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
Most businesses already have the data to find real, unclaimed profit — buried across pricing, customer behavior, 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.
Three barriers no human team, or copilot, can fully clear
The scale barrier
A business generates far more cross-signal combinations — across SKUs, customers, regions, and time — than any team can manually review, every day, forever.
The degradation barrier
Manual analysis degrades under volume and fatigue. The pattern that mattered most is just as likely to be missed as the one that didn't.
The computation barrier
Finding what nobody thought to ask requires continuously testing combinations no one queried for — something reactive tools, bounded by a human's question, are structurally not built to do.
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.
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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 →Headquartered in Austin, TX
r-daniel is built for B2B manufacturing and distribution companies who want profit maximization without adding headcount to find it.
[Founding story and company timeline to be added here.]
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