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Pricing

Offshore AI Development Cost

Offshore AI development cost in 2025: rates by region, what works, what breaks, and how to manage quality.

Overview

What drives Cost

Offshore AI development typically runs forty to eighty dollars per hour depending on region, seniority, and specialty. A full offshore squad of four ships at twenty-five to forty thousand a month - roughly one-third of equivalent US cost. Savings are real but only hold when scoping, communication, and code-review discipline are tight. The tiers below reflect what actually works offshore in 2025.

Cost factors
  • 01Region (LATAM, Eastern Europe, South Asia, SEA)
  • 02Timezone overlap with your team
  • 03English fluency and written clarity
  • 04AI specialty depth vs generalist engineering
  • 05Squad composition (individual, pod, full team)
  • 06QA and code-review discipline
Pricing tiers

Typical pricing tiers

01 / 03
Individual contributor
$40 - $70 / hour
2-3 week start
  • Mid-to-senior engineer
  • Daily standups
  • Written handoffs
  • Code review enforced
02 / 03
Squad of three
$18k - $32k / month
3-5 week start
  • Tech lead plus engineers
  • Shared sprint cadence
  • Weekly demos
  • Shared observability
03 / 03
Full offshore team
$40k - $80k / month
6-10 week start
  • 5-8 engineers
  • Delivery manager
  • QA and DevOps
  • Replacement guarantee
All ranges exclude recurring inference, hosting, and third-party licensing.
What you pay for

No surprise line items

Every engagement is scoped against a written statement of work. Changes are logged weekly and priced transparently. You always know where the number is going before it gets there.

Written scope

A statement of work with deliverables, acceptance criteria, and a timeline before we start.

Weekly change log

Every scope change is logged and priced within a week of being raised. No end-of-quarter surprises.

Code you own

You own the code, prompts, weights, and infra-as-code. Standard work-for-hire clauses, no lock-in.

Handover and support

Runbooks, architecture diagrams, and a support retainer so your team can take it from here.

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FAQs

Pricing questions

Is offshore AI development risky?

It is risky without scoping discipline and code review. With both, quality matches onshore at half the cost.

Which region should we pick?

LATAM for US timezone overlap. Eastern Europe for EU and rigor. India or SEA for cost-sensitive build.

How do we prevent IP leakage?

Contractual controls, device management, and least-privilege access. We run this by default.

Can we mix onshore and offshore?

Yes. Hybrid squads with an onshore tech lead and offshore engineers are our most common model.

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