Aureon
Reconcile messy financial data with 99% accuracy
What it does
Aureon is an AI-native settlement engine replacing brittle legacy parsers. We use a hybrid "Deterministic + Neural" architecture to reconcile messy, unstructured financial data (PDFs, CSVs) with 99% straight-through processing. Built for Custodians and AIFs, Aureon decouples operational costs from AUM growth, turning a 4-hour manual EOD process into a 4-minute review.
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FactIQ – a realtime econ+finance database for AI agentsJul 2026 · github.com · ▲7Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
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