Executive Summary

Enterprises and developer teams are now coping with insecure, point-to-point integrations between AI agents and business apps that create audit, identity, and data-exposure risks, plus operational sprawl that security and platform teams must untangle. This pain is especially acute for platform/automation teams and compliance-driven organizations that need consistent controls across tens or hundreds of internal and SaaS systems. You could build an API-first, developer-focused integration layer that brokers agent-to-app calls with built-in RBAC, secrets management, observability, an SDK for agents, and a managed connector catalog—essentially a policy-enforced runtime that standardizes tool use and produces auditable logs. The product should expose runtime hooks for policy engines and SIEMs so teams can test locally and operate at production scale. The market is compelling right now: an $18.0B TAM (1.5M businesses × $12K ACV) with strong trend signals as AI agents move from experiments to production and enterprises consolidate integrations, reflected in a 90/100 market score and 86/100 revenue potential. Focused developer-first distribution to platform teams can accelerate adoption. You can differentiate by being explicitly built for agent workflows rather than a generic iPaaS—offering SDKs, agent-native primitives, and enterprise-grade audit and policy controls out of the box. Expect real challenges around earning trust (security certifications, secrets handling), competing with incumbents, and building a connector ecosystem, so start narrow on high-value connectors and compliance features.

Market Opportunity

Connect AI agents to apps with a secure, unified integration layer targets a $18.0B = 1.5M businesses × $12K ACV total addressable market with medium saturation and a year-over-year growth rate of 35% YoY — based on combined iPaaS, workflow automation and AI-agent adoption trends (Gartner/Forrester estimates and market signals).

Key trends driving demand: AI agents and tool use are moving from experiments to production, creating demand for standardized integration runtimes that can be audited and secured.; Enterprises are consolidating integration and identity controls after a wave of point-to-point API sprawl, which favors a managed integration layer.; Developer-first products and SDKs win adoption faster among platform and automation teams, creating an opening for an API-first agent integration product..

Key competitors include Zapier, n8n, LangChain (ecosystem), Airplane.

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Connect AI agents to apps with a secure, unified integration layer

Executive Summary

Market Validation

Market Opportunity

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