Building got cheap.
Proof didn’t.

Solutions for software teams: which feature, and which claim. Both settled before engineering commits to the release or the campaign goes out.

Building got cheap.
Proof didn’t.

Solutions for software teams: which feature, and which claim. Both settled before engineering commits to the release or the campaign goes out.

Building got cheap.
Proof didn’t.

Solutions for software teams: which feature, and which claim. Both settled before engineering commits to the release or the campaign goes out.

THE PROBLEM

You used to ship and they added. Now you ship and they subtract.

You used to ship and they added. Now you ship and they subtract.

Shipping used to buy you two years. The stack used to get bigger, seats grew with the headcount, and a feature list closed the deal.

That market is gone.


Shipping used to buy you two years. The stack used to get bigger, seats grew with the headcount, and a feature list closed the deal.

That market is gone.


Shipping used to buy you two years. The stack used to get bigger, seats grew with the headcount, and a feature list closed the deal.

That market is gone.


  • Competitors match you in one to three months. It used to take them eighteen to twenty-four.


  • Four buyers cut the stack for every one that adds. 61% are eliminating platforms because of AI. 13% are adding.


  • Gross retention has fallen from 88% to 84%. The base leaks while you are busy shipping.


  • 41% can prove AI ROI, down from 49%. It is getting harder, not easier.

  • Competitors match you in one to three months. It used to take them eighteen to twenty-four.


  • Four buyers cut the stack for every one that adds. 61% are eliminating platforms because of AI. 13% are adding.


  • Gross retention has fallen from 88% to 84%. The base leaks while you are busy shipping.


  • 41% can prove AI ROI, down from 49%. It is getting harder, not easier.

Three things make the next bet harder.

Three things make the next bet harder.

01

Anyone can build it now.

The feature is no longer the moat. Choosing the right one is the only lead you get.

02

Your AI feature invites a cull.

Announcing AI is now a reason to be reviewed, not a reason to be renewed.

03

Proof keeps getting harder.

A third of buyers want measurable outcomes from your existing clients.



ALGOVERDE SOLUTIONS

Where Software teams usually start.

Where Software teams usually start.

Our solutions, the same AlgoVerde foundation: an AI model of your market, customers, competitors, channels.



PRODUCT FEATURE PRESSURE-TESTING

Think it through from the user’s seat, is this worth building?

Build it or not. What it has to accomplish for the user. And the minimum version — which two things matter, and which 998 come out — settled before engineering commits to the release.

VALUE PROPOSITION MESSAGE TESTING

Which claim survives contact with each stakeholder in the buying group?

The messages that land with each stakeholder — website, deck, outreach — and what the outcome is actually worth. Tested before the campaign, the pricing page and the ROI case go out.

New product capability testing.

Whether a big new capability is worth pursuing, how it will be perceived, and which features it breaks into. Runs before feature work starts.

Feature prioritisation.

The release sequence. What to keep, and what to abandon.

Business model and pricing.

The value you create, how you deliver it, and how you capture it.

ROI calculator.

The value delivered, quantified — so value pricing can be justified. Pricing and ROI are a loop.

PROOF

Nobody believes an AI vendor. So we went first.

Nobody believes an AI vendor. So we went first.

AlgoVerde is its own first customer. We run the system on our own roadmap. It has already changed what we build. The traceability and explainability features in the product exist because users told the model they needed them, even if and we had not planned to build them.

Then we run it on your product, not ours. That is the demo.

Bring the feature you’re about to commit engineering to.

Bring the feature you’re about to commit engineering to.

We’ll run it from your user’s seat and tell you what it has to do, what comes out, and whether it is worth building at all.

FAQs.

FAQs.

Want to know more? Check out our FAQ section for everything you need to know about working with AlgoVerde.

Which industries use AlgoVerde?

The source material highlights Consumer Packaged Goods, Automotive, Retail, Media & Entertainment and Insurance, with additional use across food and beverage, apparel, technology, healthcare and education.

Does AlgoVerde use a different platform for each industry?

No. The foundation is the same living AI model of the market. Industry-specific solutions adapt the workflows, customer questions and outputs to the category and decision being made.

Can AlgoVerde support CPG product innovation?

Yes. CPG use cases in the source include concept generation and testing, product ideation, message testing, brand health assessment, willingness to pay and placement.

Can AlgoVerde support automotive product planning?

Yes. Automotive use cases include customer definition, segmentation, concept development, feature prioritization, positioning, brand validation and market entry readiness.

What if my industry is not listed?

The source explicitly states that the foundation is not industry-specific. Custom solutions can be built when a category or business question does not fit a pre-built industry workflow.