2026 Recipients


Anuj Mehta


Photo of Anuj Mehta.

Anuj Mehta | Industrial Engineering

COO and Co-founder, Glimpse

Anuj Mehta, along with two fellow Boilermakers, are the co-founders of Glimpse, the first end-to-end deduction management service powered by AI. Deductions are the dollars that big-box retailers and distributors withhold from the consumer brands they stock for running in-store promotions, missed or late shipments, spoiled or damaged goods, and various other costs of doing business. These brands spend countless hours planning, optimizing, and reconciling these dollars, as well as disputing and recovering the 10-15% that is often assessed erroneously due to human-error or miscommunication. Millions of dollars in invalid claims often go undisputed because validating deductions is a cumbersome task.

“For decades, finance teams at food and beverage brands had no choice but to manage this manually, logging into retailer portals, cross-referencing spreadsheets and emailing claims, often missing deadlines and writing off millions as an unavoidable cost of doing business,” said Mehta, who is the company’s CPO. Glimpse’s suite of AI agents ingest unstructured data from emails, PDFs and retailer portals, then automatically validate and reconcile invalid deductions. For one $1 billion consumer product brand, a Glimpse agent reviewed 17,000 deductions in under 24 hours — work that would’ve taken a full-time employee approximately two years — identifying millions in recoverable revenue.

Their original proposal of helping short-term rental hosts earn revenue by placing branded products in their properties earned Glimpse a spot on Forbes’ 30 under 30 list in 2023. In 2024, after assessing limitations with that idea, the three pivoted to its current objective. It paid off. The company achieved 10 times growth in 2025, processed $1 billion+ in invoices for 150+ active clients and cleared $52 million in funding raised. The platform is used by 200+ brands, including Suave, Chapstick and Lemon Perfect, and is growing rapidly.