About TalentOS
We built TalentOS so good work does not get missed.
James and Olivia came from different places, but they kept seeing the same thing. Smart people were being judged by the wrong signals: resumes, schools, job titles, certificates. TalentOS is our answer. Give people real AI work, grade what they make, and let the work speak.
Real missions
People learn by doing the kind of AI work their team actually needs.
Clear grading
Every submission shows how someone thinks, writes, builds, and uses AI.
Useful signals
Leaders see who is ready, who needs practice, and where to invest next.
Origin
The story starts in two places.
In Myanmar, James kept meeting builders who could learn fast, solve hard problems, and make things happen. But from far away, they looked invisible. Wrong passport. Wrong school. No famous company on the resume.
In Michigan, Olivia was working on a different version of the same problem. She cared about communities being left behind by new waves of technology, and she saw that tech education only matters when it feels close enough for ordinary people to use.
Different contexts. Same question. How do you give people a fair shot when the old signals do not tell the truth?
James
James saw talent the market could not see
Build Myanmar started as a way to give builders a place to gather, learn, and be taken seriously. It became media, spaces, programs, and a community for people who wanted a real path into the future economy.
450K+ followers, 60M+ views, 5,000 builders
Olivia
Olivia saw people being told tech was for someone else
Technique began with a simple idea: tech literacy should feel reachable. Olivia's work in economic development and education grew into a bigger question about AI: how do people build enough confidence and skill to use it at work?
From tech literacy to AI career readiness
AI made pretending easier. It also made proof easier.
A resume can say almost anything. A certificate can mean someone finished a course. But when someone uses AI to solve a messy problem, you see more. You see taste, judgment, patience, communication, and whether they can keep going when the instructions are not perfect.
What guides us
The idea is simple. Make the work visible.
Show the work
If someone can do the job, there should be a way to see it. Our missions turn skill into work you can inspect.
Teach through real tasks
People do not become AI-native by watching more videos. They get there by trying, failing, fixing, and shipping.
Let proof open doors
Good work should travel farther than a resume. That matters for teams, and it matters for people who are usually overlooked.
Founders
The company is personal for both of us.
James Win
Co-Founder & CEO
James thinks in systems: communities, media, spaces, software, and the institutions people need around them. Build Myanmar taught him that talent is not rare. Access is.
Olivia Habart
Co-Founder & CPO
Olivia thinks about learning as a bridge. Her work with Technique and economic development shaped her belief that people adopt technology when it feels useful, reachable, and connected to their lives.
What we are building
We are building the proof layer for teams learning AI.
Most companies already know AI matters. The harder question is quieter: who on the team can use it well when the task is messy?
A course library cannot answer that. A workshop cannot answer that. The answer shows up in the work. TalentOS gives teams missions, grades submissions, and turns those results into a map leaders can actually use.
For teams adopting AI
See the work. Then decide what to do next.
Give your team real missions, see how they handle them, and know where to invest next.
Book a demo