The 2026 LP Tech Summit Builds the LP Operating System

The 2026 LP Tech Summit will bring institutional allocators, operations leaders, technology executives, and private-market infrastructure builders to Toronto on October 6, 2026. The in-person event runs from 8:00 AM to 5:00 PM ET at TMX Market Centre, 120 Adelaide Street West, and centers on a blunt challenge: private assets need an operating system that can connect data, diligence, attribution, and total-portfolio oversight.

The Private Markets Forum, founded by Marc Andrew, is producing and hosting the summit. Its theme, "Building the LP Operating System," reflects a market moving beyond isolated software purchases toward a more integrated layer for private-market decision-making. The event matters because AI is accelerating, private assets occupy a larger share of institutional attention, and the underlying information still arrives in formats that make clean comparison and timely oversight difficult.

The currently announced speakers span institutional research, asset-owner data strategy, private-market analytics, enterprise technology, diligence infrastructure, and software companies. That mix gives the summit a chance to address the work beneath the slogans: how allocators structure information, decide which workflows should be automated, preserve governance, and view private assets as part of one portfolio rather than a collection of stubborn exceptions.

About the 2026 LP Tech Summit

The 2026 LP Tech Summit is a one-day, curated gathering for the people responsible for making private-market portfolios more observable and operable. The official audience includes institutional allocators; LP operations and technology executives such as COOs, CTOs, CDOs, and leaders in data, reporting, compliance, and systems architecture; and founders building portfolio analytics, document intelligence, performance attribution, and decision-support platforms.

That audience definition is more important than conference theater. Private-market systems do not improve because a vendor adds "AI" to a slide. They improve when investment teams, operations groups, risk owners, and technology builders agree on data structure, workflow responsibility, control points, and the level of evidence required before an output influences a portfolio decision.

The summit is designed around those operating questions. Its official description highlights structured data, GP performance attribution, real-time portfolio visibility, AI-driven workflows, and total-portfolio infrastructure. Registration is application-based, with tiered pricing and a special LP/GP rate listed on the official event page, which should be checked for the latest availability and pricing.

Why LP Infrastructure Matters Now

Public markets trained investors to expect common identifiers, frequent pricing, standardized feeds, and mature analytics. Private markets evolved under different conditions. Information is distributed across data rooms, manager reports, spreadsheets, PDFs, portals, and bespoke templates, making it harder to compare managers, trace exposure, attribute performance, or connect private holdings to total-portfolio risk.

The technology is improving, but the order of operations still matters. AI can help extract information, standardize documents, surface missing disclosures, and accelerate diligence. It cannot rescue an institution that has not decided which data is authoritative, who owns a workflow, how exceptions are governed, or where human judgment remains non-negotiable. Automation without architecture is simply confusion with a faster response time.

That is why the "LP operating system" framework is useful. It shifts the conversation away from individual features and toward the full institutional stack: data acquisition, taxonomy, diligence, attribution, reporting, portfolio construction, risk, and decision governance. The goal is not to make private markets imitate public markets. It is to give allocators enough structure and visibility to manage private assets with the same rigor as the rest of the portfolio.

The Operators and Builders in the Room

The announced lineup currently includes Ashby Monk, Executive & Research Director of the Stanford Research Initiative on Long-Term Investing, and Casey Rovinelli, Head of Data & AI Strategy at Mastercard Foundation Asset Management. Their perspectives connect the institutional investment research agenda with the practical work of designing data and AI strategy inside an asset-owner organization.

Griff Norville, Managing Director, Head of Technology Solutions, and Co-Head of Innovation at Hamilton Lane, brings experience across analytics, forecasting, diligence, and reporting. Karina Sidhu, CTO of Momentum Financial Services Group, represents the enterprise technology and risk side of the discussion. Together, those roles make clear that private-market technology is not an isolated investment-team concern. It is an operating model with consequences for controls, cybersecurity, reporting, and accountability.

Mason Lender, Head of Diligence Platform at MSCI, joins with a background in building AI-native private-market diligence infrastructure. Olivier Babin, CEO & Co-Founder of Tetrix, and Kyle Thorpe, listed by the organizer as CEO of Ascension, add builder perspectives. The official page currently presents all seven as speakers, although event lineups can change, and prospective attendees should check the official page for the latest updates.

What Attendees Can Take Back

For allocators and pension leaders, the summit offers an opportunity to compare how peers approach total-portfolio visibility, performance attribution, and the governance of AI-supported work. The useful outcome is not a shopping list. It is a clearer understanding of which operating capabilities must exist before new technology can create durable leverage.

For operations, data, and technology leaders, the questions become more concrete. Which information should be standardized at ingestion? Where should source documents remain visible? How should teams handle missing disclosures, inconsistent manager reporting, and model-generated outputs? What belongs in a shared data layer, and what must remain controlled by a specialist workflow? These are architecture questions, but they are also questions about institutional trust.

For founders, the room offers direct access to buyers who live with implementation long after the demo ends. That can reveal where a product removes friction, where it shifts work to another team, and where integration or governance costs erase the promised gain. A curated audience makes those conversations more valuable because they happen with the people who ultimately own the budget, the workflow, or the risk.

What the Summit Signals for Private Markets

The private-market technology cycle is entering a more demanding phase. Early digitization focused on replacing manual collection and basic reporting. The next phase is about connecting systems, applying structured data across workflows, and determining how AI can operate inside a governed investment process. That requires less excitement about isolated tools and more discipline around the infrastructure that allows those tools to work together.

The 2026 LP Tech Summit is timely because it brings asset owners, institutional researchers, enterprise operators, and builders together around the same operating challenge. If the conversation remains anchored in data quality, workflow ownership, attribution, and decision governance, it can move beyond trend watching and toward the architecture private markets actually need.

The summit takes place on October 6, 2026, from 8:00 AM to 5:00 PM ET at TMX Market Centre, 120 Adelaide Street West in Toronto. Attendance is application-based, and the organizer provides registration details through the official event page. The most useful outcome will not be measured by attendance alone but by whether the conversations help institutions build systems that can turn messy information into evidence, preserve accountability, and show how each private holding changes the portfolio around it.