The Future of PAICE
Business Model, Pricing, and Sustainability

One of the most common questions we get is: "How will PAICE make money?" It's a fair question, especially given our commitment to keeping individual assessments free forever. Today, I want to be completely transparent about our business model, pricing strategy, and how we're building a sustainable company that serves our mission. This describes our intentions and status of December 2025, and we'll provide future updates as we learn and evolve.
The Short Version
What stays free forever:
- Individual PAICE assessments
- Your results and insights
- PDF downloads
What we'll charge for:
- Team and organizational assessments
- Advanced analytics and benchmarking
- Integration with HR/LMS systems
- Custom validation studies
- Priority support
Our commitment: We're building a sustainable business that serves our mission, not compromising our mission to maximize revenue.
Why This Matters
As a Public Benefit Corporation, we're legally obligated to balance financial sustainability with our public benefit mission: enabling safer and more effective People + AI collaboration through independent capability measurement. But we're also a real business with real costs.
This means we need revenue to:
- Pay our team fairly
- Maintain and improve the platform
- Conduct ongoing validation research
- Scale to meet growing demand
- Build long-term infrastructure
We won't compromise measurement integrity, privacy protection, or accessibility for short-term profit.
What Stays Free Forever
Individual Assessments
The core PAICE assessment will always be free for individuals. This isn't a "freemium teaser" or a limited trial. It's a fundamental commitment to our mission.
Why?
- Accessibility: Everyone should be able to measure their AI collaboration capability
- Research: We need diverse data to validate and improve the framework
- Public Benefit: Widespread measurement serves the broader goal of safer AI adoption
- Mission Alignment: Our PBC charter requires us to prioritize public benefit
What's included:
- Full 25 minute assessment
- Complete PAICE score and tier classification
- Dimensional breakdown across all five dimensions
- Confidence interval and reliability metrics
- Personalized insights and recommendations (upon email submission)
- PDF download of results (upon email submission)
- Ability to retake periodically (upon email submission)
Your Data and Privacy
Your privacy protections will never be monetized. We will not:
- Share your results in any way that could identify you
- Use your conversations for training our models
- Compromise privacy for revenue
This is both a mission commitment and a legal obligation under our PBC structure.
What We'll Charge For
Team and Organizational Features
Phased Launch: Q1-Q3 2026
Organizations derive significant value from understanding team-wide AI collaboration capability. These features will be paid:
Team Dashboards (always anonymized at the individual level):
- Aggregate team scores and trends
- Dimensional strength/weakness analysis
- Skill gap identification
- Training needs assessment
- Progress tracking over time
Organizational Analytics (always anonymized at the individual level):
- Department-level benchmarking
- Role-based capability profiles
- Readiness scoring for AI initiatives
- Custom reporting and exports
- Integration with existing systems
Why charge?
- Organizations value capability assessment
- These features require significant development
- Enterprise support and customization are resource-intensive
- B2B revenue enables free individual access
Pricing approach:
- Per-seat pricing for teams
- Enterprise pricing for large organizations
- Academic and nonprofit discounts
- Pilot program pricing (heavily discounted for early partners)
Advanced Individual Features
Target Launch: Rolling throughout 2026
Some advanced features for individuals may be paid:
Potential Premium Features:
- Historical trend analysis
- Peer benchmarking (anonymized)
- Personalized training partner discounts
- Resources to improve lower dimensional scores
- PAICE Gym (interactive practice exercises)
- Custom reports & exports (JSON, CSV, etc.)
- Early access to new features
- Priority support
Pricing approach:
- Core assessment remains free
- Subscription model for premium features
- One-time purchase option for some enhanced features
Important: We haven't finalized which features will be premium, or what that pricing will be. We're committed to keeping the core value proposition free.
Custom Validation and Research
Available Now via PAICE Pilot Program
Organizations wanting custom validation studies or research partnerships:
Custom Services:
- Industry-specific validation studies
- Custom assessment frameworks
- Integration with proprietary systems
- White-label assessment deployment
- Research collaboration
Why charge?
- Highly customized, resource-intensive work
- Requires dedicated research team time
- Provides significant organizational value
- Enables continued free individual access
Pricing approach:
- Project-based pricing
- Typically mid-five figures and up depending on scope
- Academic partnerships may be subsidized
Business Model Principles
1. Mission-First Revenue
Every revenue decision must serve our mission:
-
✅ Aligned: Team assessments help organizations deploy AI safely
-
❌ Misaligned: Selling individual data to recruiters
-
✅ Aligned: Premium features for power users who want more
-
❌ Misaligned: Paywalling core assessment capability
-
✅ Aligned: Custom validation for organizations
-
❌ Misaligned: Compromising measurement integrity for sales
2. Sustainable, Not Extractive
We're building for the long term:
Sustainable:
- Fair pricing that reflects value delivered
- Revenue that supports ongoing development
- Margins that enable reinvestment in research
- Growth that maintains quality
Not Extractive:
- No data monetization
- No surveillance features
- No artificial limitations on free tier
- No bait-and-switch pricing
3. Transparent and Predictable
We commit to:
- Clear pricing published publicly
- No surprise charges or hidden fees
- Advance notice of any pricing changes
- Grandfathering for early customers
- Honest communication about costs
We will not:
- Use dark patterns to upsell
- Hide true costs in fine print
- Change terms retroactively
- Exploit lock-in
The Path to Sustainability
Current State (Research Preview)
Revenue: $0 (pre-revenue)
Funding: Bootstrapped by founder
Focus: Validation, pilot partnerships, product development
Costs:
- AI API costs (Claude, Gemini, ChatGPT, future models)
- Infrastructure (hosting, database, analytics)
- Development tools and services
- Research and validation
- Marketing and outreach
Near-Term (2026)
Revenue Sources:
- Pilot program partnerships (discounted)
- Early team/organizational customers
- Partnerships with complementary services
- Premium individual features
- Custom validation projects
Goals:
- Reach operational sustainability
- Validate organizational value proposition
- Build team assessment features
- Expand validation research
Funding:
- Seeking seed round in Q1-Q2 2026
- Mission-aligned investors only
- Maintain founder control and PBC structure
Long-Term (2027+)
Revenue Model: Over time, we expect the majority of revenue to come from organizational subscriptions, with smaller portions from partnerships, premium individual features, and custom research.
Goals:
- Profitable and capital-efficient
- Expanded research and validation
- Perpetually free individual access
- AI benchmarking and industry standards
- Informing global policy for AI governance
What This Means for You
If You're an Individual User
Nothing changes. Your assessment is free, your data is protected, and you'll continue to get value from PAICE.
In the future:
- Core assessment remains free
- Optional premium features may be available
- You'll never be forced to pay for basic capability measurement
If You're an Organization
We want to work with you. Team and organizational features will provide significant value:
- Understand team-wide AI readiness
- Identify skill gaps and training needs
- Track improvement over time
- Benchmark against industry standards
- Make informed AI deployment decisions
Pilot Program: We're currently seeking pilot partners for heavily discounted early access.
If You're a Potential Investor
We're seeking mission-aligned capital. Our PBC structure means:
- You're investing in a long-term, product-led, usage-driven model platform that provides a scoring infrastructure for the AI economy
- Multi-sided marketplace (individuals + organizations + partnerships + AI benchmarking)
- We're building for massive B2B growth and sustainable B2C scale to inform global AI policy
- People+AI Collaboration Effectiveness scoring is only more valuable as AI evolves
- Returns come from anti-fragile value creation, not data exploitation
Seed Round: Planning for Q1-Q2 2026. Reach out if you're interested.
Addressing Common Concerns
"If it's free, I'm the product"
Not with PAICE. We're a PBC with legal obligations to protect your privacy. We don't sell data, we don't monetize surveillance, and we don't compromise privacy for revenue.
Our revenue comes from:
- Organizations paying for team features
- Individuals optionally paying for premium features
- Custom research and validation projects
Not from:
- Selling your data
- Advertising
- Surveillance
- Data brokerage
"How can you afford to keep it free?"
Cross-subsidization. Organizations derive significant value from team assessments and are willing to pay. That revenue enables free individual access.
Similar models:
- Slack: Free for individuals, paid for teams
- GitHub: Free for public repos, paid for private/enterprise
- Zoom: Free for basic use, paid for advanced features
Our advantage: Our PBC charter makes it much harder to justify killing the free tier or monetizing your data.
"What if you get acquired?"
PBC protections apply. Any acquirer would need to respect our PBC mission and the commitments in place at that time, and we would walk away from deals that do not.
We commit to:
- Providing advance notice of any ownership change
- Giving users opportunity to export/delete data
- Maintaining privacy commitments through transitions
Most likely: We'll remain independent and build for the long term.
"Will prices increase over time?"
Probably, but transparently. As we add features and value, pricing may adjust. But:
- Individual assessments stay free
- Existing customers will be grandfathered
- Changes will be announced well in advance
- Increases will reflect added value
We will not:
- Suddenly paywall existing free features
- Use bait-and-switch tactics
- Exploit customer lock-in
- Hide price increases
Our Pricing Philosophy
Value-Based, Not Cost-Plus
We price based on value delivered, not just our costs:
For Organizations:
- What's the value of understanding team AI readiness?
- What's the cost of poor AI deployment?
- What's the ROI of targeted training?
For Individuals:
- What's the value of career development?
- What's the cost of skill gaps?
- What's the benefit of continuous improvement?
Fair and Accessible
Pricing should:
- Reflect value delivered
- Be accessible to target users
- Support sustainable operations
- Enable continued free access
Pricing should not:
- Exploit necessity
- Create artificial scarcity
- Maximize extraction
- Exclude legitimate users
Transparent and Predictable
You should always know:
- What you're paying for
- Why it costs what it does
- When prices might change
- What alternatives exist
You should never:
- Be surprised by charges
- Face hidden fees
- Be locked into unfair terms
- Be unable to understand pricing
The Road Ahead
Q1 2026: Pilot Program
- Working with 5-10 pilot organizations
- Development of team features
- Validation of organizational value
Q2-Q3 2026: Team Features Launch
- Automated Team dashboards and analytics
- Integration capabilities
- Enterprise features
Q4 2026: Premium Individual Features
- Optional advanced features
- Always optional, never required
- Core assessment remains free
2027+: Scale and Sustainability
- Profitable operations
- Expanded research
- Standards participation
- Industry-wide adoption
Our Commitment
We commit to:
- ✓ Keeping the core PAICE assessment free for individuals
- ✓ Protecting your privacy above profit
- ✓ Transparent, predictable pricing
- ✓ Mission-first business decisions
- ✓ Long-term sustainability over short-term extraction
- ✓ Honest communication about our business model
We will not:
- ✗ Sell your data
- ✗ Paywall core assessment capability
- ✗ Use dark patterns or hidden fees
- ✗ Compromise mission for revenue
- ✗ Exploit user lock-in
- ✗ Hide our business model
Questions?
This is an ongoing conversation. If you have questions about our business model, pricing, or sustainability:
Individuals: Contact us with questions or concerns
Organizations: Reach out about pilot partnerships
Investors: Get in touch about our upcoming seed round
Researchers: Connect about collaboration opportunities
We're building PAICE for the long term. That requires sustainable revenue, but it also requires unwavering commitment to our mission. As a Public Benefit Corporation, we're legally structured to maintain that balance.
Your trust is essential, especially in this Age of AI. We'll continue to earn it through transparency, integrity, and consistent delivery on our commitments.
Ready to assess your AI collaboration capabilities? Take the free PAICE assessment to get personalized insights and recommendations.
Recommended Reading
📖 About PAICE:
- We're Official! PAICE.work PBC - Why we chose the PBC structure
- Your Data, Your Privacy: How PAICE Handles Your Information - Our privacy commitments
- PAICE.work Whitepaper Released - Comprehensive framework documentation
📖 For Organizations:
- Introducing the PAICE Pilot Program - Early access opportunities
- Measuring AI Collaboration ROI, Part 1: Framework and Metrics - Understanding organizational value
- Creating Team AI Collaboration Standards: A Practical Framework for 2026 - Building team capability
📖 Get Started:
- The PAICE Framework: Five Dimensions of AI Readiness - Understanding what we measure
- How to Prepare for Your PAICE Assessment (Spoiler: You Don't) - Taking your first assessment
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