A creator marketplace for
technical providers.
Engineers and skilled trade professionals should get paid for the experience and knowledge they contribute to the world. EngTree is how.
Engineering knowledge, shared and verified.
The knowledge that's walking
out the door — for good.
Engineering and skilled trades face a silent, structural crisis. The tacit wisdom of 250,000 UK chartered engineers — much of which was never written down — is retiring with them. YouTube isn't credentialed. Coursera isn't practitioner-led. LinkedIn Learning isn't jurisdiction-aware. The market for verified expertise has no platform. Yet.
“Around 50% to 70% of construction students currently fail to transition into industry careers due to a disconnect between training and employer needs.”
Three companies.
One trajectory.
EngTree isn't one company — it's three in sequence. Each stage compounds on the last. The data layer we build today powers the platform of tomorrow.
Verified Knowledge Marketplace
Contributors share expertise. Validators verify accuracy. Learners subscribe.
Revenue model
Subscription + creator rev-share
Unlocks next stage
Mass on-boarding of chartered contributors triggers Stage 2.
Global Engineering Platform
Institutions licence the platform. Universities embed it in curricula. Employers onboard graduates. Multi-jurisdiction support — US, AU, EU — goes live.
Revenue model
Per-seat institutional licences · enterprise contracts
Unlocks next stage
Curriculum-aligned content stack becomes the bridge to Stage 3.
Knowledge Infrastructure
A category-defining data asset. The signed, auditable record of who knows what — across every engineering jurisdiction.
Revenue model
Data infrastructure · industry intelligence · standards
Unlocks next stage
A moat unbuildable by anyone who didn't start logging on day one.
Four audiences.
Compounding network effects.
Each audience strengthens the others. More contributors attract more learners. More learners justify more institutional licences. Institutional licences fund the validation economy. The flywheel spins on its own once the first turn is paid for.
Engineers
250,000 UK chartered + ~1M engineers globally addressable
Earn from decades of practice. Or close the gap to chartership in months, not years.
Unit economics
Free baseline · Pro £18 / mo · contributors earn rev-share per read
Trade Professionals
2.4M UK skilled trades · Gas Safe, JIB Gold, NVQ L5+
The Master Tradesperson's pension plan: their expertise, finally productised.
Unit economics
Pro £18 / mo · same creator rev-share economics
Universities
~170 UK universities · ~700k engineering students enrolled
Embed industry-verified knowledge alongside your curriculum. Graduate-employment outcomes you can point at.
Unit economics
£8 / seat / month · minimum 25 seats · volume break at 250+
Employers
UK engineering & construction · Tier-1 to SMEs
From zero to three years' competence in under six months. Stop paying for on-the-job learning curves.
Unit economics
£8 / seat / month · onboarding packages · enterprise discounts
What a contributor actually earns.
The maths is transparent and live. Drag the sliders during the screen-share. This is what investors should see other platforms never quite explain.
Calculate
what your expertise
earns
I publish 5 entries a month
Most active contributors publish 3—8 high-quality entries a month alongside a day job.
Each entry gets ~ 1,200 monthly reads
Top-rated entries in popular topics regularly clear 2,000 monthly reads within six months.
Monthly, you'll earn
£300/mo
Illustrative figures based on early platform economics. Real rates set at production launch and rebalanced quarterly. Top contributors earn at consultant day-rates without consulting hours — your experience compounds while you sleep.
Validation is the bottleneck.
AI doesn't replace experts — it scales them.
Every platform that's tried to credential expert content has crashed against the same wall: chartered validators are rare, expensive, and slow. EngTree solves the constraint with a Claude-powered AI Pre-Check that does structured first-pass review so human validators only focus on the flags that matter.
Before AI Pre-Check
30–45 min
Per entry, unaided. Validators burn out fast at scale.
With AI Pre-Check
8–25 min
Claude pre-flags inconsistencies, missing standards, and weak claims. Validator confirms or overrides.
Throughput uplift
3–5×
The same chartered validator pool processes 3–5× more entries — without lowering the bar.
~£30
per validation
General best practice
Career advice, soft skills, methodology.
~£75
per validation
Technical guidance
Design approaches, calculation methods, multi-validator review.
~£150
per validation
Safety-critical
Gas, electrical, structural. Chartership-required. Liability framework binds.
Nobody's combined
these two things.
Verification AND a creator economy. Existing platforms pick one, sometimes neither. EngTree is the only quadrant where chartered verification meets practitioner ownership.
↑ Pays experts directly
← Doesn't pay experts directly
Generic content ← → Practitioner-credentialed
| Platform | Strength | Why it fails for engineering |
|---|---|---|
| YouTube | Free video at scale | No verification, no credentialing, no payment for technical accuracy. |
| LinkedIn Learning | Structured courses | Generic content. Not jurisdiction-aware. Instructors not necessarily practising. |
| Coursera | Academic courses | Designed for curricula, not for the Monday-morning engineering problem. |
| Stack Overflow | Q&A community | Developer-focused. No engineering equivalent. No credentialing. |
| Wikipedia | Reference | Open editing, no accountability, no reward for contributors. |
| EngTree | Verified + credentialed + creator-economy + jurisdictional | The gap nobody else has filled. |
How the marketplace
becomes infrastructure.
We mine published engineering curricula from Cambridge, Imperial, Warwick, UCL — align them to the three-stack disciplines on EngTree — then source chartered practitioners to fill the gaps. Universities see their own curriculum reflected back, with industry-validated practitioner content attached. That's how we turn pilot conversations into multi-year institutional contracts.
Scrape & align
Engineering curricula scraped from public university course catalogues, mapped to the three-stack discipline taxonomy.
Gap-source
Chartered practitioners commissioned to author content that fills the curriculum gaps — paid up-front, rev-share on the back.
Licence back
Universities licence the curriculum-aligned stack at £8/seat. Their graduates leave with industry-credentialed evidence on their CVs.
Not in Phase 1. Locked as the post-Pre-Seed strategic bridge — and the single feature most likely to convert a university pilot into a 7-figure ARR contract.
Architecture today.
Optionality tomorrow.
Every contribution, validation, and learner engagement is logged as a discrete, attributable, cryptographically-signed event from day one. That data layer is invisible to today's users — and it's the moat that makes Stage 3 possible.
Discrete attribution events
Every event — entry published, validation given, content viewed, content rated — recorded with full attribution metadata. The granularity to answer 'who contributed value, when, and how much.'
Cryptographically-signed reputation
Reputation scores signed with Ed25519 and exportable. Practitioners can prove their EngTree credentialing independently of the platform — portable, auditable, infrastructure-ready.
An unbuildable late-entrant moat
A competitor entering in 2030 cannot retroactively log five years of attribution events. The platform that captures the verified knowledge layer first owns the standard.
Disciplined ask: we are not asking you to fund the Stage 3 monetisation today. We are asking you to fund the marketplace — and noting that the architecture is already built to support whatever the data business becomes. Pre-Seed money builds the flywheel; the data layer is a free byproduct.
Early signals.
What we're tracking.
Pre-Seed traction lives in proof-points, not revenue. Here's what we're measuring as the product lands in front of investors and validators.
Waitlist sign-ups
From homepage join form. Tracks demand-side intent across all four audiences.
Latest
awaiting first measurement
Validator commitments
Chartered engineers who've agreed to validate at launch. The supply-side anchor.
Latest
awaiting first measurement
Contributor pre-pledges
Practitioners who've committed to author entries in the first 90 days.
Latest
awaiting first measurement
University pilot conversations
Russell Group and post-92 institutions in active scoping discussions.
Latest
awaiting first measurement
Employer LOIs
Engineering firms expressing intent to onboard graduates via EngTree.
Latest
awaiting first measurement
Brand validation responses
Outreach to chartered network. Qualitative feedback on positioning, naming, and category.
Latest
In flight — qualitative responses inbound
Placeholder cells fill as the product lands. Live numbers available on request once thresholds are crossed — typically when sample sizes pass statistical credibility.
One product.
Three campaigns. Eight revenue streams.
EngTree is structurally defensible because the same product surfaces speak to three different audiences with three different hooks — and monetise through eight distinct revenue streams without any one audience subsidising another.
The operational primitive
Strands — typed connections, not LinkedIn mush.
Every member is credential-anchored (CEng, FICE, FREng, COREN, Knowledge Index score, validated entries on the registry). A Strand is a typed bi-directional relationship between two credentialed members: Mentor, Peer, Research, or Hire. Every Strand produces an outcome — a CPD-grade audit log, a co-authored entry, a placement, a paper. LinkedIn connections are dead weight. Strands compound credentials.
Live now as a UX layer with mock backend → production backend at Stage 1.5 → CPD export pipeline + matching algorithm at Stage 2 → global trust-graph visualisation at Stage 3.
Four strand types
Scoped, quota-capped, fee-optional. ICE Rule 4 fulfilled.
Chartered ↔ chartered. DM unlock + joint validation.
Co-authored output. PhD-to-practice translation.
Recruitment with attribution chain. Diaspora corridor.
Three parallel marketing campaigns
Same product. Three different doors in.
Campaign A
Rule 4 / Code of Conduct
Senior chartered + Fellows
“Are you actually meeting your Rule 4 obligation to develop the next generation?”
ICE Rule 4 + IET §3.1 + IStructE §5 + COREN + NSPE Canon I — every chartered engineer's already-signed obligation, finally with a 21st-century delivery mechanism.
Campaign B
CPD-as-Product
30k+ UK mid-career CEngs · 300k globally
“Your CPD audit just happens.”
Pro Tier (£15-25/mo) auto-exports your strand activity, validations, and channel work to ICE / IET / IMechE / IStructE / CIBSE portals. Saves 4-8 hours/yr; institutional-grade evidence.
Campaign C
Diversity & Access
DEI leads · diversity bodies · diaspora communities
“The barrier has never been talent — it's been who you knew.”
Credential-anchored matching, geographic equality of access, algorithmic discovery, PPP-adjusted economics, diaspora bridge structurally encouraged. No 'Premium = visibility boost' — Pro Tier is utility, never ranking. Equity locked.
Revenue diversification
8
revenue streams active by Y5
No single stream >40% of revenue at maturity — durable.
- 1Subscription revenueStage 1
65-70% rev-share to creator pool, allocated by KI × engagement minutes
- 2Validator feesStage 1
Tier 1/2/3 fees £50/£150/£400 + quarterly retainers
- 3Institutional licensingStage 1
Bulk seats for universities + employers; £8/seat PPP-adjusted
- 4Template & resource downloadsStage 1.5
80% creator / 20% platform · pulled to Stage 1.5
- 5Sponsored channelsStage 2
85% creator / 15% brokerage
- 6Corporate CSR sponsorshipStage 1.5+
Firms sponsor CEng employee channels as measurable CSR — 7th stream
- 7Recruitment placement attributionStage 2
8-12% first-yr comp · Africa diaspora corridor dominant
- 8Editorial Curator + Knowledge Award + EventsStage 2
Curator fees + award sponsorship + global event programme — 8th stream
Modelled.
On request.
A full seven-year financial model has been built and stress-tested against three growth scenarios. Headline figures sit with the founder for review and are released directly to qualified investors under NDA.
| Horizon | Stage | Revenue model | Revenue (modelled) |
|---|---|---|---|
| Year 1 | Marketplace launch (UK pilot) | Individual subs · contributor rev-share · early validator fees | £106k |
| Year 3 | Institutional + diaspora corridor live | University pilots · employer LOIs · Pro Tier launches · Africa corridor opens | $13.9M |
| Year 5 | Eight revenue streams active globally | Subs + institutional + sponsor + recruitment + CSR + curator + award + events + Pro Tier CPD pipeline | $221M |
| Year 7 | Mature global engineering trust infrastructure | Pluralsight scale ($3.5B exit comp) · LinkedIn-Learning-adjacent ($15B Microsoft comp) | $466M |
Realistic staged scenario from the financial model. Total revenue across eight streams: subscription, validator fees, institutional licensing, recruitment placement attribution, sponsored channels, corporate CSR sponsorship, editorial curator fees, knowledge award sponsorship — plus optional Pro Tier subscriptions (CPD automation, the killer feature for chartered engineers). Y1–2 in £ (UK-first); Y3 onward in $ as international rollout begins. Y7 at 7× revenue multiple = ~$3.3B exit valuation (Pluralsight comparable).
Full model
Seven-year financial trajectory · three scenarios
Released under NDA to qualified investors.
“Rewarding shared expertise to drive innovation and growth.”
EngTree mission
Unlocking innovation and discourse
in the technical space.
The bigger ambition
The ask
We're raising Pre-Seed.
Talk to us.
30 minutes, founder-led. We'll walk you through the live product — the knowledge tree, the validator economy, the AI Pre-Check. Bring your sharpest questions.
Franklynfrantos@engtree.orgEngTree · Engineering knowledge, shared and verified.