Sarvesh Bhardwaj didn’t got down to disrupt American training. At first, he was only a mum or dad watching his son wrestle.
Even in a well-resourced faculty district, one thing felt off. His older youngster — a shiny, motivated, college-bound center schooler — was ready weeks for suggestions on assignments. Teachers had been stretched skinny. Essays piled up. Learning stalled within the delays between instruction and response.
“I started to see that there is a gap in terms of how much time it takes for teachers to be able to give feedback to students,” Bhardwaj says. “And I thought, if we could use artificial intelligence, we could make an impact.”
More than a involved mum or dad, Bhardwaj is a pc scientist educated to see patterns in advanced programs and repair them. He earned his doctoral diploma in electrical engineering from the Ira A. Fulton Schools of Engineering at Arizona State University in 2006, conducting analysis by means of the Center for Intelligent, Distributed, Embedded Applications and Systems, or IDEAS, Center. There, he labored on the early edges of synthetic intelligence and machine studying.
When Bhardwaj acknowledged the widening hole between scholar effort and significant suggestions, he didn’t simply see an issue. He noticed a system ripe for redesign. That realization grew to become the seed for Magna Education, Bhardwaj’s fast-growing training expertise startup that, in just some years, has garnered nationwide and worldwide recognition, together with being named considered one of District Administration’s Top EdTech Products in each 2025 and 2026 and incomes Corporate LiveWire’s EdTech Platform of the Year, together with an invite to the White House’s 2025 AI Education Task Force assembly.
The firm’s rise displays a broader shift in how AI is transferring out of labs and into lecture rooms. But Magna’s strategy is distinct. It doesn’t intention to interchange teachers. It goals to offer them time back.
Closing the suggestions hole
Magna Education, which operates underneath the mum or dad firm Studygenie, focuses on some of the cussed issues in training: significant, well timed suggestions.
Traditional digital platforms lean closely on multiple-choice questions as a result of grading free-response work at scale is tough. But actual studying, particularly in Advanced Placement programs, occurs in essays, knowledge evaluation, math derivations and explanations.
“What we focus on is making sure that we create rubric-aligned assessments,” Bhardwaj says. “Then we grade it and give feedback to the student. ‘This is where you went wrong and this is how the College Board actually expects you to write it.’”
The system doesn’t cease with the scholar. Magna aggregates responses throughout a complete class, surfacing patterns teachers would usually want weeks to uncover.
“Something that would have taken two to three weeks, with feedback arriving a month later, can now happen in minutes,” Bhardwaj says. “That tight loop makes a difference.”
The outcomes are putting. In one Louisiana faculty utilizing Magna for AP programs, the share of scholars incomes the best potential rating of 5 tripled — from 12% to 35% — in a single semester. A regression evaluation evaluating prior semesters confirmed the features had been statistically vital, growing the percentages of a high rating by greater than thrice.
And the development wasn’t restricted to high performers. Score distributions shifted throughout the board, lifting college students at each stage.
Before AI was a buzzword
Long earlier than Magna, Bhardwaj was engaged on issues that now really feel prescient. In the Fulton Schools, he carried out analysis underneath the supervision of Sarma Vrudhula, a professor of pc science and engineering within the School of Computing and Augmented Intelligence, in areas that bridged machine studying, chance and real-world programs.
“We were working on machine learning and AI at a time when those terms weren’t everywhere yet,” Bhardwaj says. “We focused on Bayesian networks, graph networks and using probability theory to predict properties of complex systems.”
That basis formed how he thinks and the way Magna operates.
“I feel like having that background in research prevents you from throwing stuff out there without making sure it’s grounded in core principles,” he says. “We use a lot of data. That’s because I was trained at ASU to use data to inform decisions and then build something that is actually of value.”
That rigor additionally reveals up in Magna’s emphasis on accountable AI. Rather than deploying generic fashions, the corporate works intently with subject material specialists and teachers to make sure grading aligns with established requirements.
Lessons that final
Bhardwaj credit a lot of that mindset to his doctoral advisor. Vrudhula sees a direct throughline from Bhardwaj’s early work as a graduate scholar to the influence he’s making at this time.
“Sarvesh always combined deep mathematical thinking with a strong sense of purpose,” Vrudhula says. “In taking rigorous research and using it to solve meaningful problems at scale; what he’s doing now is exactly what we hope doctoral training enables.”
For Bhardwaj, the mentorship went past technical expertise.
“I think the most important thing I learned from Sarma was the love for math and making sure whatever you’re producing is really high quality,” he says. “Having worked with him helped me become the researcher and the individual who I am today.”
Building towards an even bigger future
Magna is at the moment utilized in faculties throughout California, Oregon, New Jersey, Louisiana and past, with plans to broaden nationwide and internationally. While the platform started with AP programs, the long-term purpose is broader.
“We want to expand to K-12,” Bhardwaj says. “We’ve built the infrastructure so we can take any state standards and create the curriculum and assessments very quickly.”
Five years out, Bhardwaj sees Magna not simply as a tool, however as a part of the spine of AI-enabled training.
“We want to be considered pioneers in using AI responsibly for education,” he says, “not replacing teachers but empowering them to connect more deeply with students.”