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Sapiom Aims to Simplify Backend Infrastructure for AI Agents

Sapiom, founded by former Shopify payments director Ilan Zerbib, offers a seamless backend layer that lets AI agents connect to services like Twilio and Stripe without manual authentication, backed by a $15M seed round from top VCs.
5 February 2026 by
TechStora Editorial Board

The Challenge of Connecting AI Agents to External Services

Prompt‑to‑code tools can generate impressive prototypes, but moving those prototypes into production often stalls when developers must manually integrate external tech services—SMS gateways, email APIs, payment processors, and more. Each integration typically requires authentication credentials, credit‑card information, and a micro‑payment model, creating a steep operational hurdle for non‑technical creators.

Sapiom’s Solution

Founded by Ilan Zerbib, former Shopify director of engineering for payments, Sapiom builds a financial‑layer infrastructure that abstracts the backend complexities. The platform automatically handles authentication, billing, and API key management, allowing AI agents to decide when and what to purchase on behalf of the end user.

  • Zero‑touch integration with services such as Twilio, SendGrid, and Stripe.
  • Pass‑through fee model—micro‑apps are charged only for the external service usage.
  • Seamless experience for “vibe‑coding” platforms (e.g., Lovable, Bolt) that generate micro‑apps without developer intervention.

Funding and Market Outlook

Sapiom closed a $15 million seed round led by Accel, with participation from Okta Ventures, Array Ventures, Menlo Ventures, Anthropic, and Coinbase Ventures. Investors see the company’s focus on the enterprise financial layer—not consumer‑facing payments—as a critical missing piece for scaling AI‑driven automation.

Implications for Vibe‑Coding Platforms

When a developer builds a micro‑app with SMS capability, they no longer need to sign up for Twilio, add a credit card, or embed API keys. Sapiom runs those steps in the background, billing the app creator only for actual usage. This model could accelerate the adoption of AI‑generated applications across startups and large enterprises alike.