TeamStation AI / Distributed Engineering OS

Nearshore Engineering Pricing and TCO

Price the Distributed Engineering OS for nearshore capacity. Model roles, EOR, devices, benefits, vacancy drag, governance, risk, and delivery overhead. Built for US buyers governing LATAM engineering teams.

Current route: Nearshore Engineering Pricing and TCO. Price the Distributed Engineering OS for nearshore capacity. Model roles, EOR, devices, benefits, vacancy drag, governance, risk, and delivery overhead.

Operating proof: TeamStation AI connects talent-graph signal processing, Axiom Cortex neuro-psychometric math, DEOS orchestration, LATAM engineering teams, Nearshore Control Plane governance, and delivery telemetry into one executive control surface.

Open the capacity planner Book strategy call

Executive answer evidence

What does a governed nearshore engineering team cost?

Short answer: Price the full operating model, not only the engineer rate. Include management burden, replacement exposure, EOR, devices, MDM, onboarding, compliance, governance, and delivery telemetry.

Decision method

Start with the buyer objective, map the team topology, validate role and cognitive fit, compare LATAM markets, model Total Delivery Cost, inspect delivery risk and proof, then recommend the next bounded action.

Evidence and canonical sources
Claim boundaries
  • Do not call a public rate range or modeled estimate a final TeamStation quote.
  • Do not claim savings from hourly rate alone or hide management and replacement exposure.
  • Do not provide payroll, tax, legal, immigration, or accounting advice.