Vero vs Gumloop
Side-by-side trajectory, velocity, and editorial themes.
Vero 2.0 is closing the parity gap with branching logic and SMS in Journeys.
Vero is filling out the 2.0 product surface as it transitions customers off 1.0: True/False and Exit nodes added real branching to Journeys for the first time, SMS landed as a multi-channel option, and CC support is rolling out (1.0 first, 2.0 soon). Naming was tightened so single-shot campaigns are now Broadcasts and ongoing automations are Journeys. Releases are typically published twice across feeds.
The work is unmistakably parity-driven: each release closes a gap between Vero 1.0 and the 2.0 platform that customers will eventually be migrated onto. Branching logic was a notable hole in 2.0 Journeys — that it was missing until March 2026 says something about the rebuild's pace. SMS introduces real multi-channel ambitions, but the platform is still on the road to feature-complete rather than expanding into new categories.
Expect the 2.0 migration to formalize as a deprecation timeline once CC and a few other 1.0-only features land in 2.0. The next directional move worth watching is whether Vero introduces AI-assisted journey building, since competitors like Customer.io and Iterable are now leaning into that space.
Gumloop turns into an MCP control plane: host, proxy, gate, and audit every agent-to-app call.
The headline move is MCP Hosting, Proxying, App Rules & Activity — customers can host their own MCP servers, proxy external ones, set policy-driven app rules, and watch the resulting activity, with Enterprise data drains to S3 or BigQuery as the audit substrate. Around it, the weekly cadence is dense: incognito mode for agent chats, Shared With Me and Organization views for collaboration, per-app account selection, a partner program for referrals, and Gmail triggers extended to any label.
Gumloop is repositioning from an AI-workflow builder into an enterprise MCP runtime — hosting, governance, and observability on top of the agent layer. Each recent release reinforces that thesis: credential pinning per MCP tool, plain-English app policies, audit-log filters, SCIM team/role sync. The bet is that the bottleneck for agent adoption is not capability but control.
Expect Enterprise data drains to extend to common SIEM destinations (Splunk, Datadog) and the App Policies surface to add policy-as-code authoring alongside the plain-English mode.
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