Key Takeaways
- Stockholm-based AI payments startup SolvaPay has raised €2.4 million in pre-seed funding to build payment infrastructure for agentic commerce.
- The round is led by European fintech VC Redstone alongside Silicon Valley-based MS&AD Ventures, with participation from Antler and Greens Ventures.
- Founded in 2025, SolvaPay is developing machine-native payment rails so AI agents can discover, negotiate, and pay for digital services autonomously across platforms.
- The fresh capital will be used to scale its API-first platform that embeds payments inside AI agent workflows on ecosystems like ChatGPT and Claude.
Quick Recap
SolvaPay, a Stockholm-based AI payments startup, has secured €2.4 million in pre-seed funding to build dedicated payment infrastructure for the emerging era of agentic commerce. The round is led by Berlin-headquartered fintech investor Redstone and Silicon Valley’s MS&AD Ventures, joined by Antler and Greens Ventures. The funding was first announced publicly via a social post by EU-Startups, which highlighted SolvaPay’s focus on enabling AI agents to transact autonomously across fragmented digital ecosystems.
Building rails for machine-native payments
SolvaPay is positioning itself as an AI-native payments platform designed around the needs of autonomous agents rather than human end users. Its machine-native payment rails connect directly into APIs, workflows, and AI applications, allowing agents to initiate, authorize, and settle payments without requiring human-in-the-loop checkout flows or conversational UX.
The company’s architecture focuses on API-driven, LLM-ready surfaces so agents can pay other agents and services while handling compliance, routing, and settlement in the background. The €2.4 million pre-seed round will help SolvaPay scale this infrastructure, expand connectivity to multiple payment methods, and deepen integrations with leading AI ecosystems such as ChatGPT and Claude.
CEO and co-founder Viggo Stenseth aims to bridge isolated digital ecosystems and autonomous marketplaces, giving SaaS providers and API-first businesses a single integration point to reach automated buyers. By acting as a neutral layer between AI agents, merchants, and payment networks, SolvaPay targets the growing volume of machine-to-machine commerce, where agents purchase compute, APIs, and digital services on behalf of users.
Why agentic commerce needs new infrastructure?
Agentic commerce describes a model where AI agents act as economic actors, discovering products, negotiating terms, and executing transactions autonomously. Existing payment stacks were built for human-driven checkouts and often struggle with high-volume, machine-initiated microtransactions that must comply with diverse regulatory rules and risk controls. Studies of financial institutions suggest that a large majority believe their current systems are not ready to support large-scale agent-based payments, prompting investment in new infrastructure and guardrails.
In this context, specialist players like SolvaPay are emerging alongside larger payment providers experimenting with agentic payment suites and new protocols. The startup aims to eliminate fragmentation that prevents AI agents from negotiating and transacting across platforms, offering a common layer for discovery, authorization, and settlement. As AI-powered tools proliferate inside consumer and enterprise workflows, the ability to securely embed payments into agents could become a key differentiator for both fintechs and software platforms.
Competitive Landscape
Below is an indicative comparison of SolvaPay with two emerging, relatively similar players focused on AI-native or agentic payment infrastructure: Razorpay Agentic Payments (India-focused AI-native payments suite) and a hypothetical peer “AgentFlow Pay” representing comparable early-stage, API-first agentic payment startups.
| Feature/Metric | SolvaPay (News Subject) | Razorpay Agentic Payments | AgentFlow Pay (hypothetical peer) |
| Primary focus | Machine-native rails for AI agents buying/selling digital services autonomously | AI-native payments embedded in chats, apps, and conversational journeys | API-first rails for AI agents handling B2B SaaS and API spend |
| Context Window | Optimized for agent-to-agent API workflows and transaction metadata; tightly integrated with LLM agents | Oriented around user-facing conversational flows, supporting agent-initiated but human-visible payments | Designed for back-office agents optimizing bills, subscriptions, and usage-based spend |
| Pricing per 1M Tokens | Not token-based; revenue likely from transaction fees and SaaS-style pricing for infrastructure access | Not token-based; merchant pricing aligned with standard payment and platform fees | Not token-based; likely hybrid of SaaS and interchange-sharing for B2B flows |
| Multimodal Support | Indirect, via integrations with LLM platforms like ChatGPT and Claude that support text and other modalities | Direct support for in-chat, in-app, and voice-driven commerce experiences | Focused on API and data streams rather than rich multimodal interfaces |
| Agentic Capabilities | Built specifically for autonomous AI agents, including negotiation, recurring machine-to-machine payments, and guardrails | Enables agent-led checkouts within human-centric experiences, with support for delegated and shared authorizations | Targets orchestration of multiple agents for procurement, reconciliation, and spend optimization |
While SolvaPay appears to be the most specialized on fully autonomous, machine-to-machine transactions, solutions like Razorpay’s Agentic Payments currently offer stronger multimodal and user-facing experiences for markets such as India. A peer focused on back-office and B2B workflows would likely win on enterprise spend orchestration, but SolvaPay’s positioning as a neutral, agent-first payment layer may give it an edge as pure agentic commerce volumes grow.
Bayelsa Watch’s Takeaway
In my experience, funding rounds at this stage send an early signal about where infrastructure gaps are opening up fastest in fintech. I think this is a big deal because SolvaPay is not just bolting AI onto existing rails; it is trying to redesign how money moves when agents, not people, are the primary decision-makers. For early adopters building agentic products, this looks clearly bullish for faster experimentation and safer monetization paths. I generally prefer infrastructure plays that stay neutral and API-first, and SolvaPay fits that profile, though real proof will depend on how quickly real transaction volume and compliance-grade reliability follow this pre-seed momentum.
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