Why Atlas is building the revenue engine for the AI-native economy?
Why Now? Why Atlas?
AI is rewriting the startup playbook overnight. Teams are shrinking, outputs are multiplying, and software is no longer just a tool; it does the work itself.
Monetization hasn’t kept pace. Most AI-native companies still price like SaaS, by seats, when the whole point of agentic software is to remove seats. When Anthropic’s Head of Enterprise Revenue, Sam Werboff, joined our June launch panel, he said what many founders are quietly realizing:
“We’re not immune to this. We’re learning that by using legacy business models we’re cannibalizing our own market.”
The new existential challenge is pricing market fit. Just as startups must find product market fit, AI-native companies now need to discover and continuously adapt the right business model. Without it, growth stalls. With it, they become category leaders.
Atlas is built for this moment. We are the Shopify for AI-Native Businesses, turning pricing and billing into a growth engine. Where Stripe powered internet commerce and Shopify enabled internet retail, Atlas will capture AI-native monetization, an economy projected to 3x by 2030.
This isn’t just infrastructure. It’s the foundation of a new economy. Investors backing Atlas are betting on the company that will power monetization for the next 100,000 AI startups; evolving from billing to the intelligent operating system for the GTM team, and in the process becoming a systemically critical business capable of processing trillions in revenue flows.
Problems
Find and Evolve Pricing Market Fit
The fundamental job 70,000 AI founders struggle with is finding and evolving pricing market fit. Pricing Market Fit means discovering the right way to charge so revenue scales with value delivered. It’s the missing link between building a great AI product and building a great AI business. Everything else ladders up to this single challenge:
- “My Seat-based SaaS model is actively working against my AI business.” By removing humans from workflows, AI cannibalizes its own market when priced per seat. Founders know they need new models, (credit, outcome, etc.) but are trapped by legacy infrastructure.
- “I don’t know how to optimize my prices.” AI products don’t fit old SaaS molds. There’s no playbook, no benchmarks, and little historical data. Should pricing be by task, token, credit, agent, or outcome? Is too much value being left on the table? No one knows yet and consultants and revops hires are slow, expensive, unscalable.
- “Even if I choose a model, I can’t execute fast.” Legacy billing systems and in house builds assume you already know your model. They calcify around it, requiring engineers and months of work to change. This kills iteration.
In short, AI-native companies need a way to discover, test, and evolve their monetization strategies with the same agility they use to ship product. Today, that’s impossible.
Solution
Atlas is taking a first-principles approach. We’ve thrown out the SaaS playbook, reduced revenue generation to its fundamentals, and rebuilt it from the ground up for an AI-native world. What historically took 6 products and 10+ humans and 9 months to manage/complete, now happens daily within Atlas. Built for highly efficient teams leveraging data and AI.
Atlas’ SDK unifies product usage, provisioning, billing workflows, and agentic monetization workflows into a single system. This powers pricing market fit and rapid growth through dynamic pricing optimization, intelligent cross-sell and upsell, and proactive churn prevention. For example, AI companies can introduce a new AI agent, experiment with credits vs. outcome-based pricing, roll out changes across self-serve, PLG, and enterprise channels, provision the product according to entitlement and send out invoices - all in days, not quarters, and without touching their product’s code or standing up a billing or RevOps team.
Differentiators
- Atlas is AI-native: agents that optimize pricing, seek growth opportunities and fight churn in real time.
- SDK-first: installs directly into the product to capture first-party data, creating defensibility.
- End-to-end: strategy → analytics → billing/invoicing → iteration, all in one platform.
- Atlas is purpose built for Revenue owners in AI-native and AI Retro-Fit, B2B companies.
Product
Today, Atlas is a billing platform for AI SaaS companies that want insight on how their business model is performing and flexibility in pricing and billing options. Often brought in by the CEO, CRO or Head of Product, and used daily by the monetization team, Atlas is tightly integrated inside customers applications allowing one click pivots between business models, price points, and entitlements. Changes are deployed immediately without engineering intervention.
Adoption so far has shown us that Atlas creates a foundation for how companies think about monetization as a growth lever.
Current Product Pillars
- AI Native Billing Infrastructure
- Subscription management
- Credit and usage based billing
- LLM friendly data model
- Scalable, secure, and performant event ingestion engine
- Product Led Support
- Pricing “CoPilot” for pricing model generation
- Hosted components (price page, inline checkout, customer portal, and credit usage)
- SDK installation for billing, feature gating/limiting, and provisioning
- Sales Led Support
- Natural language executable quote generation (Slack App)
- Full quote to cash to provisioning workflow
- Integrations - Slack, Hubspot, Stripe, Quickbooks, Xero
Any questions? Get in touch with Michael Hoy at hoy@runonatlas.com
