Speedy Labs Targets the $1 Trillion Rebate Market With an AI-First Approach

Speedy Labs, a Y Combinator Winter 2023 company, is taking aim at a financial problem that quietly drains billions of dollars from manufacturers and distributors every year: the opaque, spreadsheet-driven world of rebate management. Founded in 2023 by Jatin Mehta, Ranti Dev Sharma, and Ayush Jasuja, Speedy Labs offers an AI-powered platform that helps industrial businesses track rebate payments, measure their performance, and unlock profit margin insights buried inside siloed financial data.

Rebates are one of the most common and most mismanaged forms of revenue and cost adjustment in B2B commerce. In North America alone, roughly $1 trillion worth of rebates are exchanged every year between manufacturers, distributors, and buying groups. Despite the scale, the category is dominated by manual workflows: massive spreadsheets, email chains, and handshake agreements that are nearly impossible to audit. The result is missed earnings, unclaimed credits, and disputes that can stretch on for quarters. Speedy Labs estimates that error-prone spreadsheet processes cost its target customers millions of dollars per year in missed rebate opportunities.

Speedy Labs’ software replaces those spreadsheets with a purpose-built system. The platform ingests contract terms, invoice data, and purchase history, then uses AI models to reconcile what was actually owed versus what was paid. Beyond the bookkeeping, Speedy Labs surfaces analytical insights: which programs are profitable, which suppliers are underperforming, and where pricing leverage is being left on the table. For finance and operations leaders who have never had reliable visibility into their rebate portfolios, the step change is significant.

The company has quietly grown its team to eight as it builds out the platform and signs early enterprise customers. Speedy Labs and the founders’ earlier generative-AI work have been featured in TechCrunch coverage of YC’s AI-focused cohorts, highlighting a trend of startups applying LLMs to unsexy but high-leverage back-office problems. Three open roles are currently listed, spanning engineering and customer-facing functions.

The founders have emphasized that the rebate category is unusually well suited to AI. The work involves parsing unstructured contract language, reconciling noisy data from multiple ERPs, and producing clear recommendations, tasks where modern foundation models can add dramatic leverage compared with rule-based software. For customers, this translates into faster implementations, broader coverage of rebate programs, and fewer missed dollars.

The broader market opportunity is considerable. Incumbent rebate management vendors have historically served only the largest enterprises and charged implementation fees that push the technology out of reach for mid-market manufacturers and distributors. By using AI to automate the heavy lifting, Speedy Labs can profitably serve a long tail of companies that were previously stuck on spreadsheets. Combined with rising interest from finance leaders in margin optimization, the timing looks strong.