Gumloop vs Viktor

A side-by-side look at Gumloop and Viktor — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

GumloopViktor
SummaryVisual AI agent and workflow builder for teams, letting non-engineers automate work with AI agents across integrations.AI employee that lives inside Slack and Microsoft Teams, handling outreach, pipeline, reporting and automations across 3,200+ connected tools.
PricingFreemiumFreemium
CategoryAI AgentsAI Agents
PlatformsWebWeb, Slack, Microsoft Teams
Key features
  • Visual AI Agent Builder
  • Unlimited Seats on Pro
  • 20,000 Monthly Credits (Pro)
  • Integration Library
  • Lives in Slack & Microsoft Teams
  • 3,200+ tool integrations
  • Runs code on a cloud VM
  • Cross-task memory
  • Outreach & pipeline management
  • Automations & scheduled runs
  • Reporting & analysis
  • Internal app building
  • Shared team credits
  • Auto-topup spend caps
Pros
  • Confirmed self-serve pricing (Pro $37/month) with unlimited seats, not per-user
  • 14-day free trial on Pro to test before committing
  • Has a public 'Gumloop Creators' affiliate program (20% of referred subscription revenue for 1 year)
  • Core identity is genuinely an agent/workflow-building platform, not a broader workspace with agents bolted on
  • Works from inside Slack and Microsoft Teams, so there is no new dashboard to adopt — it acts where the team already communicates
  • One shared Team plan covers the whole workspace rather than per-seat licensing
  • Connects to 3,200+ tools and can run its own code, so tasks span outreach, CRM, reporting and small internal apps
  • Free $100 credit allowance with no credit card lets a team trial real work before paying
  • Credits map to actual model usage and roll over, with auto-topup spend caps to limit surprise bills
Cons
  • 20,000 monthly credits on Pro is a usage cap that heavy users could exhaust
  • Newer, less established brand than larger workflow-automation platforms
  • Credit-based pricing makes the monthly cost hard to predict — Viktor's own examples put 'full project' tasks at 2,000-5,000 credits each, so busy months can exceed the 40,000-credit Team allowance and need top-ups
  • No paid tier between the $100 free credits and the $100/month Team plan — light and solo users have no cheap entry point
  • The whole product is built around Slack and Microsoft Teams; teams that do not run one of those do not get the core experience
  • New in 2026 with little independent verification — the '4.9 on G2' figure and capability demos are vendor-supplied, and Viktor's reliability on real multi-step projects has not been independently tested

Which one should you choose?

Gumloop

Best for: Teams that want a self-serve, no-code way to build and run AI agents without engineering involvement.

Viktor

Best for: Slack/Teams-based sales and ops teams.

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Read the full Gumloop review

Gumloop is a visual builder for running AI agents and workflows with a team, letting non-technical users automate work across integrations without writing code. It's positioned as a self-serve agent platform for teams that want to build and run their own AI agents rather than relying on IT or engineering to build automations for them.

Read the full Viktor review

Viktor is an AI employee that works from inside Slack and Microsoft Teams — you @-mention it in the channels your team already uses and it takes the task end to end, from summarizing a thread and updating your CRM to shipping a small internal app. It connects to 3,200+ tools, runs code on its own cloud VM, and remembers past decisions across tasks. Rather than a separate dashboard you have to open, Viktor is designed to sit where work already happens: quick tasks (a Slack summary plus a CRM follow-up), complex workflows (push a website change ready for review), and full projects (build an internal deal-desk app wired to HubSpot and Stripe). It runs on a credit model that maps to real model usage across providers, with a free tier of $100 in credits and a shared Team plan for the whole workspace. Viktor is a new product (2026) and has not yet been broadly independently reviewed, so capabilities beyond the vendor's own demos are unverified.