Company intelligence
Fencore
The buy-side data operating system — not another warehouse project.
About Fencore
Fencore builds the data operating system for investment management. Warehouses and lakehouses move and store data. They do not give buy-side teams the operating layer they run every day: multi-eye approvals, central alert triage, configuration promotion with rollback, mastering competing sources into golden records, governed pipeline design, lineage that follows values through transforms - and Cori, our in-product assistant, inside the same access model. That is what Fencore DataHub delivers on day one. It is a cloud-native, no-code platform for asset managers, asset owners, hedge funds, wealth managers, and fund administrators who need a governed view of market, reference, product, portfolio, and client data - without building an in-house data platform from scratch. Business users who understand the data can manage the data. Teams onboard sources, raise quality, match and merge competing feeds into golden records, reconcile breaks, and promote configuration safely - all in the same no-code environment. Cori assists inside the controls the firm already defined; it does not bypass them. Our suite includes DataHub, FenDQ for data quality, FenRecon for reconciliation, and FenWarehouse for analytics. Teams choose the products that match their scope and grow into the full operating system when they need it. Fencore is headquartered in Singapore and serves markets globally.
Verified activity
Signals from Fencore
3 published signals
Presence & Recognition
Fencore will be attending FinTech Connect 1-2/12/2026 to participate in a conversation on investment management innovation, current developments, and opportunities emerging across the sector.
Reported by Thomas Eikrem
Presence & Recognition
Fencore is returning to Oslo from 9 to 11 September 2026 for a roundtable event and pan-Nordic client signing.
Reported by Fencore
Presence & Recognition
Fencore is hosting a conference in Oslo from September 9 to 11, focusing on next-generation target operating models, data-centricity, and tech innovation.
Reported by Thomas Eikrem