Insight

SuperReturn 2026: Next-gen GP solutions: setting new standards and designing the operating system of the modern GP

Published on 
June 23, 2026
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At the Motive Partners and S&P GlobalSuperReturn invitational in Berlin, moderator Jannine Ravens was joined by Joan Kehoe of Alchelyst, Enrico Ohnemüller of Bunch, Arik Oslerne of Steward, andKyle Roemer of Accordion, operators and founders from across the Motive ecosystem and its partners.

The traditional GP tech stack was built function by function, and it is breaking under scale. As capital broadens from institutions toward anyone who wants access to private markets, the panel argued that the modern GP has to become a platform, with data as its control layer rather than a workflow byproduct.

The constraint shows up first at the edges. Below the very largest managers, the middle market still runs on manual process and gut feel, and the LP experience that opens every relationship too often begins with a compliance checklist that takes months to clear. The deeper problem is standardization, which no single player can fix alone, and which the industry has long resisted, just as it once resisted more frequent reporting.

"People said hedge funds would never report monthly, then weekly, then daily,"Kehoe noted. "You know what? They now do, and the sky hasn't fallen in."

Joan Kehoe, CEO, Alchelyst

The work underway points toward a different model. The most sophisticated GPs have spent years automating data from their portfolios, but the real edge now is codifying judgment, turning how a deal team actually evaluates an asset into data that powers the next decision. Rather than replicating work already done by service providers, the opportunity is to let systems talk to one another directly, and to own that data as the true intellectual property.

Speed is what forces the issue. Migrating years of history onto a new system can now happen in weeks rather than quarters, complex onboarding that took months is increasingly same-day, and firms that wait to start building risk being overtaken. AI carries the load, but judgment stays human, and the winners will be the GPs that keep deciding at the speed the moment demands rather than getting stuck.

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