Knowledge, learning, assessment, certification

Bespoke training and certification

The name bitknowledge reflects both the binary roots of modern computing and the expanding landscape of knowledge made possible through these systems.

bitknowledge helps subject matter experts turn hard-earned knowledge into personalised learning, AI-supported assessment, expert review, and durable certificates.

The knowledge comes from people. AI helps it travel further.

Human expertise Guided learning Durable records
What we offer

A platform for turning hard-earned knowledge into learning and certification

Many people spend years developing valuable knowledge through work, craft, study, service, teaching, making, caring, building, or solving difficult real-world problems.

The problem is that the delivery of this knowledge often does not scale. It may reach only the people who can speak directly to the expert, attend a small session, or find scattered material.

bitknowledge can help subject matter experts expand the reach of their knowledge, turning hard-earned expertise into learning pathways that others can use, practise with, be assessed against, and receive certification for.

What this means
  • bitknowledge is for useful human knowledge. The platform is designed to help knowledge travel from expert to learner.
  • Experts can come from many backgrounds. Formal qualifications matter, but they are not the only source of valuable knowledge. Deep study, practice, first hand experience, creative work, independent research, long observation, problem-solving, teaching, care, craft, service, and sustained personal commitment to a subject can all produce expertise worth passing on.
  • Knowledge can take many forms. It may be technical, practical, artistic, professional, cultural, scientific, ethical, operational, or historical.
  • The aim is real capability. Learners should understand more, do better, avoid mistakes, build skill, and make wiser decisions.
What the platform supports
  • Guided learning built from an expert's knowledge.
  • AI-supported assessment with human oversight.
  • Expert review where judgement and correction matter.
  • Certification and durable records tied to evidence of real capability.
What kind of knowledge belongs here?

Any hard-earned knowledge that another person could use

Any hard-earned knowledge that another person could use to understand more, do better, avoid mistakes, build skill, or make wiser decisions.

Knowledge area

Engineering and technical practice

Under development.

Knowledge area

Computing and digital systems

Under development.

Knowledge area

AI and automation

Under development.

Knowledge area

Craft, repair, and making

Under development.

Knowledge area

Business, operations, and management

Under development.

Knowledge area

Care, education, and human development

Under development.

Knowledge area

Art, design, music, and creative practice

Under development.

Knowledge area

Law, governance, and civic knowledge

Under development.

Knowledge area

Science, research, and critical thinking

Under development.

Knowledge area

Security, resilience, and preparedness

Under development.

Knowledge area

Philosophy, ethics, and judgement

Under development.

Knowledge area

Local, historical, and cultural knowledge

Under development.

Knowledge area

Specialist personal expertise

Under development.

How it works

From expert knowledge to learning, assessment, and durable records

01

Expert knowledge is captured

A person with real knowledge, skill, or experience works with bitknowledge to define what they know, what matters, what mistakes learners make, and what competent performance looks like.

02

A bitknowledge model is created

That knowledge is organised into a learning system. Depending on the case, this may use retrieval-augmented generation, fine-tuning, structured prompts, examples, documents, interviews, demonstrations, exercises, or assessment criteria.

03

Learners use the model

Learners ask questions, practise, receive feedback, test their understanding, and develop capability through guided interaction.

04

The expert adds judgement

The subject matter expert can review the learner's progress, add personal input, correct misunderstandings, and judge whether the learner has reached the required standard.

05

Assessment is performed

AI can support first-pass assessment, questioning, marking, and evidence gathering. Final authority remains with the expert or responsible organisation.

06

Certification is awarded

The certificate is awarded in the name of the expert, organisation, or bitknowledge pathway, depending on the arrangement.

07

The record is preserved

Certificates, learning evidence, and related records can be linked to bitknowledge's inscription and IPFS gateway infrastructure, supporting durable records of achievement.

For subject matter experts

Knowledge that should travel further

If you have spent years developing useful knowledge, bitknowledge can help you turn that knowledge into a learning and assessment pathway. You do not need to be a conventional academic expert. You may be a practitioner, craftsperson, engineer, artist, carer, teacher, operator, builder, organiser, researcher, local historian, founder, technician, or someone who has spent a long time solving a particular class of problem.

The question is simple: have you learned something that would help other people understand more, do better, avoid mistakes, build skill, or make wiser decisions?

If so, your knowledge may be a candidate for a bitknowledge pathway.

For learners

Interactive and demanding by design

Learners use a bitknowledge model to explore the expert's knowledge, ask questions, practise, test understanding, and build evidence of capability. The process is designed to be interactive and demanding. The aim is not passive content consumption, but real development of understanding.

Assessment and certification

AI supports the process. Human judgement sets the standard.

AI can help question, probe, mark, compare evidence against criteria, and identify gaps in understanding. But certification should not be treated as a purely automatic process.

The final standard is human-led. The subject matter expert, trainer, or responsible organisation decides what counts as sufficient evidence of capability.

Where appropriate, bitknowledge certificates and supporting records can be stored using IPFS, creating a more durable record of achievement.

Inscriptions and durable records

A separate area of archival and records work

Bitknowledge provides inscription panels supported by an IPFS gateway, creating a foundation for durable digital records.

This records layer can support certificates, project evidence, learning milestones, records of achievement, and other meaningful information. It complements the wider training mission, while also standing as a separate area of records management and archival development.

Why records matter

Durable records matter because learning achievements should be easier to verify, preserve, and revisit. A certificate is more valuable when it can be connected to clear evidence, a responsible issuer, and a resilient record.

For bitknowledge, records are not just an archive. They are part of the learning and certification pathway: preserving what was achieved, who recognised it, and how it can be verified.

About

Message from the founder

The name bitknowledge reflects both the binary roots of 20th century computing and the expanding landscape of knowledge made possible through these systems. As computing power and artificial intelligence continue to develop, humanity's ability to create, refine, share, and apply knowledge is accelerating rapidly. Bitknowledge exists to help people participate in that process through practical training, guided learning, and the development of real-world capability. My view is that AI is most powerful when combined with human expertise. The mission of bitknowledge is therefore to help individuals, teams, and organisations learn faster, build confidence, and develop useful skills through practical, expert-led training.

View IPFS copy of this message

Tom Jackson, 2026

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