Unlocking scalable AI revenue: Challenges and strategies for 2026
Saurabh SainiStytch is an authentication platform with pay‑as‑you‑go pricing that offers a “self-serve” slider that lets you estimate your final bill based on the number of your monthly active users.
This post explains how Stytch approached pricing, why usage-based models are critical for platforms like it, and how Orb powers the infrastructure underneath.
Note: Prices are subject to change at any time. For the most up‑to‑date pricing, visit Stytch's official pricing page.
Stytch uses a pay‑as‑you‑go model with a limited amount of free usage and no feature gating. The pricing depends on a series of components:
Note: In November 2024, Stytch simplified pricing, expanded free limits, and removed feature gating. Anyone who’s interested can play around on their pricing site to see how much they would actually pay depending on their specific needs.
Here’s why companies like Stytch implement usage-based billing:
Orb’s 2025 State of AI Agent Pricing report shows most companies blend subscriptions with a usage-based component. Only a minority go “all-usage,” while 92.4% of companies run hybrid models. This trend is more than likely to continue.
Unlimited plans break under heavy inference. Recent reporting shows “inference whales” can rack up five-figure compute costs on fixed subscriptions, forcing vendors to add usage meters, rate limits, or both.
Also, ecosystem pricing is usage-first. Leading AI APIs (OpenAI, Anthropic) price by tokens and calls, so downstream platforms naturally meter to stay margin-safe.
The FinOps community is extending cost governance beyond cloud IaaS into SaaS and licensing. Practices like allocating shared costs make usage-based spending easier to forecast and explain in reports.
Also, engineering + finance can meet in the middle. McKinsey highlights “FinOps as code,” embedding guardrails and budgets into pipelines so teams optimize costs continuously. All these reports clearly explain the trend toward more usage-aligned pricing.
Here’s a quick look at the reasons:
Stytch wanted to launch a new usage-based pricing model for its authentication platform, but the team’s existing billing system couldn’t support the new model.
Manual processes took an entire business day each month to generate invoices, and making any pricing changes required engineering time. Building a new billing system from scratch would have delayed their go-to-market timeline.
In just two weeks, Stytch implemented Orb’s billing platform without diverting engineering resources from core product work.
Orb’s system automated invoicing, ingested granular usage data in real time, and allowed Stytch to update pricing without redeploying code. This flexibility meant Stytch could adjust its pricing model right up until launch day.
Stytch reduced monthly billing time by about 75%, freeing the team to focus on product development and customer experience.
Stytch’s model reflects a wider shift toward usage‑aligned monetization in infrastructure and developer platforms. Pricing software is more efficient when it follows activity, not guesswork.
Teams need billing systems that capture granular events, support plan changes without code, and present clear invoices. That’s the role Orb plays for companies operating usage‑based models.
Note: For more on usage-based billing for AI agents, see Orb’s pricing for AI agents and How to price agents in Orb.
Here's how Orb can bolster your pricing strategy:
The proof is in the results, and product managers atPerplexity and Verceltrust Orb to build and manage their complex pricing structures because they know this.
Explore Orb's flexible plansand find one that fits your business needs.
See how AI companies are removing the friction from invoicing, billing and revenue.