Inspiration

As AI agents gain the ability to book travel, order supplies, and manage purchases autonomously, we’re approaching a critical juncture:

AI can now initiate transactions—but has no built-in guardrails to do so safely.

Today’s payment infrastructure was built for humans and websites—not autonomous systems. Continuous credit cards expose users to fraud, hallucinated transactions, and invisible overspending. We built Laminar to solve that.

Just like Stripe enabled internet payments, Laminar is the payment backbone for AI agents—enabling secure, verified, policy-driven transactions that give users control without blocking automation.

What it does

Laminar is a secure, programmable payments API purpose-built for AI agents. With Laminar, agents don’t get unrestricted access to a card. They go through a smart, layered verification pipeline:

Generates one-time-use virtual cards tied to a specific purchase request
Enforces user-defined rules (e.g., "only approve if under $200 within 50 miles")
Blocks and routes purchases for manual approval if rules aren't met
Verifies purchase metadata to catch hallucinations or spoofed requests
Audits and logs every transaction for traceability and compliance

Our demo shows an AI travel agent using Laminar to book a hotel—with approvals enforced by the API, not the app.

Why AI Agents Can’t Oversee Their Own Purchases

AI agents are capable of initiating purchases—but they can’t be trusted to approve or validate those purchases themselves.

Even the smartest agents can:

Hallucinate product details or vendors
Misinterpret user intent
Fail to recognize fraud or spoofed listings
Be exploited by prompt injection or logic corruption

Letting an AI oversee its own spending is like letting someone grade their own test—there’s no independent accountability.

Laminar: The First AI Credit Card Company

Laminar is the first-ever credit card infrastructure designed for AI agents. Our API is the third-party verification layer between AI agents and your wallet.

Every request is checked by programmable rules or user review
Upon approval, a scoped, one-time-use virtual card is issued
The agent can only use that card, for that specific transaction
Everything is logged and verifiable

No matter how advanced the agent is, it still needs a trusted middle layer. Laminar makes sure AI doesn’t spend a single dollar unless it’s been verified and approved.

How we built it

Frontend: SwiftUI travel app as the AI agent interface
Backend: Python flask web service simulating agent logic and expense requests
Core API: Laminar service built with Python flask, integrated with mock virtual card issuer and approval flows
Security Layer: Purchase intent matching using product metadata and constraint validation
Custom Rules Engine: Dynamic auto-approval evaluation and fallback manual approval UI

All purchases are locked to single-use credentials, and every call is policy-bound.

Challenges we ran into

Designing a secure payment flow that feels natural for agents, but is still auditable and enforceable for humans
Building real-time dynamic rule enforcement and decision logic that integrates with a virtual card system
Creating a reliable fallback path that doesn’t block agents, but requires explicit user consent

Accomplishments that we're proud of

Built a full-stack AI payments pipeline with granular security in under 48 hours
Created a secure layer that prevents AI from executing any transaction without checks
Developed a polished demo where an AI travel bot seamlessly interacts with Laminar—showcasing real-world application of our API
Designed a universal framework that can be extended to procurement, e-commerce, and financial automation bots

What we learned

AI agents are powerful—but without financial guardrails, they're liabilities
Verifying intent and enforcing spend policies is just as important as executing payments
The future of commerce isn’t just about automation—it’s about trustable automation
A new class of infrastructure is needed—not for users, but for agents