$1.5 Million Seed Fuels Open-Source Billing for AI’s Token and GPU Economy

For AI companies, the simple monthly subscription has become a relic. Charging customers for token usage, GPU time, or API requests demands a financial backbone far more complex than a flat recurring invoice.

This shift has turned billing into a strategic headache for startups racing to deploy generative AI. The tools that managed predictable SaaS revenue now strain under the weight of real-time, usage-based pricing models where consumption can spike overnight.

Flexprice, an open-source billing infrastructure startup, just landed $1.5 million in seed funding to tackle exactly that challenge. Shastra VC led the round, with additional backing from Sandeep Mittal and TDV Partners. The fresh capital will fuel expansion into US and European markets while the company builds out finance infrastructure tailored for AI: metering, revenue recognition, and financial reporting.

Founded in 2024, Flexprice targets AI-native and API-first businesses that bill customers by actual consumption rather than fixed tiers. Its platform handles pricing models tied to token volume, API calls, GPU workloads, and other compute-heavy operations where legacy billing software routinely breaks down. The startup reports processing more than 20 billion events each month while supporting enterprise-scale AI operations. Revenue surged 6X last quarter, and event volume has climbed 20-fold over the past year.

The team operates across New Delhi, Bengaluru, and San Francisco, led by co-founder and CEO Manish Choudhary, co-founder and COO Koshima Satija, and co-founder and CTO Nikhil Mishra.

For years, software companies lived comfortably inside the predictable economics of per-seat subscriptions. AI products shattered that comfort. A customer might barely register token usage one month and then trigger enormous GPU workloads the next. Others want prepaid credits or hybrid arrangements mixing seats with metered usage. That volatility creates a financial engineering problem just as urgent as the product roadmap.

Flexprice supports the full spectrum: pay-as-you-go, prepaid credits, volume-based pricing, seat subscriptions, and blended structures. Its infrastructure runs on Go, ClickHouse, and Kafka, allowing high-throughput metering and event-driven billing pipelines. Payment integrations include Stripe, Adyen, and Razorpay. The core promise: track usage in real time, convert that activity into accurate charges, and feed the results straight into revenue workflows.

The company frames billing as anything but a back-office chore. Speaking about the opportunity, CEO Manish Choudhary emphasized that billing becomes acutely consequential the moment it fails. The broader ambition, he noted, involves full revenue automation: giving AI companies infrastructure to experiment, iterate, and scale how they make money without being shackled by systems built for a different era.

That positioning matters enormously right now. AI pricing models remain a moving target. Teams are testing token-based plans, compute-linked billing, outcome-based pricing, and hybrid subscription-usage combinations. When the billing system cannot keep pace with the business model, companies lose time, revenue accuracy, and customer confidence. Flexprice aims to sit precisely at that intersection: product usage on one side, payment systems and financial reporting on the other.

Shastra VC managing partner Avijeet Alagathi pointed to the growing strain that traditional billing systems place on AI companies wrestling with complex, evolving pricing structures. The investment signals wider recognition that monetization infrastructure represents a critical layer beneath the application hype.

Moving forward, Flexprice will deepen its product stack beyond core billing into metering, revenue recognition, and financial reporting workflows built for AI workloads. The geographic focus narrows onto the US and Europe, two markets where software firms aggressively rewrite their pricing playbooks. For a sector sprinting away from flat subscriptions toward usage-linked monetization, the pipes that handle money may quietly determine which companies scale and which stumble.