Clocknext
Clocknext is building billing and monetization infrastructure native to the agentic economy. It meters AI usage in real time, turns signals into billable metrics using flexible pricing plans, and gives AI companies visibility into provider costs, margins, revenue, invoices, and customer profitability.
At a Glance
- AI-native application and AI-agent companies
- AI founders
- Product, engineering, finance, and revenue teams building or selling AI products
- Companies with usage-based, credit-based, outcome-based, or hybrid pricing
AI Tools by Clocknext
(1)
Clocknext
AI Usage Billing Platform
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Latest News
Clocknext launched on Product Hunt as pricing and billing infrastructure for AI agents; the launch included a 60% annual-plan offer for Product Hunt signups.
Published “Tracking provider cost across models, tools, and agents,” describing signal fields for attributing cost to customers, requests, agents, models, and tools.
Published “The real cost of building AI billing in-house,” positioning Clocknext as the billing machinery for AI companies that need flexible pricing and less billing-code maintenance.
Published “Is your pricing holding back product-market fit?”, covering early pricing tests and AI product economics.
Products & Services
Cloud platform for AI-native applications that receives a signal for each tracked AI request, prices it against a customer plan, applies entitlements, updates balances, generates invoices, reconciles payments, and reports revenue, provider cost, and margin.
Prepaid or postpaid credit metering backed by customer wallets; supports one-time or recurring grants, auto top-up, blocking or invoicing overage, margins per credit, and customer self-service top-ups.
Dashboard-based plan composition and versioning for wallets, credits, outcomes, and units, allowing pricing changes to be published without a code deploy and preserving plan history.
Clocknext guide for founders and product, finance, and engineering leads covering AI-agent economics, margin leakage, pricing units, hybrid plans, cost attribution, and repricing.
Market Position
Clocknext positions itself as billing infrastructure purpose-built for AI-native products and agentic workflows, rather than a conventional seat- or subscription-first billing tool. It competes with general billing providers such as Stripe, Chargebee, and Zuora, while differentiating through signal-level metering, credits and wallets, outcome and composite pricing, provider-cost attribution, and margin analytics per customer, agent, and model.
Leadership
Founders
Vijayanand Kailash
Founder and CEO. He spent more than 16 years in technology across Zoho, MediBuddy, and his own startups; at MediBuddy he was head of AI transformation and worked with AI companies on pricing strategy.
Executive Team
Vijayanand Kailash
Founder and CEO
Technology executive and entrepreneur with experience at Zoho, MediBuddy, and his own startups; previously led AI transformation work at MediBuddy.
Manish Balaji
Head of Marketing
Marketing leader with more than 11 years in technology, responsible for Clocknext's marketing and its pricing and billing content.
Founding Story
Vijayanand Kailash started Clocknext after repeatedly meeting AI companies at MediBuddy and hearing that they were still figuring out how to charge. He concluded that AI had changed the economics beneath pricing: customer usage, model calls, retrieval, tools, and provider costs vary substantially, so companies need billing infrastructure—not just a pricing decision—to support metering, rating, wallets, invoices, and live cost and margin visibility.
Business Model
Revenue Model
SaaS subscription priced by the customer's annual billed revenue, with a free tier and paid monthly plans; Clocknext also offers a custom plan for unique billing needs with no revenue cap.
Pricing Tiers
Up to $100,000 billed revenue per year; every pricing model, margin per customer, unlimited invoicing, and unlimited products and plans.
Up to $250,000 billed revenue per year; includes every pricing model, margin per customer, unlimited invoicing, unlimited products and plans, and 1:1 Slack support.
Up to $500,000 billed revenue per year; includes the complete product experience and 1:1 Slack support.
Up to $1 million billed revenue per year; adds priority onboarding to the paid-plan features.
For unique billing needs; includes Premium features, five-year data retention, SSO and SAML, and a dedicated solutions engineer.
Target Markets
- AI-native application and AI-agent companies
- AI founders
- Product, engineering, finance, and revenue teams building or selling AI products
- Companies with usage-based, credit-based, outcome-based, or hybrid pricing
- Billing AI agents and AI-native applications whose cost varies by request
- Metering multi-model and multi-tool agent workflows
- Credit- and wallet-based prepaid products
- Outcome-based pricing for completed AI work
- Hybrid plans combining seats or units with usage overage
- Tracking provider cost and margin by customer, agent, model, or feature
- Boomerang
- Facilio
- Superb AI
- Strivelabs