Built for VPs of Engineering who need to walk into a budget meeting with real numbers. Adjust the inputs below — the model updates in real time.
Full observability + ROI measurement. Typical 6–8 week deployment.
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Get a custom ROI analysis →Based on GitHub's 2024 Copilot research (55% faster task completion) and internal Grafter deployment data. We apply a conservative 2.3x multiplier at Correlate stage, 4.1x at Compound, applied only to the percentage of developers actively using AI tooling.
Valued at 1.5x annual salary per departing developer — the industry standard for replacement cost (recruiting + ramp time + institutional knowledge loss). Applied to the AI-specific knowledge portion, estimated at 30% of total institutional value for actively agentic engineers.
Estimated based on average unmanaged API key spend observed across enterprise deployments — typically 25–40% of developers using personal or unapproved AI tooling, spending $80–150/month without visibility or policy enforcement.
CodeVine's token-based pricing means your platform cost scales with actual usage. The estimate shown uses average token consumption patterns from current deployments — exact pricing varies based on your LLM provider mix and usage patterns. Talk to us for a precise quote.
This calculator provides estimates based on industry benchmarks and CodeVine deployment data. Actual results vary based on team composition, tooling adoption, and engagement model. All figures are annual unless otherwise noted.
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