to build.”
Participants broadly observed that as AI becomes embedded in day-to-day workflows and deliverables, strong input governance becomes critical. This is particularly true in private capital’s fiduciary context, where attendees emphasized the role of systems of record with versioning, approvals, and full auditability, noting that “LLM chats will not stand up against auditors and how reproducible artifacts remain paramount.” Further, as senior investment professionals become more active consumers of firm data via MCP servers, clients noted that data quality expectations have risen, driving greater focus on upstream review and governance workflows.
During the conference, our product and client development teams took the stage to showcase upcoming roadmap launches and recently released functionality. Select highlights include:
Today, Chronograph administers more than $1 trillion in aggregate quarterly marks across a diverse client base, giving us a unique vantage point into the bespoke needs of the private capital industry. Chief among them is the need for valuation technology that delivers flexibility and governance together, not one at the expense of the other. Chronograph Product Manager Sean Thomson showcased several upcoming enhancements aimed at increasing scalability and streamlining the user experience within an end-to-end cloud-based workflow.
In an interview, Sean discusses Chronograph’s differentiated approach to building valuation solutions for private capital, trends accelerating valuation cadences, and the critical role of front-to-back office engagement in valuation technology success.
As firms manage multi-strategy portfolios and complexity grows across organizations, Chronograph continues to enhance core functionality that delivers workflows, extraction, valuation, and reporting solutions that accommodate investors of all strategies and operating models.
At this year’s conference, Emily Mohrenweiser, Private Credit Client Development Director and former Performance and Portfolio Analytics Specialist at Blue Owl, explored this dynamic with a deep dive into private credit use cases, including extracting data from compliance certificates, automating add-back calculations, and configuring investment-level data collection workflows.
Earlier this year, Chronograph launched Semantic Search, enabling Limited Partners to query across their entire portfolio of unstructured documents using natural language. Domain-trained on private capital context, our client and product teams demonstrated how Semantic Search empowers LPs to surface cross-portfolio macro commentary trends, realization timelines, personnel changes, and other insights that combine information from both structured and unstructured data across multiple time periods and individual documents.
We are grateful to have brought our clients together to engage in thoughtful dialogue on how data and technology will continue to shape the way firms operate and appreciate the trust, partnership, and collaboration that made this year’s conference a success.
Chronograph events bring together our global community of LPs and GPs to discuss evolving market dynamics, explore how firms operationalize their data through technology, and connect with other private capital investors. Sign up for our newsletter to learn about upcoming gatherings near you.
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