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Start here
What do you need people to do?
Build skills
Recruit and support people through practical learning.
ExploreDrive product adoption
Help a defined audience apply your product to real work.
ExploreGrow an ecosystem across markets
Coordinate local partners, champions and recurring participation.
Explore
Also: Developer activation & adoption · AI data & research · Talent & workforce
- 1M+
- professionals in the ecosystem
- 400+
- specialised communities
- 30
- countries represented
- 300+
- companies served
The new bottleneck
Building got dramatically easier. Reaching people didn’t.
AI turned months of building into days. But every product, programme and model still needs people – to use it, test it, learn it and improve it. That part hasn’t sped up.
The distribution gap
Before AIToday
Building – code, content and models now ship in days, not months.
Reaching people – adoption, evaluation and participation still move at human speed, rebuilt programme by programme.
What we do
Engagement and activation, at scale.
We deploy ecosystem infrastructure to help companies achieve their product, people, growth and distribution goals.
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Who we're for
Built for the teams who own adoption.
Propel works with the teams responsible for getting people to learn, build with and keep using a technology.
Enterprise learning & enablement
Train and certify people on your technology, with practical work that shows they can apply it.
Product, growth & customer success
Get a defined audience using your product successfully, and learn where they struggle.
Platform & ecosystem partnerships
Build local partner and champion networks that grow participation across markets.
Developer relations & developer growth
Recruit relevant builders, support their first projects and keep them involved.
How it works
See how we deliver
How a programme runs.
We run a five-step design process.
Define the outcome
Agree the audience, the work and how success will be measured.
Recruit and qualify
Select participants against your brief through trusted communities.
Support participation
Run onboarding, learning, technical sessions and day-to-day coordination.
Review the work
Check submissions and outputs against the standard you set.
Continue and measure
Accepted outputs for research. Follow-up support and agreed usage tracking for everything else.
Case studies
See all case studiesLearning & workforce
A large-scale learning programme with structured tracks and direct pathways to work.
- professionals trained
- 90,000+
- matched to work opportunities
- 10,000+
Learning & certification
AI skills training delivered through community recruitment, supported cohorts and live facilitator-led workshops.
- delivery market
- Europe
- plus live workshops
- Cohorts
Developer activation & adoption
Developer recruitment, certification and project submissions across 20+ African cities.
- participants onboarded
- 45,000+
- project submissions
- 1,400+
AI data & research
Specialist data contribution from markets that traditional vendors could not reach.
- data sets delivered
- 100,000+
Why Propel
What a programme gets from Propel.
You usually know who you need. Getting to them is the slow part. Propel finds them through communities they already trust, and runs the work from there.
- Relevant accessAudiences that generic acquisition struggles to recruit.Mastercard Foundation: 114,000+ registrations across Nigeria and Kenya.
- Supported participationPeople keep progressing after the invitation.Mastercard Foundation: 37,000+ course completions.
- Local executionDelivery shaped around language, partners and place.Google AI Skills Training: community recruitment, cohorts and facilitator-led workshops in Portugal.
- Useful evidenceCompleted work and agreed outcomes, reported plainly.Hedera: 1,400+ project submissions.
Our ecosystem
Every community in the Propel ecosystem is pre-vetted and highly engaged. Every member undergoes skill verification and KYC assessment – so when you engage, you're working with professionals, not just profiles.
- KYC verifiedGovernment-ID checked
- Skill verifiedWork-sample assessed
- Globally structured30 countries, 6 regions
- Actively engagedWeekly programming
- Countries represented
- 30
- Women & non-binary members
- 38%
- Community archetypes
- 14
Top 5 skills in our ecosystem% of members
- Full-stack engineering28%
- Product design / UX19%
- Data & ML engineering16%
- DevOps & platform12%
- Product management9%
Seniority splitacross the ecosystem
- Junior 28%
- Mid-level 44%
- Senior 28%
Engagement options
Ways to work with us.
Most clients start with a pilot. We agree the scope and how we'll measure it before anything begins.
- Most common start
A focused project
A specific question, test cycle or pilot with a defined finish.
- Example
- A product test or a practitioner workflow pilot.
- You receive
- Recruited participants, completed tasks and a findings summary.
- Your team supplies
- Product access, the questions to answer and review criteria.
- Next phase
- Review the findings together and decide whether to extend.
A complete programme
A coordinated pathway with several stages.
- Example
- Supported AI learning for a defined audience and market.
- You receive
- A recruited, supported cohort, progress reporting and a final report.
- Your team supplies
- Curriculum or product content, access and review standards.
- Next phase
- Agreed at review: scale to new markets or move to ongoing support.
Continuing activation
A planned series of activities over time.
- Example
- Recurring clinics, champion support and participation reviews.
- You receive
- An activity calendar, participant coordination and a report each cycle.
- Your team supplies
- Priorities, expert time and a named lead.
- Next phase
- Reviewed each cycle, with scope adjusted by agreement.
