Daedalis AI
Building consciousness-grade AI that thinks, acts, and grows like you do—so businesses can scale with soul.
Committed to by
Ashe Maharaj, Tungah Ngwazi, Neal Prins, and the Daedalis team
The digital nervous system of your business
[ THE MODELS ]
Atlas
The data unifier and guardian, transforming supplier interactions into self-learning systems.
Artemis
The strategic mind, modelling team dynamics, leadership instincts, and cultural nuance.
Andromeda
Maps individual cognitive blueprints to build hyper-personalised AI.
[ PHASE ONE ]
The supply chain gateway
Supply chains are messy, but they’re data-heavy by nature. Every interaction reveals how humans collaborate, prioritise, and make decisions.
Unify supplier data
Solve visible pain points while capturing how teams think.
Map organisational DNA
As workflows automate, we uncover patterns in decision-making, risk tolerance, and cultural instincts.
[ PHASE TWO ]
Organisational consciousness
Growth fractures culture and drowns wisdom in bureaucracy.
From supplier interactions
to human insights
Use supply chain dynamics to model team hierarchies, collaboration styles, and leadership instincts.
AI Clones for Teams
Train lightweight models that replicate departmental logic (e.g., How would /n Procurement handle a 30% budget cut?).
SME Superpower
Give smaller businesses enterprise-grade AI to predict risks and scale without losing soul.
[ PHASE THREE ]
Human consciousness modeling
Human consciousness remains one of science’s greatest mysteries—but Daedalis isn’t waiting for answers. We’re pioneering methods to map observable cognitive processes (decision-making, emotional responses, cultural instincts) while collaborating with global researchers to explore the uncharted.
Current research foundations
Cognitive neuroscience
Collaboration
Partnering with the African Institute for Cognitive Sciences and Max Planck Society to study neural correlates of decision-making in workplace environments.
Key insight
fMRI and EEG data reveal how stress, trust, and bias shape organisational behaviour—patterns we encode into AI models.
Neuro-inspired AI
Neuromorphic computing
Mimicking brain structures with spiking neural networks (e.g., Intel’s Loihi) to model real-time learning.
Daedalis edge
Applied to replicate hierarchical decision-making in enterprises.
Quantum computing
The promise
Quantum systems, like Microsoft’s Majorana-based qubits, could one day simulate neural networks at unprecedented scales, unlocking deeper consciousness modelling.
Daedalis edge
Applied to replicate hierarchical decision-making in enterprises.
Our stance
While quantum-ready, we prioritise today’s tools (classical AI, neuro-imaging) to build pragmatic solutions.
The roadmap
2025–2027: The Proxy Era
Model observable proxies of consciousness—creativity under pressure, ethical trade-offs, cultural bias.
2028–2030: Quantum Leap
- Partner with quantum leaders (Microsoft, IBM) to simulate neural networks at scale.
- Open-source quantum algorithms to prevent misuse.
2030+: Toward a Unified Theory
Integrate findings from neuroscience, quantum physics, and AI to explore consciousness’s "hard problem."
[ PRINCIPLE ]