We started union-node because the gap between raw data and actionable insight was costing businesses real money. Most companies had numbers—lots of them—but very few had answers.
A finance team at a mid-sized trading firm spent three weeks building a quarterly report. By the time it landed on the CFO's desk, two key suppliers had already shifted terms and market conditions had changed. The report was accurate but useless.
We built a system that pulled transaction logs, matched patterns against historical behavior, and generated variance reports in under four hours. The first client cut their monthly close time from nine days to two.
Clients weren't asking for faster reports—they wanted reports that answered specific questions without requiring three follow-up meetings. We rebuilt the logic engine to prioritize decision-relevant output over comprehensive data dumps.
Processing volumes increased 400% while client reporting needs became more specialized. We redesigned the platform architecture to handle custom reporting templates without manual configuration for each account.
We process financial data for companies managing everything from supply chain payments to investment portfolio tracking. The system adapts to different accounting standards, regulatory requirements, and reporting cadences without requiring clients to change how they work.
Real people with financial systems experience and technical depth. No generic bios—just context for why they're here.
Spent six years building reconciliation systems for cross-border payment processors before joining union-node. Knows exactly where data goes wrong between extraction and delivery—and how to catch it before anyone notices.
Former audit systems analyst who saw too many reports fail because they didn't match how finance teams actually made decisions. Designs workflows that fit real approval chains and escalation patterns instead of theoretical org charts.
Every output includes traceable lineage back to source transactions. If a number looks wrong, you can see exactly where it came from and what calculations touched it along the way.
Reports adapt to your approval workflows, compliance requirements, and internal deadlines. The system learns which variations matter to different stakeholders instead of generating identical outputs for everyone.
Variance tracking shows exactly which line items shifted between periods and why. Context that used to require digging through email threads now appears automatically alongside the relevant figures.
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