Comparisons

How ValueNova compares

Sales teams evaluating value engineering usually start in one of three places: spreadsheets they've outgrown, a homegrown calculator someone is vibe-coding with AI, or a build-vs-buy debate that's been open for two quarters.

ValueNova score distribution dashboard: 138 deals across hot, warm, at-risk, and cold tiers with deal-team avatars.

These comparisons are written for each of those starting points. Each one is direct about where ValueNova wins, where it doesn't, and what trade-offs you should be weighing — including the new objection nobody had two years ago: “why can't we just build this with ChatGPT?”

We don't think every team needs ValueNova. We think the teams that do need it know it the moment they see what their current process is actually costing them.

Quick Comparison

FeatureValueNovaSpreadsheetsAI / DIYCustom Build
Time to first business caseSame day4-8 hours1-2 days3-6 months
Reusable, governed value modelsLives in chat history
Built-in benchmarksHallucinated
CFO-defensible mathFragileProbabilistic
Auto-generated deliverablesInconsistentCustom dev
Post-sale value trackingIf you build it
3-year TCO$50-150K$20-50K*“$0”**$300K-1M+

* Spreadsheet TCO excludes hidden costs of errors, rework, and inconsistency.
** AI/DIY looks free, but factor in 3–5 hours per rep per week reinventing math, plus the cost of inconsistent customer-facing outputs.

See ValueNova in action

The best way to evaluate is to see it run on a real deal. Book a 30-minute walkthrough.

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