IDRAAK AI LIMITED

Building AI systems that reason, remember, self-learn, and evolve

Cognitive infrastructure that grows with every interaction, not monolithic models that start from zero. Our patented systems combine neural memory, adaptive routing, and continuous self-learning to create AI that compounds intelligence over time.

1+3

Patent filed, 3 in submission

4

Active research projects

2026

Founded in London, UK

About

Cognition as infrastructure

IDRAAK AI was founded on a simple observation: current AI systems are stateless. Every conversation starts from zero. Every decision ignores history. Every context window eventually overflows.

We build cognitive architectures that give AI systems persistent memory, self-learning behaviour, and organic growth. Every decision is traceable, every reasoning chain has lineage, and the system evolves with use — not through retraining. Our architectures are designed for domains where getting it wrong has real consequences — healthcare, energy, financial services, regulatory compliance.

The name IDRAAK (إدراك) means perception and cognition in Arabic — the capacity to truly understand, not just process.

VERIFIABLE

Every AI output traces back to its source. Full chain-of-thought lineage, exact document references, zero hallucination tolerance in safety-critical domains.

ADAPTIVE

Systems that learn from their own operational history. Parametric routing that improves with use, not just static rules that decay with context.

PERSISTENT

Memory architectures that compound knowledge across sessions, projects, and years. Context that never overflows because it's structured, not stuffed.

LOCAL-FIRST

Sensitive data stays on-premise. Our systems run on local hardware, with no dependency on cloud APIs for core reasoning. Privacy by architecture, not by policy.

Research & Intellectual Property

Patented cognitive architectures

Our research programme spans neural memory systems, adaptive model routing, self-organising knowledge representations, and activation-based retrieval. Each project addresses a fundamental limitation of current AI systems.

GB2608413.7 — FILED APR 2026

Adaptive Cognitive Routing

A novel architecture for intelligent decision routing in AI systems, addressing fundamental limitations in how current systems maintain coherence across extended interactions.

ADAPTIVE SYSTEMS COGNITIVE ARCHITECTURE
IN SUBMISSION — 2026

Self-Organising Knowledge Representation

A biologically-inspired approach to knowledge organisation that enables emergent structure formation, drawing on principles from computational neuroscience and competitive learning.

KNOWLEDGE SYSTEMS BIO-INSPIRED
IN SUBMISSION — 2026

Adaptive Model Specialisation

Techniques for efficiently adapting general-purpose AI models to specialised domains without requiring full retraining, reducing both cost and deployment complexity.

MODEL ADAPTATION DOMAIN SPECIALISATION
IN DEVELOPMENT

Multi-Domain Reasoning Architecture

An approach to enabling controlled reasoning across isolated knowledge domains, allowing specialised systems to collaborate without compromising the integrity of individual domains.

MULTI-DOMAIN CONTROLLED REASONING
Products & Platforms

From research to production

Our technology powers real systems across AI governance, intelligent automation, and research — each built on the same cognitive infrastructure layer.

Sentinel
AI governance middleware with policy enforcement, compliance monitoring, and full audit trails. 1,000+ automated tests. Deployed and serving live environments. Live →
ACTIVE
Cognitive PA
Cognitive AI assistant with 8 integrated subsystems, 1,178 automated tests, persistent memory across 13,000+ interaction chunks, and autonomous task execution. Foundation for all IDRAAK patent work.
ACTIVE
FMAI
Multi-cloud AI lakehouse accelerator. Schema-driven pipelines, self-validating medallion architecture, agent gateway, and integrated governance. 8,900+ source files, AWS production-ready.
ACTIVE
AgentLifeSim
Affective computing research: believable emotional agents with personality models and longitudinal behavioural consistency. Peer-reviewed, published at ACII 2026. Details →
PUBLISHED — ACII 2026

Additional projects in stealth across energy, decarbonisation, and domain-specific AI.

Team

Built by researchers, for researchers

Dr Obaid Malik
Dr Obaid Malik
FOUNDER & CEO

AI architect with a decade of experience spanning machine learning, data engineering, and systems architecture. Research interests in cognitive AI systems, neural memory architectures, and the intersection of biological cognition with computational intelligence.

  • PhD Computer Science, MSc Artificial Intelligence, MSc Engineering Management
  • 15+ years experience in AI, data engineering, and systems architecture
  • 4 patent portfolios in cognitive AI architectures
  • Multiple peer-reviewed publications (Google Scholar)
  • Expertise: Python, distributed systems, LLM orchestration, knowledge graphs
Get in Touch

Let's build something intelligent

We're open to research collaborations, licensing discussions, and partnerships in safety-critical AI deployment.

obaid@idraakai.co.uk