How Invaluate supports you
Hands-on support across pricing, pilots, enterprise deals, and the investor story.
Why not just price it yourself?
Founders are tempted to throw pricing together and move on. Here's what changes when it's done deliberately.
A model matched to how you create value
Price points triangulated from willingness-to-pay evidence
Concession rules and a waterfall that protect value
A monetization narrative backed by data
A foundation that scales without being rebuilt
Proven Process for Your Goals
Our step-by-step approach simplifies challenges, delivers tailored strategies, and drives measurable results.
1
Diagnostic
We map where your pricing is leaking value or creating friction. Fast, focused, and decision-ready.
2
Architecture
We design the pricing model, packaging, and deal structure that fit how your product actually creates value.
3
Execution
We help you roll it out: sales enablement, deal support, and the metrics to know it's working.
What Makes Us Different
Pricing expertise built for how AI and software startups actually create value.
Built for AI economics
We work with the variable costs, labor-budget attribution, and autonomy questions AI products actually face, not generic SaaS pricing.
Pricing from day one
Pricing shapes your product and your unit economics. We set the foundation early instead of rebuilding it later at high cost.
Real pricing expertise
Pricing strategy refined at Simon-Kucher, the world's leading pricing consultancy, applied to the realities of early-stage founders.
Your Questions, Answered Clearly
Whether you’re seeking strategic direction or improving business performance, here are answers to the most common questions clients ask.
“AI changed what software is worth. Most monetization strategies are still catching up.”
Tariq, Founder @ Invaluate
What stage of company do you work with?
Mostly pre-seed through Series A startups, the stage where pricing decisions start to carry real weight. Later-stage companies bring us in for specific problems too, like restructuring a model or preparing for a large enterprise deal.
Is this only for AI products?
The work applies to modern software broadly. AI products tend to have sharper pricing challenges, like variable costs, attribution to labor budgets, and uncertainty about autonomy and outcomes, but the approach fits any software business trying to price deliberately.
We haven't hit product-market fit yet. Isn't pricing premature?
Usually the opposite. For AI and software products, the pricing model shapes the product, the sales motion, and the unit economics. Waiting until after PMF often means rebuilding the commercial foundation later, which is expensive. A deliberate first version early is part of finding fit, not a distraction from it.
How are engagements structured?
Usually fixed-scope projects sized to the decision you need to make, from a focused diagnostic to a full pricing and packaging build to support on a live enterprise deal. We scope around the specific problem rather than selling open-ended retainers.
How do we start?
Tell us what you're working on through the contact form. We'll respond with next steps and a time to connect.
The Expert Behind Invaluate
After advising software and AI companies on pricing at Simon-Kucher, I started Invaluate to help early-stage founders get monetization right from the start, before it becomes expensive to fix.
Tariq Usmani
Founder, Invaluate