Research with us

From theory and notebooks to deployment and publication.

We conduct complete, end-to-end research work — problem formulation through reproducible pipeline, deployed model, and published paper. PhD research, industry R&D, and institutional collaboration.

End-to-end means exactly that

Problem formulation

Research question, scope, dataset requirements, and baseline definition.

Data & experimentation

Dataset curation, annotation, model implementation, ablations, and evaluation.

Reproducible pipeline

Versioned code, documented dependencies, and a pipeline anyone can re-run.

Deployment & publication

Deployed model or API, preprint with DOI, and journal-ready manuscript.

Collaboration tracks

PhD Research Support

For doctoral researchers who need engineering depth.

Experimental design and baseline development
Dataset curation, annotation pipelines, and IAA analysis
Model implementation from theory to working code
Evaluation framework and statistical testing
Reproducible pipeline for submission and peer review
Preprint preparation and journal-ready formatting

Industry Research

For organisations running applied AI R&D.

Problem formulation — turning a business question into a research question
Literature survey and state-of-the-art benchmarking
Proof-of-concept through production prototype
Proprietary model training on internal data
Technical documentation and reproducibility package
Optional co-publication with proper attribution

Institutional Collaboration

For universities and research institutes.

Joint research project design
Shared dataset curation and annotation workflows
Cross-institutional evaluation and benchmarking
Co-authorship on published work
Student supervision and technical mentorship
Conference and workshop coordination

Typical deliverables

Exact deliverables depend on scope and agreed objectives — these are the most common outputs from a full collaboration.

Published preprint with permanent DOI
Journal-ready manuscript draft
Reproducible code + data pipeline
Trained model on HuggingFace
Technical report or white paper
Presented findings at agreed venue

How it starts

01
Initial inquiry
Send a brief description of your research problem and what kind of support you need.
02
Scoping call
We discuss the problem, timeline, data, and expected outputs in detail.
03
Proposal
We send a written scope: objectives, methodology, deliverables, timeline, and terms.
04
Execution
Regular check-ins, shared codebase, versioned experiments, and documented decisions throughout.
05
Delivery
Full reproducibility package — code, data cards, evaluation results, and any publication artefacts.

Start a conversation

Describe your research problem. We'll take it from there.

Send a brief description of your problem, what data you have, and what you need as output. We respond within a few days.