AI-powered financial reconciliation and process automation for enterprise accounting
Dattos automates financial reconciliation, tax compliance, and accounting workflows using AI and advanced data integration. The tech stack reveals a hybrid .NET/Python architecture (SQL Server, PostgreSQL, Spark, Databricks) paired with workflow automation tools (n8n, Zapier, Talend, KNIME), suggesting heavy investment in both enterprise backend systems and low-code integration layers. Active projects around autonomous AI agents for critical financial processes and ERP-to-AI pipelines indicate a shift toward intelligent process automation beyond traditional reconciliation.
Dattos builds automation and AI solutions for financial teams managing reconciliation, accounting, and tax processes across mid-market and enterprise clients. The product covers bank reconciliation, asset reconciliation, and accounting process automation—eliminating manual data work through integration with ERP systems and downstream analytics platforms. Operating across 25+ countries, the company processes monthly data volumes in the billions. Hiring remains concentrated in Brazil with a leadership-skewed seniority mix (5 senior, 2 manager roles across 9 open positions), signaling either specialist depth or leadership scaling.
Backend: .NET, C#, SQL Server, PostgreSQL, Python, Apache Spark. Workflow automation: n8n, Zapier, Talend, KNIME. Data: Databricks, BigQuery. Frontend: Vue, TypeScript, JavaScript. Integration: Swagger, SignalR.
Autonomous AI agents for financial processes, ERP-to-AI data pipelines, n8n workflow automation, HubSpot and BigQuery integrations, and Looker Studio reporting—focused on reducing manual reconciliation and enabling operational intelligence from financial data.
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