Coworker vs Gumloop

Why teams choose Coworker over Gumloop

Gumloop is an AI agent platform: teams build agents in chat with 400+ connectors, triggers, and a shared Company Brain. Coworker starts from organizational memory: OM2 maps your people, accounts, and decisions so agents reason about complex work, learn your team's patterns, and act proactively in the background.

Last updated

Agents
Post-Meeting Actions AgentSales
Handle post-meeting follow-ups
Pipeline Hygiene AgentSales
Audit stale deals and next steps
Renewals AgentCS
Flag at-risk Q2 renewals
Contract Review AgentLegal
Flag non-standard clauses
Bug Triage AgentEng
Triage, dedupe, and assign bugs
Infosec Response AgentIT
Answer security questionnaires
Post-Meeting Actions Agent

3 tool requests

#1

Meeting transcript

Extracted 4 action items from Acme call

#2

Salesforce update

Stage → Discovery Complete, notes added

#3

Follow-up draft

Recap email with POC timeline composed

Reasoning steps

Meeting transcript
Salesforce update
Follow-up draft
Why Coworker

What makes Coworker different

OM2 knowledge graph vs. Company Brain

Coworker

OM2 pre-synthesizes your organizational context continuously, people, accounts, decisions, and history. Agents don't just execute predefined steps; they reason about what needs to happen based on real organizational context.

Gumloop

Gumloop agents draw on a Company Brain: every connected tool feeds a centralized, always up-to-date knowledge base that agents and people can use. Context comes from the tools you connect and the skills you give each agent.

Feature Comparison

Side by side

Capability
Coworker
Gumloop
AI Capabilities
Core approach
Organizational intelligence + reasoning agents
AI agent platform with skills, triggers, and 400+ connectors
Organizational memory
OM2 knowledge graph, 120+ dimensions
Company Brain built from connected tools
Agent setup
Natural language; anyone can deploy agents
Built in chat by the people who know the task
Edge case handling
Agents reason through nuance and adapt automatically
Agents reason with skills; runs scored against your rules
Agent learning
Learns tone, processes, preferences over time
Self-improvement: agents review runs and edit their skills
Execution & Integrations
Agent behavior
Proactive: triggers, schedules, background execution
App triggers and recurring tasks
Meeting intelligence
Native notetaker + follow-ups drafted for approval
No native notetaker listed; reads notes from tools like Granola
CRM writes
After meetings and events, with one-click approval
Via Salesforce and HubSpot connectors, on demand or on triggers
Integrations
50+ native read/write connectors
400+ connectors plus a real browser for sites without an API
Purpose-built interfaces
Tables, queues, Slack-native agents, approval flows
Chat, Slack, email, and live artifacts
Deployment & Pricing
Time to value
Pre-built agents work out of the box, no canvas required
Agent templates by use case; build or adapt each agent
Security
SOC 2 Type II, GDPR, CASA Tier 2
SOC 2 Type II, GDPR; SAML SSO, SCIM, VPC option
Pricing
Book a demo for pricing
Pro from $37/month (20k credits, unlimited seats); Enterprise custom
Enterprise readiness
Full audit trails, permissions, approval flows
Audit logs, RBAC, SCIM/SAML, VPC, AI spend insights

See it on your own tools

Comparing Gumloop and Coworker?

Book a 20-minute demo, or get a free Context Impact Report: we run your team's questions through your current setup and through Coworker, then score every answer blind.

The ROI calculation was straightforward. We just needed to save two to two and a half hours per month per person to break even. We exceeded that in the first few weeks.

Marcin Safranow

Marcin Safranow

VP IT Operations, Huuuge Games

Huuuge Games
Security and governance

Enterprise-grade security, from day one

SOC 2 Type II

Audited annually, report on request

Hosted locally

Your memory stays in your region. Open-source models run in the US.

Isolated per company

In our cloud or your VPC

Never trains on your data

No model provider, closed or open source

Your permissions, enforced

The access already set in Salesforce, Slack, Jira and Drive

Also included

GDPRCASA Tier 2Node-level permissions at query timeEvery fact traceable to its sourceSSO and SAMLAES-256 at rest, TLS 1.2+ in transitRegional data residency

FAQ

Frequently asked questions

Gumloop is an AI agent platform: teams build agents in chat with skills, triggers, 400+ connectors, and a Company Brain built from connected tools. Coworker starts from OM2, a pre-synthesized memory of your people, accounts, and decisions, so agents reason about multi-step work, learn your team's patterns, and act proactively in the background.

Yes. Gumloop now centers on agents: you build them in chat, give them skills and connectors, and set app triggers or recurring tasks. Its older Workflows are labeled legacy. Coworker agents start from OM2's organizational context and act proactively across 50+ tools.

Yes. Gumloop agents are built in chat, and Gumloop says the only prerequisite is understanding the task. Coworker also lets anyone deploy agents in natural language, with OM2 supplying the org context so your PMs, CS team, and ops folks start from what the company already knows.

Gumloop agents self-improve: each reviews its own runs and fixes what was slow or costly, and agents can edit their own skills. Coworker agents learn your tone, processes, and preferences automatically, they get better every week without anyone touching them. No manual tuning, no engineering tickets.

Not necessarily. Keep Gumloop for the agents your team already runs there. Deploy Coworker for the intelligent agent layer, proactive work, complex reasoning, continuous learning, and cross-functional execution. Different tools for different categories of work.

Yes. Coworker is SOC 2 Type II certified, GDPR compliant, and CASA Tier 2 verified. All data is encrypted, respects existing permission models, and is never used to train AI models. Enterprise customers get SSO, RBAC, and a dedicated security review.

See why teams switch from Gumloop

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