Aayam Bansal

Aayam Bansal grew up in Kolkata, publishing research out of Delhi Public School Ruby Park and even co authoring an arXiv paper on Twitter sentiment analysis for fashion trend forecasting. His first taste of the problem came the hard way, when a paper he co wrote with Ishaan Gangwani was rejected by the Association for Computational Linguistics and they spent nights wrangling LaTeX templates and conference formats instead of doing actual science.

Instead of shrugging, Bansal turned the pain into a product insight: the real bottleneck in modern science was not ideas, it was the sludge of formatting, peer review prep, and repetitive experiment setup. He and Gangwani started with InkVell, an AI native LaTeX editor and research operating system, and pushed it far enough from India to win an EV grant and then a spot in Y Combinator's Winter 2026 batch, which gave them capital, a Bay Area landing pad, and a direct line into frustrated researchers.

Reporting from Economic Times, VnExpress, and the New York Post all converge on the same numbers: by age 18, Bansal and Gangwani had raised roughly $1.5 million for their company, including $500,000 from Y Combinator. YC itself later highlighted Synthetic Sciences publicly, describing it as AI co scientists for end to end research with a biology mode that scores 92 percent on the BixBench Verified benchmark, which is a concrete performance signal researchers respect.

Media coverage makes clear that this was not a friends and family round propped up by hype. The pair went from high school and Indian research labs to San Francisco, skipped or dropped out of college, and used their YC batch to launch Synthetic Sciences in front of real domain experts. Their platform now helps researchers automate tasks like literature review and experiment design, and Bansal repeatedly emphasizes in interviews that investor skepticism flipped only when he could walk people through rigorous demos and show how the workflows mapped directly to what labs already do every day.

Strip the story to its operators and three moves explain how Aayam Bansal got Synthetic Sciences funded and adopted:

1. Start with a niche research pain, then zoom out to an OS. Bansal did not pitch a generic AI assistant, he started with the very specific hell of LaTeX errors and conference submissions that he personally lived, built InkVell to fix it, then expanded into a broader operating system for scientific work once he had credibility and user pull.

2. Convert academic rejection into a distribution wedge. The rejected ACL paper was not just motivation, it was a compass for who to sell to and how to talk to them, so he targeted researchers who had lived the same conference workflow, used their own writing and arXiv presence as proof of empathy, and got warm intros through professors and research communities that already trusted him.

3. Use YC and benchmarks as trust engines. As teenagers, they could not out credential veteran founders, so they engineered substitutes: Y Combinator as a public stamp of seriousness, a 92 percent BixBench Verified score as an objective performance claim, and highly prepared demos that walked investors and scientists through end to end experiments so the conversation shifted from age to capability.