AI for financial analysis.

Automate financial analysis across documents, data, and systems while keeping every output traceable.

Early access opens before the Q4 2026 launch.

Supported by finance, AI, and startup institutions

Why DataNXT

Built for financial analysis
that needs evidence.

Automation, traceability, and human judgment in one controlled analysis layer.

01

Traceable outputs

Outputs connect back to documents, data, formulas, and workflow steps.

02

Human control

Analysts review, approve, and guide the workflow.

03

Connected context

Financial documents, market data, databases, and internal systems in one layer.

Workflows

For recurring finance workflows.

Practical starting points for banks, investors, risk teams, and finance departments.

Credit memo preparation Due diligence summaries Peer benchmarking Risk factor extraction KPI monitoring Annual report analysis

Credibility and connectivity

Research-backed.
Integration-ready.

Backed by research experience through Goethe University Frankfurt, IWH Halle, and the University of Groningen. Designed to connect documents, internal databases, market data providers, and proprietary systems.

Documents Internal databases Market data ERP systems LSEG / Reuters Capital IQ

Join the early access waitlist.

DataNXT is planned for Q4 2026. Join selected finance teams shaping early access.