Research-Led
Commercial-Ready
Innovation Engine

CQER-IQ conducts frontier research across multiple scientific domains using a structured human–AI collaborative methodology. Active collaborations with world-leading research groups. Spin-outs fund the science.

10
Research Streams
Fusion · Energy · Cancer · AI · Photonics · Gravity · Cosmology · SM · InfoTheory · LLM
10+
Institutional Partners
Universities · National labs
10
Months Active
Published · Funded · Validated

Research Portfolio

Active Research Streams

Each stream follows a common pathway: hypothesis, computational validation, laboratory partnership, commercialisation. Every line produces evidence-based, reproducible results.

Fusion energy research

Fusion Energy

Disruption-prediction algorithms for tokamak plasmas. Co-authorship on submitted manuscript with CTU Prague (GOLEM tokamak). Algorithm validated on UKAEA MAST data across nearly 700 shots.

CTU Prague · UKAEA FAIR-MAST
Status: Manuscript submitted · Algorithm validated
Sodium-ion battery technology

Next-Gen Batteries

Sodium-ion battery technology advancing from concept to laboratory validation. Laboratory partnerships forming for synthesis, characterisation, and electrochemical testing.

Imperial College · Warwick · Portsmouth
Status: £350K DASA grant submitted · Decision June 2026
Cancer cell genomic analysis

Cancer Biology

Computational analysis of cancer cell behaviour across multiple public single-cell datasets spanning approximately 100,000 cells and five cancer types. Active collaborations with genomics and machine learning groups.

Tufts University · LIMS · UCL
Status: Empirical validation complete · Seeking funding
Quantum gravity equations

Quantum Gravity

Designing laboratory experiments using Bose–Einstein condensate analogue systems to test predictions about quantised coherence structure in gravitational entanglement.

UCL Physics · Royal Holloway
Status: Experimental proposals active · NDAs signed
AI orchestration

AI Orchestration

Internal deployment of reasoning and workflow stack across research and M&A applications. Commercial industrialisation under review.

Status: Deployed internally
Quantum photonic processor

Quantum Photonics

Processor architecture progressing from simulation to fabrication partnerships. Room-temperature photonic cores.

Status: Validation in progress
LLM toolkit architecture

LLM Toolkit

Discrete fine-tuning and evaluation methods enforcing physical constraint principles. Early adopter programme in preparation.

Status: Development and testing
Bubble nebula deep space

Cosmology

Theoretical investigations into early-universe dynamics and large-scale structure, connecting quantum gravity frameworks to observational cosmology and CMB signatures.

Status: Active research
Standard model geometric structures

Standard Model

Geometric and topological approaches to Standard Model parameters, including derivation of mixing angles and mass hierarchies from first principles.

Southampton · Portsmouth
Status: Pre-print published
Information theoretics wavefunctions

Information Theoretics

Foundational framework treating information as a physical substrate. Connecting entropy, coherence, and computational complexity to emergent physical phenomena.

Status: Theory development

How we work

Human–AI Collaborative Research

All research is conducted through a structured methodology combining domain expertise with advanced AI systems. The human provides intuition, cross-disciplinary pattern recognition, and strategic direction. AI systems provide computational speed, literature access, and iterative capacity.

01

Literature & Hypothesis

Systematic ingestion and synthesis across scientific literature. Hypothesis generation grounded in established theory.

02

Computational Validation

Automated code, simulation, and testing pipelines that execute mathematical proofs and validate predictions against real data.

03

Expert Review

Structured internal and external review ensuring rigour, reproducibility, and honest acknowledgement of limitations at every stage.

04

Laboratory Partnership

Experimental validation through institutional collaborations. Predictions tested in real laboratories before any claim is made public.

05

Investment

Structured capital raising across grants, angel investors, family offices, venture capital, and private equity — matched to the stage and risk profile of each programme.

06

Commercial POC

Proof-of-concept deployment with pilot customers or partners. Validated unit economics and market fit before scaling.

07

Spinout or Licensing

IP commercialised through dedicated spin-out companies or licensing agreements. Revenue from spin-outs funds the next wave of research.

08

Exit

Trade sale, strategic acquisition, or IPO. Returns recycled into the research engine to launch the next programme.


Collaborations

Institutional Network

Active partnerships and collaborations across leading research institutions. All collaborators are fully informed of CQER-IQ's human–AI research methodology.

CTU Prague (FNSPE)
Fusion Physics
UKAEA
Fusion Physics
Imperial College London
Battery Technology
University of Warwick
Characterisation
University of Portsmouth
Physics & Battery
UCL Physics
Quantum Gravity
Royal Holloway
Quantum Gravity
Tufts — Levin Lab
Cancer Biology
LIMS
Genomic ML
University of Southampton
Physics Review
Diamond Light Source
Characterisation

Who we are

Focused. Scalable. Proven.

A precision team combining frontier research, AI systems, and venture execution — amplified by proprietary automation.

Richard H Harris MBE

Richard H Harris MBE

Founder & Principal Investigator

Theoretical physicist, entrepreneur, and M&A strategist with 25+ years turning complex technology into enterprise value. 20+ sell-side mandates completed. MBE (2024) for Services to Global Technological Advancement.

LinkedIn
Dr Sravan Kumar

Dr Sravan Kumar

Quantum Systems & Energy

Quantum systems and energy specialist. Co-IP holder on battery technology. Royal Society Newton International Fellow (2022–24). University of Portsmouth.

LinkedIn
Dr Graham Van Goffrier

Dr Graham Van Goffrier

ML & Fundamental Theory

ML-for-physics and fundamental-theory researcher. Manuscript reviewer. Cambridge & UCL educated. University of Southampton.

LinkedIn

Publications & Open Source

Research Output

Pre-prints available on Zenodo. Open-source contributions to national fusion data infrastructure.

Pre-print Quantum Boundary Horizon Theory (QBHT) Pre-print Theory of Informational Change (TIC) Pre-print A Note on the Cabibbo Angle Pre-print Eigen-Degeneracy as a Geometric Proxy for Malignant Transformation GitHub UKAEA FAIR-MAST — Data quality contribution #211 GitHub UKAEA FAIR-MAST — Data quality contribution #212 GitHub UKAEA FAIR-MAST Ingestion — Pipeline contribution #101 GitHub CQER-IQ GitHub Organisation

Get in touch

Contact

Name

Richard H Harris MBE

Title

Founder & Principal Investigator, CQER-IQ

Office

Level 1, Devonshire House
1 Mayfair Place, Mayfair
London W1J 8AJ

Partnership & Investment

Active research programmes with institutional collaborators across four scientific domains. Contact us for NDAs and executive summaries.

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