The AI Mastery Platform — for those who'll define the next era
For thousands of years, training was about learning to finish things. But finishing — implementation — is exactly what AI now does, and fast. Your value moves to how far you can amplify yourself through AI: real fluency with it, solving complex problems alongside it, and aiming it precisely at your own domain. And putting AI to work where it truly counts — manufacturing, medicine, agriculture, business, insurance, security — takes far more than ChatGPT or Claude Code. It takes mastery, and the platform to build it.
Why Parallight is different
Four shifts moved the ground under traditional training — and the four things we made in answer.
01 · Continuous, for life
As AI reshapes every industry, staying current is no longer something you finish in school or at onboarding. It's a lifelong requirement — the frontier moves every week.
→ Agentist. A continuous source of frontier information — the day's dispatches, papers and model releases, read so you never fall behind.
Read Agentist →02 · Learn by doing, for real
The value of the new intelligence lives at the application end. You don't learn it by taking in concepts — you learn it by building, running, and practising on real problems.
→ An online sandbox. A real runtime environment where every lesson is hands-on: a real terminal, a real agent, real output — nothing simulated.
Try the sandbox →03 · Personal, at any depth
Everyone's background and domain differ — and this technology's depth, breadth and iteration speed outpace any human-taught, one-size course. A private mentor for each person is the only thing that keeps up.
→ A Mentor Agent. Fully private and personalized, able to teach complex tasks: slides, interactive walk-throughs, code analysis, live code runs, and immediate feedback.
Meet the Mentor →04 · Find, don't just build
Code agents can now implement almost anything. So the human's job shifts: define the right evaluation metrics, let the AI search for solutions, and verify what comes back. Finding solutions and research are eclipsing hand-implementation.
→ A cloud IDE. Built for ultra-long-horizon tasks: intelligent long-running with dynamic CPU/GPU auto-management — your platform entry for solution-finding.
Open the IDE →How you engage
SELF-SERVE
Hands-on labs where you command an agent to build real things — research agents, harnesses, eval suites — and profile what it ships.
Enter the Lab →GUIDED
A live training program: structured, personalized, with real projects and feedback. For teams and individuals who want to go deep, fast.
See the cohort →CLOUD
A browser IDE with a real terminal, a real agent, and automatic CPU/GPU — nothing to install. Long-horizon runs that finish the job.
Open the IDE →Who's behind it
A research-and-engineering team from Silicon Valley, headquartered in San Mateo, California. Over 2,000 engineers have trained at Parallight and in the founder's earlier programs, all over the world.
The Founder
Marvin Gao
Founder & CEO · KeploreAI / Parallight
AI scientist turned serial founder. Built production AI at IBM, Ant Financial, and Alibaba, and previously founded an AI-education platform acquired by a unicorn. Now building Parallight for the Agent era.
Where we sit — and how far we reach
Parallight — parallel light. A small point in the Bay Area, where the world's frontier converges and goes back out to learners everywhere — ringed by the companies building AI.
Our publication
An Economist-style edition, written by our agents and edited by us: what an Agentist is, plus the day's dispatches, papers, model releases and editorials — every item runnable in a live sandbox.
Start in a live lab — a real terminal, a real agent, nothing to install.