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Research & Methodology

Nearshore Software Delivery Research

TeamStation AI is the first nearshore engineering platform to ground its delivery model in quantitative science. Our research applies operations research, queueing theory, and organizational economics to the real mechanics of distributed software delivery. The findings are not opinions. They are math.

Published Research

O-Ring Theorem (Kremer 1993), Little's Law, interface overhead models C = n(n-1)/2, PR latency tax, and the Shrinking Margin (zeta) coefficient applied to nearshore software delivery. Quantitative proof for why LATAM nearshore engineering outperforms offshore in cost, velocity, and reliability.

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External Research Hubs

TeamStation AI publishes additional research and technical methodology across specialized subdomains.

Apply the Research

CTO Team Topology Guide

Product pods, platform rails, and cognitive alignment frameworks for engineering leaders building nearshore teams.

Nearshore vs. Offshore Playbook

Full TCO analysis across all five engagement models. Quantified at $47,810/mo offshore vs. $5,234/mo LATAM Co-Pilot.

Schedule a Research Briefing

Talk with our team about how the quantitative delivery models apply to your engineering organization.