Enterprise data automation for financial services, built over three decades.
Buy-side and investment management firms running large volumes of position, transaction, and reference data across multiple custodians and counterparties face a persistent problem: data arrives in different formats, at different frequencies, from hundreds of sources, and any break in that chain creates downstream risk. Gresham Technologies has spent three decades building infrastructure specifically for that problem, with a product suite now spanning enterprise data management, automated reconciliation, and regulatory reporting.
The offering most relevant to investment operations teams breaks down into four products:
Gresham also acquired S&P Global's Enterprise Data Management business, expanding its data coverage and client base considerably. The firm reports moving $20 trillion in mission-critical data daily and supporting over one billion financial instruments. Its machine learning engine targets a 97% average match rate on reconciliations. Client references include Commerzbank, Mizuho, and James Hambro, signalling relevance across both institutional and private wealth contexts. Pricing is not publicly disclosed, and the platform is clearly designed for organisations with significant operational scale rather than small or early-stage family offices. Teams evaluating this vendor should expect enterprise-level implementation complexity alongside enterprise-level data throughput.
We are now able to manage the exceptions rather than all the manual heavy lifting we were having to do before the switch.
On Gresham Technologies, from a family-office user
Built for Investment Teams, Finance / Accounting Teams, Fund Managers.
Live chat, consulting services, professional services, training services, and dedicated DevOps support mentioned