Independent research lab.
Peer-reviewable output.

Skelf Research is an independent UK AI research lab with 18 public open-source products. Five research pillars. One methodology: every hypothesis is a runnable, testable, peer-reviewable repository. The most-replicable, hardest-to-fake moat in open-source AI research.

What makes Skelf different

01

Independent research lab

The current public output is peer-reviewable software rather than a hosted commercial service. Engagements are evaluated against the lab's published research areas.

02

18 open-source products

Every listed product links to public source and licence evidence. Maturity differs by project, and the portfolio is available for direct technical review.

03

Five research pillars

LLM Cognition & Prompt Theory, Safe & Verifiable Computing, Formal Optimisation & Decision Science, Edge Intelligence & On-Device AI, and Robotics & Autonomous Systems. Each pillar has multiple projects, an article series, and a community of contributors.

04

Methodology is the moat

Hypotheses as software. Every research question is encoded in a runnable, testable, falsifiable repository. This is the part that compounds — every year we have more artefacts that are public, peer-reviewable, and impossible to replicate without doing the work.

05

Geographic and assurance positioning

Skelf is a UK company. Several projects explore security, privacy, and auditability, but project features do not constitute organisational certification or regulatory compliance. Assurance is evaluated per engagement.

06

Multi-language stack

Rust, Go, Zig, Python, Dart, Lua, JavaScript, TypeScript. The thesis is language-agnostic — we choose the language for falsifiability, not fashion. The system is not a single point of failure.

Geographic focus

We target the markets where open-source AI infrastructure has the highest leverage: US, UK, EU, Canada, AUSNZ, Japan, China. Our 5,380 quarterly Google impressions (3 months) come predominantly from these regions; we convert almost none of them. That gap is the opportunity.

RegionQuarterly impressionsClicksTarget?Focus
US 3,256 0 Yes AI infrastructure, on-device, observability
UK 133 3 Yes EU AI Act, GDPR, fintech, sovereign AI
India 143 1 No (deprioritised; non-target region)
Canada 155 0 Yes Sovereign AI, MILA, Toronto Vector Institute
Germany 105 0 Yes EU AI Act, Max Planck, formal methods
France 81 0 Yes INRIA, formal methods, sovereign AI
Australia 59 0 Yes ANZ fintech, sigc quant trading
Japan 50 0 Yes Sakana, Preferred Networks, formal verification
Netherlands 48 0 Yes EU AI Act, A11Y, edge AI

The portfolio

18 public open-source products, organised by technical domain. Click through for source, licence, documentation, and scope.

LLM & Agents

promptel · blogus · mpl · route-switch · anouk · direktor

Search & Retrieval

embedcache · memista · polymathy · slorg

Systems & Runtime

zviz · numaperf · gpuemu

Optimisation & Decision

savanty · compere · waremax

Privacy & Trust

perishable · l0l1

Roadmap

  1. 2026 H1 18-product public portfolio, 5 research pillars, long-form research articles, and a technical glossary
  2. 2026 H2 3-5 new repositories, expanded article series on prompt theory and on-device AI, comparison articles for every project, /research taxonomy page
  3. 2027 H1 First external research collaborations; first papers co-authored with academic partners; expanded robotics pillar
  4. 2027 H2 Foundation / research-grant partnerships; second wave of projects in compliance + robotics

Team

Dipankar Sarkar

Researcher · Founder

Independent AI researcher. Designs and implements the projects. Writes the articles. Edits the YAMLs.

Contact

  • Research collaborations admin@skelfresearch.com
  • Partnerships and suppliers admin@skelfresearch.com
  • Press and media contact@skelfresearch.com
  • GitHub organisation github.com/Skelf-Research