Enter your team size, average dev cost, and AI adoption today. We'll show you what an AI-augmented Devlyn pod would save - using the actual velocity data from Calenso (6×), Creaitor (5×), Heliogic (2.1×), and MariDeal (1.5×).
By switching {swap} roles to a Devlyn AI-augmented pod and keeping the rest in-house with stronger AI tooling.
Calenso · Switzerland · SaaS
6× velocity
Creaitor.ai · Switzerland · AI Content
5× velocity
Heliogic AI · USA · Healthcare voice
2.1× velocity
MariDeal · Mauritius · Marketplace
1.5× at scale
Velocity multiplier. Modeled from 22 real Devlyn engagements where we tracked Pre-AI baseline hours vs With-AI delivered hours. Velocity = baseline / actual. Distribution: median 2.6×, p25 1.5×, p75 4.2×, max 6×.
Loaded cost. US senior engineer total cost = base $160k–$220k + benefits 22% + payroll tax 8% + facility/IT 5% + management overhead 12% = $200k typical. EU and Eastern Europe scaled accordingly. Devlyn pod = $30k loaded/dev/yr.
Months saved on hiring. Industry baseline 90–180 days for senior eng. Devlyn = 7-day start. Months saved = (your selected lead time − 0.25). Multiplied by your selected dev cost / 12 to estimate carrying cost during the gap.
"Roles to swap." We assume swapping 2 of your current devs to Devlyn for the calculator default. Adjusts proportionally with team size. Switching all roles is not always optimal — keeping in-house seniors for architecture + AI-augmented Devlyn for build is the highest-ROI mix in our case data.
AI adoption uplift. Below 30% adoption, an AI-augmented hire delivers a meaningful step-change. Above 60%, the marginal gain narrows but cost differential still wins. The calculator weights this into the velocity multiplier.
All figures are estimates anchored on actual Devlyn case data. Your savings will vary based on stack complexity, team distribution, code-review cadence, and AI tooling fluency. We'll model your specific scenario on a 30-min call.
We'll model your team specifically and email back the breakdown — within 24 hours, no call required.