Powered by UMNAI Hybrid Intelligence

Intelligence for high-impact business decisions.

Build, govern and operate neuro-symbolic AI for high-accountability automated decision systems.

Predict, reason, evidence and enforce policy with full human oversight and control. Automation that is understandable, reviewable and defensible.

Decision quality

Better judgement in complex, uncertain and constrained conditions.

Decision control

Automation governed by policy, intent and operating rules.

Decision evidence

A clear record of what was decided, why and on what basis.

Decision adaptability

Continuous improvement without losing governance or traceability.

Decision infrastructure

A reusable foundation for automating consequential decisions across the organisation.


The accountability gap

Foundation Models are not built for accountability

Foundation models and the agents that work on them are not built for high-impact decisions. They rely on indirect control, approximations of reasoning and pseudo auditability.

  • Black-box reasoning
  • Weak explainability
  • Limited indirect control
  • Indirect policy monitoring
  • Not directly auditable
  • Uncertain exception handling

First Principles

When what you're automating has material consequences, you must have direct and deterministic control. Without it you are forced to accept randomness and approximation that creates doubt and risk exposure.

95% of enterprise GenAI projects deliver no measurable P&L impact.
MIT Initiative on the Digital Economy, The GenAI Divide: State of AI in Business 2025
Solutions

Powerful outcomes across industries

Drive conversion, revenue and retention with Behavioural Dynamics and assure regulatory compliance and policy control with Policy Dynamics.

Better entity resolution and evidence confidence with Matching and faster more confident investigation with Risk Stratification and Case Triage.

Shorten delivery times for citizen facing services with Case Triage and identify vulnerability with Behavioural Dynamics and Risk Stratification.

Understand each individual customer in each moment with Behavioural Dynamics and make each action count with Recommendations.


Build Neuro-Symbolic AI

Build and Deploy AI confidently

A practical single platform for learning, reasoning, explaining and governing in high-consequence use cases.

The Practical Difference

Explainability, governance and evidence are built in

Powered by UMNAI's Hybrid Intelligence, a neuro-symbolic framework that combines learning, reasoning, causality, human knowledge and evidence.

The power of Neuro-Symbolic AI in your hands driving your business objectives under your control.

Technical Overview

Decisions explained from the model's own reasoning.

Policy and human knowledge integrated as part of the decision logic.

Evidence trails that support proof of compliance, review and audit.

Intelligent selective de-automation for human review of edge cases and exceptions.

Causal and counterfactual reasoning for deeper understanding and simulation.

Find your path

The right starting point for your team

Business & operations

Explore by use case

See how Decision Deck supports better operational decisions across your industry.

Explore Solutions
Risk & compliance

Evidence & governance

See how the platform supports explainability, evidence, policy control and oversight.

Evidence & Governance
Technical teams

Integrate & deploy

Learn how Decision Deck connects with APIs, workflows and enterprise systems.

Technical docs
Pricing & deployment

Scoped around your needs

Decision Deck is a comprehensive solution for high-impact intelligent decision automation. Talk to our specialists to explore pricing and deployment options.

Hybrid Intelligence

Powered by UMNAI

UMNAI develops the underlying Hybrid Intelligence architecture and API capabilities. Decision Deck makes those capabilities available through productised solutions, platform workflows and decision applications.

Ready when you are

Make high-impact decisions more explainable and governable

Decision Deck helps teams move from AI predictions to controlled, reviewable and operational decision systems.