Gumloop Review & Pricing (2026)

What is Gumloop?

Build and run AI agents across your team’s tools. Gumloop is an AI-agents platform for teams that want to automate work across sales, support, marketing, and ops.

Full review

Gumloop is an AI-agents platform for teams that want to automate work across sales, support, marketing, and ops. It lets you build agents that connect to tools like Slack, Gmail, Salesforce, HubSpot, BigQuery, and more, then run them in the background or inside chat apps. The product is aimed at teams that already live in a messy stack and need agents to act on data, tickets, leads, and meetings without hand-holding. What stands out on the site is the mix of pre-built agents and a visual canvas for multi-agent workflows. You can start with packaged agents such as meeting prep, CRM, support, or data analysis, then connect them to your own systems and schedule recurring runs. That makes it less about one-off prompts and more about repeatable business processes. It also leans into enterprise controls. Gumloop highlights role-based access, usage monitoring, audit logging, SSO, VPC deployment, AI model restrictions, and

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Who it's for

Best for

Sales teams
RevOps
marketing operations
support teams
data/ops teams
enterprise buyers
AI operations teams

At a glance

Free plan	No
Free trial	No
Platforms	Web app
API	No
Apps Insight Score	24/100

Why this app scored 24/100

Editorial Review 17/30

Product quality 7/10 7/10
Ease of use 4/5 4/5
Feature depth 1/5 1/5
Innovation 3/5 3/5
Value for money 1/3 1/3
Recommendation confidence 1/2 1/2

Trust & Verification 1/25

AppsInsight badge installed Badge not installed 0/15
HTTPS website HTTPS 1/1
Business support email Missing 0/1
Privacy policy published Missing 0/2
Terms of service published Missing 0/1
Security certifications None listed 0/2
Knowledge base / help center Missing 0/2
Social profiles linked 0 profiles linked 0/1

Community 0/20

Verified reviews & rating 0 reviews (5 needed) 0/15
Recent reviews No reviews yet 0/5

Product Profile 5/20

Detailed description 173 words 1/3
Screenshots 1 screenshot 1/3
Demo video No demo video 0/2
FAQ 5 items 1/2
Feature list 8 items 1/2
Pricing published No pricing published 0/3
Pros & cons Pros & cons listed 1/1
Integrations 0 integrations 0/2
API available No 0/1
Company details 0 of 3 details filled 0/1

Freshness 1/5

Listing recently updated Updated 61 days ago 1/3
Recent changelog entry No changelog entries 0/2

Editorial points are assigned by AppsInsight editors and cannot be purchased or influenced.

How Gumloop compares

Feature	Gumloop	OpenClaw	Decagon	Cursor
Rating	3.0 / 5	5.0 / 5	5.0 / 5	5.0 / 5
Pricing	—	—	—	—
Starting price	—	—	—	—
Free plan	No	No	No	No
Free trial	No	No	No	No
Platforms	Web app	macOS, Windows, Linux	Web app	Web app
Best for	Sales teams, RevOps, marketing operations, support teams, data/ops teams, enterprise buyers, AI operations teams	Developers, solo founders, technical operators, AI enthusiasts, marketing agencies, SMB teams, support teams, internal ops teams	Enterprise SaaS teams, CX operations leaders, customer support automation teams, product-led companies, ops-heavy support organizations	Software engineers, SaaS product teams, ecommerce development teams, engineering managers, teams that use Slack and GitHub, developers who want agentic coding help

Gumloop vs OpenClaw Gumloop vs Decagon Gumloop vs Cursor

Key features

Pre-Built AI Agents

Start with ready-made agents for meeting prep, CRM work, support triage, data analysis, and more.

Multi-Agent Workflow Canvas

Use a canvas to chain agents together and orchestrate more than one step in a business process.

Background Scheduling

Run recurring jobs on a schedule so agents keep working without a rep or operator starting them each time.

Team Chat Access

Tag the agent in Slack, Teams, Gmail, or WhatsApp-style workflows so people can use it where they already work.

Model Choice

Pick from models from OpenAI, Anthropic, Google, and others, with no API keys required in the product flow shown on the site.

Enterprise Security Controls

Use RBAC, SSO, audit logs, usage monitoring, VPC deployment, and model restrictions for governed deployments.

MCP Server Connectivity

Connect to 100+ MCP servers and external tools so agents can act on live company systems.

Gumstack AI Gateway

Add a security and logging layer for AI chats and clients, with centralized access controls and traceability.

Key benefits

Cut manual routing and follow-up work by having agents handle repetitive steps in sales, support, and ops flows.
Give reps and analysts quicker access to context, so meetings and pipeline reviews start with the relevant data already assembled.
Keep automation running after hours with scheduled agents instead of depending on someone to kick off every run.
Reduce security reviews later by using controls for access, spending, logging, and model restrictions from the start.
Bring more work into one system instead of stitching together ad hoc prompts, spreadsheets, and one-off scripts.

Pros & Cons

Pros

No free plan or trial is listed in the fact sheet, so the product is positioned for serious evaluation rather than casual sign-up.
The site shows a broad integration surface, including Slack, Gmail, Salesforce, HubSpot, BigQuery, Gong, and 100+ MCP servers.
Gumloop offers enterprise controls such as RBAC, SSO, audit logging, usage monitoring, AI model restrictions, and VPC deployment.
The homepage and use-case pages show pre-built agents for data, CRM, support, meeting prep, and marketing, which reduces setup time.
The product emphasizes running agents in the background on schedules, which is useful for recurring workflows and monitoring tasks.

Cons

The fact sheet does not list pricing, starting price, or plan tiers, so buyers will need to talk to sales for cost details.
There is no free plan and no free trial shown in the fact sheet, which raises the entry bar for smaller teams.
The fact sheet lists no integrations, so any claimed connector set should be validated during sales or onboarding.
The homepage suggests a lot of configuration depth, which may mean a learning curve for teams without automation experience.