Experiential learning is essential—yet hard to scale.

  • Hundreds of hours to organize

  • Hard to plan for program pathways

  • Hard to source projects

  • Requires expertise

  • Hard to track results

  • Hard to repeat

Easily provide real-life challenges to your students - adapt US NSF research challenges to your educational goals.
GenHax - Activate Learning with next-gen Co-creation.

AI experiential learning built for educators and their students.

A learning platform to connect dots: ideas, tools, experts, and networking.

Students

  • 5x to 10x faster learning through real-life co-creation

  • “Externships" & achievement portfolios that scale employability

  • 1000’s of recruiters linked to the platform

  • 93% of participants see skill improvement, 40% receive job interviews faster, 75% form new professional connections

No card required, no engagement.

Learn faster and better by doing.
Teamwork for real-life impact.

Educators

GenHax is a low-friction, repeatable, measurable pathway to activate learning through real-life challenges & activities.

A simple approach to teaching, idea generation, problem solving, and innovation.
  • Adapt research-grade challenges like the NSF Proto-OKN projects to your programs.

  • Engage students with 2 to 4 monthly engagements where they build something meaningful.

  • Autopilot experiential learning with challenge adaptation, co-creation mentoring, and reporting.

  • Track post-program trajectories with profile & recruiting updates.

Experiential learning made easy for professors, teachers, educators, program managers in the Academic world.

Unlock organization discounts > 10 Educators interested.

Proven with STEP cohorts and leading universities.

From Research to Students.

From Research to Students.

Homelessness AI Solution

Across New York City, first responders often have no real-time way to see which shelters have open beds, leaving people on the street simply because information is scattered across dozens of unconnected systems. The NSF’s DREAM KG project finally offers a solution by linking the city’s siloed homelessness data into one searchable, semantic network—making it possible to deliver accurate, up-to-date information at the moment a person needs help. This year, NY STEP students at Medgar Evers College and Bronx Community College created the first screens of an app that would put this power directly into the hands of first responders, allowing them to instantly find the nearest available bed for the person standing in front of them.

Now we need your cohort’s engagement to help finish building this tool—so our students can deliver a working prototype that could change lives across New York City.

Increase student engagement and performance.

Educator’s experience

  1. Create a challenge

  2. Mentor the teams

  3. Rate their achievements

  4. Present them at NSF

and train yourself to research-grade tech!


Student’s experience

  1. Onboard with an Educator

  2. Co-create as a team

  3. Fine-tune with a Mentor

  4. Pitch their achievements