Albato

Albato is an embedded iPaaS for SaaS companies that want native integrations and customer-facing AI agents inside their own product. You embed through three paths: a white-label iFrame of the ready-made integration builder, a headless API, or a Universal MCP. The pitch is straightforward — your users connect their CRM, marketing, sales, and support tools without ever leaving your interface, and your engineers integrate once instead of maintaining OAuth scopes and connector updates forever. The stack has three sellable layers. Connectors give you 1,000+ pre-built apps and 20,000+ actions across GTM, CRM, HR, marketing, accounting, and productivity, plus custom apps built on demand. Agents are white-label, customer-facing automations tied to those connectors, with per-tenant OAuth, scopes, and data isolation. The Copilot is a conversational builder: a user describes what they want automated in any language and it handles apps, triggers, field mapping, and workflow setup behind the scenes. For AI teams, the Universal MCP is the interesting piece. It exposes all 1,000+ connectors as functions to an existing model through one protocol, so you skip writing connectors or OAuth code yourself. Albato advertises hot-swappable LLMs — move from ChatGPT to Claude or Gemini in one click — plus tool-level observability: every MCP call, retry, and error tracked in a dashboard, with guardrails and tool limits per tenant. Albato publishes its own build-vs-buy math: roughly 4-7 months and $200K+ in first-year engineering to ship a handful of integrations in-house, versus 30-45 days from $5,000/mo with the Embedded plan. Compliance includes SOC 2 Type 2, GDPR, AES-256 at rest, TLS 1.2/1.3 in transit, and a 99.9% uptime SLA. Against Workato, Prismatic, Paragon, and Tray.ai, Albato leans on connector breadth plus the MCP layer, and it still sells self-serve plans from $0 for teams that just want plain automation.