AI Moves from Consumer Apps to Core Payment Infrastructure
Artificial intelligence is rapidly shifting from front-end consumer experiences to the backbone of financial operations. Instead of just powering chatbots or recommendation engines, AI is increasingly embedded in the plumbing of commerce: payment processing, billing, metering, and revenue recognition. This shift is spawning a new class of AI payment infrastructure and automated billing software designed to handle the complexity and scale of modern digital businesses. Merchants and software providers now need real-time data, flexible pricing models, and intelligent decisioning that legacy systems cannot deliver. As a result, startups focused on payment automation platforms and AI-native billing stacks are attracting growing investor interest. Their tools promise not just incremental efficiencies, but fully automated financial workflows that can experiment, optimize, and scale without constant human intervention, signaling a structural transition in how fintech infrastructure is built and financed.
Primer’s USD 100 Million (approx. RM460 Million) Series C Signals a New Payments Architecture
Primer’s recent USD 100 million (approx. RM460 million) Series C funding round underscores how strategic AI has become to payment infrastructure. The company operates a unified payments layer that sits across the entire transaction lifecycle, from checkout to payout, capturing more than 400 data points per transaction and typically managing over 95% of a merchant’s payment volume. This unified, contextual data layer is the foundation for its AI agent, Primer Companion, which is evolving from an insights tool into an autonomous decision-maker within merchant-defined boundaries. By consolidating fragmented processors, acquirers, and fraud tools into a single system, Primer aims to ensure that every payment decision initiated or audited by AI rests on complete information. The fresh capital is earmarked for scaling this AI operating layer and significantly expanding its presence in the US market over the next few years.
Flexprice Raises USD 1.5 Million (approx. RM6.9 Million) to Automate AI-Native Billing
While Primer focuses on transaction routing and optimization, Flexprice is tackling one of the hardest financial layers: billing. The startup has secured USD 1.5 million (approx. RM6.9 million) in seed funding to build AI billing infrastructure for AI-native and API-first enterprises. Its platform processes over 20 billion events each month, supporting usage-based models tied to token consumption, API calls, GPU utilisation, and other compute workloads. Flexprice’s automated billing software supports pay-as-you-go, prepaid credits, volume-based pricing, seat-based subscriptions, and hybrid structures, integrating with payment providers such as Stripe, Adyen, and Razorpay. The company’s ambition extends beyond billing to full revenue automation—spanning metering, revenue recognition, and financial reporting. With plans to accelerate expansion across the US and Europe, Flexprice is positioning itself as a core payment automation platform for AI companies needing real-time, highly flexible monetisation infrastructure.
Investor Confidence in AI-First Fintech Infrastructure
The size and momentum of these fintech funding rounds highlight growing investor conviction that AI-first infrastructure is the next major wave in financial technology. Primer’s large Series C and Flexprice’s seed round target different layers of the stack, but both are building platforms that embed AI directly into payments and billing workflows. Instead of treating AI as an add-on, they design systems where every transaction, event, and revenue decision can be initiated or optimised by intelligent agents. This approach addresses long-standing pain points—fragmented data, rigid billing systems, and manual financial operations—while enabling global expansion through scalable, cloud-native architectures. As more merchants, software companies, and AI providers adopt these platforms, the competitive frontier in fintech is likely to shift from simply enabling digital payments to delivering fully automated, end-to-end financial operations driven by AI payment infrastructure.