Every line in your engineering budget has a number.
Drift doesn't.
Cloud, licenses, headcount. The cost of software that doesn't match your own standards sits inside those lines, unmeasured and unowned. This puts a figure on it for your organization in about two minutes, using your headcount and your blended rate.
A defensible figure, not a benchmark
To get started, you’ll provide a few inputs you already have: your engineering headcount, fully-loaded cost per engineer, what your teams are working on, and three quick questions about consistency today.
From that, the calculator gives you two numbers: the estimated annual cost of drift, and how much of that cost could potentially be recovered.
Where the recoverable share comes from
Most AI coding spend isn’t writing code. It’s reading and figuring out what the codebase means.
A governed context layer does that work upfront, giving the model the right context before it starts. That means fewer tokens, and often a smaller model, for the same task.
That’s where the potential for up to 60% lower operating cost comes from.
What existing deployments report
less frontend rework
faster delivery
output with the same team
lower operating cost
Based on outcomes observed across existing DesignVerse enterprise deployments.
Directional, not an audited benchmark.
Consistency stops being a policy
and becomes infrastructure
Rules are defined once
Code repositories, documentation, design systems, business flows, QA and test definitions compiled into one governed layer.
AI acts inside the defined system
The retriever assembles the relevant slice and enriches the prompt. All of the context work happens before the model is called.
Software is generated from shared context
Architecture, front end, back end and containers — produced inside your existing codebase rather than beside it.
Alignment becomes enforced
Standards are applied at the point of generation instead of being documented, circulated and quietly ignored.
Spend you can see.
Output you can audit.
Your infrastructure
Private cloud, on-premise or VPC — and air-gapped where code legally cannot leave the building.
Isolation and access
Fully isolated environments and role-based access control, through your own identity provider.
A traceable record
Every prompt saved as a frozen, hashed version, attributable to a user, with revert.
"The first wave of enterprise AI was about access to better language models. The next wave is about making those models more knowledgeable about your organization."
Andrei Manolache · CEO, DesignVerse
Put a number on it.
Two minutes, your own inputs, and a number you can take into a budget review.
Your results show both options side by side: take the report with you, or book time with our team and walk through it together.
DesignVerse — the Engineering Context Layer
Figures are estimates based on your inputs, not a quote.