UMNAI
Our mission

Deliver safe AI to automate consequential decisions.

Despite all the enthusiasm for and investment in AI, the current state of the art is simply not fit for purpose in high-consequence environments. We want the world to have the tools to deploy advanced intelligence safely, responsibly and with full control.

At a glance

A deep-tech company building the architecture, runtime and governance for explainable decision systems.

Founded
2019
Discipline
Neuro-symbolic AI
Inventions
20+
Platform
End-to-end
Our story

A foundational rethink of how AI should reason.

  1. Foundational research

    A new theoretical framework.

    After years of deliberate contrarian thinking, Dr Angelo Dalli completes the foundational framework for scalable neuro-symbolic AI, the architecture that would later underpin Hybrid Intelligence.

  2. Company founded

    From paper to paradigm.

    Dr Angelo Dalli founds UMNAI to turn the architecture into a new AI paradigm. Ken Cassar joins as co-founder to lead commercial strategy, backed by visionary early investors and a focused, high-calibre team.

  3. End-to-end platform

    Hybrid Intelligence in production.

    UMNAI has built the world's first end-to-end neuro-symbolic AI platform, redefining how AI is conceived, designed, built and governed across financial services, healthcare, justice, education and beyond.

Founders

The team behind Hybrid Intelligence.

Dr Angelo Dalli

Founder & CEO

Angelo authored the foundational theoretical framework for scalable neuro-symbolic AI in 2018 and is the inventor behind UMNAI's Hybrid Intelligence architecture, with more than 20 published novel inventions. He leads the company's vision, research direction and product strategy.

Ken Cassar

Co-founder & CCO

Ken leads UMNAI's commercial organisation, shaping how Hybrid Intelligence reaches financial services, healthcare and the public sector through partnerships, customer programmes and go-to-market.

Our vision

Raise the world's expectations of intelligence.

Causal, not just correlated

Intelligence that understands why outcomes happen, not just which signals appear together.

Grounded knowledge

Explicit world models and hypergraph-based structures replace opaque scale and brittle prompts.

Accountable by design

Reasoning quality, plausibility and coherence are encoded so they can be reviewed and governed.

Amplifies human judgement

Augments the experts accountable for a decision instead of removing them from the loop.

Why we build

The goal is not to replace human intelligence, but to learn from it and amplify it.

Go deeper

See Hybrid Intelligence in motion.

Explore the platform that turns this thinking into deployable decision systems, or talk to the team building it.