We believe profit shouldn't require a team of analysts to find.
r-daniel exists to make Autonomous Profit Maximization possible for B2B manufacturing and distribution companies — without hiring a team to run it.
The best opportunities are the ones nobody thought to look for
Bigger companies don't outwork you. They out-see you. Not anymore.
Most businesses already have the data to find real, unclaimed profit — buried across customer behavior, pricing, and inventory. The problem was never a lack of data. It was that finding these patterns required a team of data scientists and analysts most companies don't have — and even then, cross-referencing signals at this scale is a job no human team can do exhaustively, every day. r-daniel was built to close that gap: autonomously, continuously, and without the specialist headcount.
The team behind r-daniel
This is our leadership team — backed by a talented team of 15+ people driving Deep Tech Native AI development and operations to support our customers.
Leads revenue and go-to-market at r-daniel, turning what Autonomous Profit Maximization finds into decisions manufacturing and distribution teams actually act on. Previously in commercial and operations roles at GaussSoft and Colgate-Palmolive.
LinkedIn →
Leads product and technology at r-daniel, building the discovery engine behind Autonomous Profit Maximization. Previously CTO and then CEO at GaussSoft, after leading technology at Sistemas Corporativos S.A.
LinkedIn →
Leads investor relations at r-daniel, bringing venture and startup-building experience from R3i Ventures, Honda Innovations, and his own company, Awayr AI, to help fund the next stage of Autonomous Profit Maximization.
LinkedIn →Built for B2B manufacturers and distributors
r-daniel is built for B2B manufacturing and distribution companies who want profit maximization without adding headcount to find it.
Let's find yours.
See what r-daniel finds in your own customers, prices and inventory before you decide anything.