Orthogonal Raises $4.3M Seed to Build the Infrastructure Layer for AI Agents

San Francisco-based Orthogonal has raised $4.3M in seed funding led by Pantera Capital, with participation from Y Combinator, Pioneer Fund, Decasonic, Outbound Capital, and other investors. Orthogonal is building a unified API access and payment layer that allows AI agents and developers to discover, access, and pay for digital services through a single integration.

Founded by Christian Pickett, Co-Founder & CEO, and Bera Sogut, Co-Founder & CTO, Orthogonal emerged from Y Combinator Winter 2026 after the pair left roles at Coinbase, Vercel, and Google to build infrastructure for an internet increasingly populated by software rather than humans.

The funding, announced in June 2026, reflects growing investor conviction that the next wave of AI value creation may come from infrastructure rather than models. As AI agents become active participants in commerce, research, recruiting, and software workflows, the systems that manage access, payments, authentication, and service discovery become increasingly important.

What Happened

Orthogonal announced a $4.3M seed round led by Pantera Capital, one of the most established investors in digital asset and infrastructure ecosystems. The company is building a unified API and payment layer that enables developers and AI agents to access multiple API providers through a single endpoint and billing relationship.

The startup was founded in late 2025 after Christian Pickett and Bera Sogut left engineering roles at Coinbase, Vercel, and Google to pursue a problem they believed existing infrastructure was not designed to solve. Christian Pickett worked on global payment rails at Coinbase before helping build billing systems at Vercel, while Bera Sogut spent years building API-related products at Google, including Maps APIs and reCAPTCHA Mobile. Together, they recognized a growing disconnect: AI agents are becoming software users, but the internet still expects users to be human. That disconnect creates friction across authentication, payments, onboarding, usage management, and service access.

Why This Matters

The AI industry has spent the last several years focused on intelligence. Models became larger, benchmarks became higher, and context windows expanded. Meanwhile, another challenge quietly emerged underneath the excitement.

An AI agent might be capable of researching a company, enriching a lead, generating outreach, booking a meeting, and updating a CRM, yet completing those tasks often requires navigating dozens of APIs, authentication systems, billing relationships, vendor contracts, and usage restrictions. Intelligence is only part of the equation. Execution requires infrastructure.

Orthogonal addresses that challenge by allowing developers and AI agents to access more than 37 API providers through a single integration while managing authentication, billing, routing, retries, and usage management behind the scenes. The result is less operational complexity and faster deployment for developers building agent-driven products.

Market Context

The broader market is moving toward agentic software. Developers increasingly expect AI systems to perform actions rather than simply generate responses, while enterprise buyers are exploring autonomous workflows across sales, recruiting, operations, customer support, and research.

That shift creates a new infrastructure requirement. Traditional APIs were designed around human operators creating accounts, entering payment information, managing credentials, and monitoring usage. AI agents require programmatic access, machine-readable pricing, automated billing, and seamless service discovery.

Orthogonal sits directly at that intersection. The platform includes API discovery, unified billing, pay-per-call economics, and support for Model Context Protocol (MCP), a standard that enables AI systems to connect with external tools and services. As the AI ecosystem expands, infrastructure layers that simplify these interactions become increasingly valuable.

Competitive Landscape

Orthogonal is not competing directly with foundation model companies. Instead, it is positioning itself within the infrastructure layer that connects AI agents with external services, data providers, and commercial transactions.

Technology ecosystems tend to reward companies that reduce friction between participants. As AI agents become larger consumers of APIs, platforms that simplify discovery, authentication, payments, and access could become critical components of the emerging AI stack.

Orthogonal combines API aggregation with payment orchestration, creating a unified experience for developers while reducing operational overhead.

What This Signals

The Orthogonal funding round signals a broader shift in venture capital priorities. Investors are increasingly looking beyond model development and toward the infrastructure required to support an agent-driven economy.

That infrastructure includes payments, identity, access management, orchestration, and service connectivity. Some of the largest opportunities emerging from AI may not come from making models smarter, but from making intelligent systems economically useful and operationally scalable.

The market is gradually moving from asking what AI can think to asking what AI can do. Those are fundamentally different questions, and they require fundamentally different infrastructure.

The Bigger Industry Shift

The internet was built around people. AI agents are forcing the industry to consider what happens when software becomes the customer. That transition touches every layer of the stack, from authentication and payments to data access and service discovery.

Orthogonal is building infrastructure around that assumption. Supporting the effort are Sanjay Marathe, Software Engineer Intern, and Jerry Du, Growth, while the company continues to expand following participation in the Y Combinator ecosystem under the guidance of Tyler Bosmeny, General Partner at Y Combinator.

Whether Orthogonal ultimately becomes a major platform or one of several important infrastructure providers, the underlying market signal is clear: agentic software is creating entirely new categories of infrastructure demand, and investors are beginning to position themselves accordingly. The companies building those rails may end up shaping how AI participates in the digital economy long after today's model rankings fade from memory.