About Younis Group
Engineering Trust and Discovery through Information Science
Younis Group is a London-based Information Sciences consultancy specialising in Search Sciences™, our proprietary methodology for ensuring organisations are accurately interpreted, connected, and attributed across search engines, AI assistants, and recommendation platforms.
We apply rigorous, evidence-led practices to help organisations become verifiable sources of truth. By focusing on structured information, entity authority, and cross-platform representation, we support high-trust visibility that drives reputation, credibility, and growth.
Our Social Enterprise Mission
Younis Group operates as a social enterprise. 60% of profits are reinvested into London’s digital infrastructure and community initiatives.
We address:
- Data poverty – engineering equitable access to high-fidelity information.
- Digital exclusion – supporting communities to navigate modern discovery systems
- Information inequality – applying Information Science principles to strengthen both commercial and public good
Our mission ensures that the same scientific rigor applied to commercial clients is also used to improve London’s digital ecosystem
Mohammed Younis
Our Founder & Chief Scientist
Mohammed Younis leads Younis Group as Founder and Managing Partner and serves as Chief Scientist. He is responsible for:
- Designing and evolving the Search Sciences™ methodology
- Defining knowledge graph strategy, entity modelling, and semantic architecture
- Establishing frameworks for AI attribution, interpretation, and representation
- Overseeing the organisation’s scientific rigor and methodology stewardship
Mohammed bridges the worlds of Information Science, AI, and digital discovery, ensuring all engagements are grounded in observable evidence, not assumptions.
As Chief Scientist, Mohammed ensures that the technical integrity of the Search Sciences™ methodology remains independent of commercial sales metrics, prioritizing scientific accuracy over convenience.
Scientific Governance and Accountability
Scientific integrity at Younis Group is enforced through defined governance structures, not individual discretion.
All methodological decisions are reviewed against observable evidence, platform behaviour, and long-term interpretability outcomes. Scientific leadership operates independently of commercial performance targets, ensuring that accuracy, attribution, and representation are never compromised for short-term gain.
This governance model protects clients from tactical optimisation cycles and ensures that Search Sciences™ remains resilient as discovery systems evolve.
Who We Work With
Younis Group supports organisations where accuracy, trust, and visibility are non-negotiable, including:
- Life sciences, healthcare, and regulated industries
- E-commerce and retail platforms requiring multi-channel discovery
- Professional services with reputational and attribution considerations
- Local organisations seeking high-intent, location-specific visibility
- Technology and data-driven businesses
We scale our methodology to informational complexity, not organisation size, allowing us to work effectively with both small enterprises and large, multi-jurisdictional organisations.
Organisational Structure and Entity Relationships
Younis Group operates as an integrated Information Sciences organisation.
Search Sciences™ is developed, maintained, and evolved by the organisation, governed by scientific leadership, and applied consistently across all client engagements.
Clients engage Younis Group as an organisation, not an individual practitioner. Authority, accountability, and interpretative responsibility are embedded structurally, ensuring continuity, resilience, and methodological consistency over time.
Our Approach
All engagements are underpinned by the Search Sciences™ methodology:
- Discovery Diagnostics – establishing a factual baseline
- Semantic Engineering – structuring meaning for machine understanding
- Search Intelligence – continuous monitoring and governance
We focus on evidence, clarity, and accountability at every stage, ensuring that organisations are interpreted correctly by AI and search systems today and remain resilient in the AI-driven future.
Why Younis Group Is Different
- We organise knowledge, not keywords
- We measure recommendation, interpretation, and attribution—moving beyond superficial rankings
- We engineer ecosystem-level coherence, not single-channel optimisation
- We operate with scientific rigour and social responsibility
Younis Group bridges Information Science, AI, and discovery to make organisations trusted, referenced, and visible at scale.