What you can do
Your competence, described precisely
A profile that records skills, tools, standards and disciplines — not a job title and a list of buzzwords.
The EveryEng Graph
The knowledge graph of engineering competence
A live model of what every engineer can do, what every engineering job requires, and what closes the gap between the two.
What is in the graph
Measured, not estimated
These numbers come straight from the graph and refresh daily.
199
Skills
Distinct engineering competencies
10
Job roles
Roles with defined skill requirements
1,818
Courses
Mapped to the skills they teach
61
Disciplines
From piping to power systems
5
Certifications
Tracked against member progress
64,231
Connections
Links between everything above
How it works
Three questions, one vocabulary
People, roles and content are all described with the same engineering vocabulary — disciplines, skills, software tools and standards. That shared language is what makes them comparable, and it is the whole idea behind the graph.
What the job needs
Roles, described in the same language
Jobs and certifications carry the same skill vocabulary as people, which is what makes the two comparable at all.
Jobs and internshipsEngineering roles with the disciplines and tools they actually require. Open Certification readinessSign-in requiredHow close you are to each certification, and what is still outstanding. Open Course catalogueEvery course tagged with the skills, tools and standards it teaches. Open
What closes the gap
The difference, and how to remove it
Because people, roles and courses share one vocabulary, the gap between where you are and where you want to be is a query — not a guess.
Skill gap analysisSign-in requiredCompare yourself against a target role and see exactly what is missing. Open Learning path builderSign-in requiredThe ordered set of skills to acquire, with the courses that teach each one. Open MentoringOne-to-one sessions with engineers who already work at that level. Open
A slice of the graph
Skills that travel together
Each circle is a skill, sized by how many engineers hold it. A line means the same people tend to hold both. Only skills held by enough engineers to stay anonymous are shown.
Where it comes from
Built from what already happens
Nobody fills in the graph by hand. It updates as members build profiles, creators publish, employers post roles and learners finish courses.
Signals in
- Profilesskills, tools, standards, disciplines
- CVsextracted and confirmed by the member
- Contentcourses, mentoring, seminars and their tags
- Rolesjobs, internships and their requirements
- Activityenrolments, completions, certifications
Answers out
- Skill gapsyou versus a target role
- Learning pathsthe ordered route to close them
- Recommendationscourses, mentors and people
- Readinesshow close you are to a certification
The platform
What the graph powers
CoursesTechnical courses taught by practising engineers, self-paced or live.MentoringOne-to-one and recorded mentoring, with session booking.SeminarsLive and recorded seminars run by organisers.Jobs and internshipsEngineering roles worldwide, with applications tracked end to end.CertificatesFinish a course and earn a certificate that anyone can verify from its own public page.Articles and communityLong-form engineering writing and discipline communities.Engineering toolsCalculators for pipe flow, heat load, beam deflection and more.Search across everythingOne search over courses, mentors, seminars, jobs and articles.
Being specific about AI
Where AI fits, and where it does not
The graph itself is not a language model — it is structured data about engineering. AI is used in specific, bounded places, and a person confirms the result wherever it touches someone's profile or a published course.
Search that understands meaning
Courses, jobs and profiles are embedded as vectors, so a search for “pipe stress” finds CAESAR II work even when the words differ.
CV reading
Paste a CV and a model extracts the skills and experience it evidences, which you confirm before anything is saved.
Authoring help for creators
Course authors get tag suggestions drawn from a fixed engineering vocabulary, plus written feedback on their draft copy. Every suggestion is accepted or dismissed by the author.
Cover artwork
Creators can generate a cover image for a course, mentoring offering or seminar from a text description.
An interface for other AI systems
Our course catalogue is published as MCP tools, so assistants like Claude and ChatGPT can query it directly rather than scraping it.
Engineering judgement stays with engineers. AI does not decide who is hired, does not grade assessments, and does not award certificates.
The network behind it
Who the graph is built from
26,673
Engineers
Members building a profile
1,765
Courses
Published and open for enrolment
178
Mentors
Practising engineers teaching
118
Countries
Where our members work
Find out where you stand
Build a profile, and the graph will tell you what you are close to — and what is missing.