Company intelligence
Paragon
Ship every integration your customers need with Paragon's integration infrastructure for AI and B2B software products.
About Paragon
Paragon is the leading integration infrastructure platform for AI. Companies like Zendesk, Postman, and Five9 use Paragon to power integrations for agent tool calling, RAG ingestion, and more. With 130+ pre-built connectors, fully-managed authentication, and embedded SDK / APIs designed for native product integrations, Paragon helps developers scale integrations 10x faster than building in-house.
Verified activity
Signals from Paragon
8 published signals
Research & Knowledge
Paragon surveyed 600 B2B SaaS leaders this year, finding that 81% are now shipping or building AI agents that act through integrations.
Reported by Brandon Foo
Research & Knowledge
Paragon published the full 2026 State of Agentic Integrations report, consisting of all 600 responses from B2B SaaS leaders.
Reported by Brandon Foo
Research & Knowledge
Paragon surveyed 600 B2B SaaS leaders and found that two-thirds have lost or delayed an enterprise deal over integration security.
Reported by Brandon Foo
Research & Knowledge
Paragon published a study titled SilentProbe, from Li, Ye, Guo and Dang, which isolated how the tool's constraints were written and how the model's constraints in the schema returned honest errors 111 out of 111 times when the constraint was machine-checkable.
Reported by Brandon Foo
Research & Knowledge
Paragon conducted tool-calling evaluations earlier this year measuring description quality, which is a related lever but a different one.
Reported by Brandon Foo
Research & Knowledge
Paragon pulled together 600 B2B SaaS leaders for the 2026 State of Agentic Integrations report.
Reported by Brandon Foo
Research & Knowledge
Paragon surveyed 600 B2B SaaS leaders to find that 93% of agents need three or more integrations before delivering any value.
Reported by Brandon Foo
Research & Knowledge
Paragon published a new writeup on Sierra's internal MCP gateway that highlights the importance of designing the interface around the model's behavior rather than the protocol.
Reported by Brandon Foo