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Comparison · Mkt Auto

Zoho Forms vs Gumloop

Side-by-side trajectory, velocity, and editorial themes.

Z
Zoho Forms
MKT AUTO
0.0

Zoho Forms has been silent for over a year — AI-generated forms remain the freshest directional move.

◆ Current state

Zoho Forms' public blog last shipped content in February 2025, a 15-month gap. The Q1 2025 batch covered form-availability scheduling, mobile image-upload enhancements, and a PDF-to-form converter. Just before the gap, the team launched AI-generated forms and OTP verification.

◆ Where it's heading

Visible direction through early 2025 was incremental builder polish plus a meaningful AI bet on form generation. Since then, no public updates — the product appears to be either in maintenance mode within the broader Zoho suite or shipping without communicating. Without fresh signal it's hard to read intent from the surrounding suite alone.

◆ Prediction

If output resumes, the AI Forms surface is the natural extension point — generation today, smarter validation, prefill, and post-submission triage next. If the silence continues, treat Zoho Forms as a stable suite component rather than an actively differentiated product.

G
Gumloop
MKT AUTO
7.5

Gumloop turns into an MCP control plane: host, proxy, gate, and audit every agent-to-app call.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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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