Building infrastructure for automated decisions with Nuvoq
By Dimitar Dimitrov · Founder & CEO · LinkedIn
Nuvoq builds the software infrastructure that lets organizations automate complex financial and operational decisions while keeping every outcome explainable, auditable, and under human control.
From raw data to controlled, auditable decisions.
Automated decision-making should not begin as a black box. Nuvoq treats automation as an infrastructure problem: how to structure inputs, encode constraints, test scenarios, and make every automated decision explainable before it takes effect.
Structure financial and operational data into decision-ready inputs.
Evaluate decision logic through controlled scenarios and human review loops.
Preserve the sources, constraints, rationale, and approvals behind every automated decision.
The goal is to build the control plane around decision automation: what the system knows, which assumptions it used, which risks it surfaced, and where humans must approve, override, or reject an automated outcome.
Built around structured data, scenarios, and accountable decisions.
Data layer
Company data, documents, operational context, and policy constraints organized into reusable, versioned decision inputs.
Decision workflow
Rule and model evaluation, scenario testing, exception handling, review checkpoints, and operator approvals before any action.
Decision interface
AI systems that help reason over options, trade-offs, and constraints while keeping every recommendation inspectable.
Nuvoq represents the decision infrastructure vision for Anmel: software that turns structured data, decision provenance, and domain workflows into reliable, auditable automated decisions.
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