Build it yourself? You’ll be maintaining it yourself, too.

AI codegen makes the v1 fast. The next three years of evals, governance, model upgrades, and CFO defensibility are what kill internal value tools.

Feature Comparison

Feature

ValueNova

Custom-Built Solution

Time to v1Key

1-2 weeks

3-6 months (faster with AI codegen)

Time to a CFO-defensible v1Key

1-2 weeks

12-18 months

Upfront investmentKey

$0 to start, $300K+ to operate over 3 yrs

Roadmap owned by someone whose job it isKey

Ongoing maintenance

Included

20-30% of build cost / year

AI/LLM layer kept current (model upgrades, evals, prompt regression)Key

Continuous

Becomes its own engineering function

Industry benchmarks

Pre-loaded & updated

Must source, license, and maintain

Best practices

Embedded in product

Must develop internally

Customization

Configurable blueprints

Full control (and full responsibility)

Integration support

Pre-built connectors

Custom development

Total 3-year costKey

$50K-150K

$300K-1M+

Times and costs in this table are illustrative internal planning ranges, not published vendor pricing or independently verified industry averages. Actual costs vary by scope, implementation and organisation.

ValueNova Advantages

Launch in weeks, not months or years
10x lower total cost of ownership
Benefit from continuous product improvements
No engineering resources required
Embedded best practices from value engineering experts

Custom-Built Solution Limitations

Significant upfront investment and ongoing costs
Requires dedicated engineering team
Maintenance burden diverts resources from core business
No benefit from broader market learnings
Risk of project failure or scope creep

Which is Right for You?

Choose ValueNova if you...

Most organizations (95%+ of use cases)
Teams wanting fast time-to-value
Companies without dedicated development resources
Organizations focused on core business, not tool building

Consider Custom-Built Solution if you...

Companies whose value methodology is genuinely proprietary IP
Regulated environments where data cannot leave a private VPC
Organizations with a standing platform team already chartered to own internal sales tooling
Highly unique requirements no platform — including ours — can configure to

Frequently Asked Questions

AI codegen makes building this fast and cheap. Doesn’t that change the math?

It changes time-to-v1, not time-to-trustworthy. The expensive part of a value engineering tool isn’t writing the calculator — it’s the curated benchmark library, the eval harness that catches regressions when you upgrade models, the audit trail your CFO needs, the integrations to CRM, and the ongoing methodology updates. Concede the launch is faster than it used to be; the lifecycle is what kills internal builds.

What if we have unique requirements?

ValueNova's blueprint system is highly configurable. Most 'unique' requirements are actually variations we can accommodate. Let's discuss your specific needs.

Can we migrate later if we outgrow the platform?

Your data and models are designed to be exportable at any time. We are building ValueNova to scale with a team as its needs grow rather than to lock anyone in.