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Gumloop
San Francisco AI automation company founded in Vancouver in 2023 that lets non-technical employees build AI agents and workflows that connect to company data and apps.
Operations, sales, and marketing teams at mid-size and large companies that want employees to build and share AI agents without engineers.
Engineering teams that want to write agents in code, or small buyers who want a low, fixed price with no credit tracking.
Verdict
Gumloop is worth using for companies that want employees across departments to build their own AI agents and automations. Its ease of use is its main strength, and it works with several model providers. Developer teams will likely prefer a code-first framework.
Score Breakdown
How Gumloop scores in the categories that matter to its buyers.
Pricing
Gumloop publishes its Pro plan price and credit rates on its pricing page, and Enterprise plans are custom-quoted.
| Plan | Price | What stands out |
|---|---|---|
| Pro | $37 / month | 20,000 monthly credits, unlimited seats, 14-day free trial |
| Enterprise | Custom | Custom-quoted, with custom credit volume and concurrency limits |
| Extra credits | $0.005 per credit | Pay as you go, off by default |
| Orchestration fee | 8% | Discounts available on Enterprise |
The Field at a Glance
How Gumloop compares with other agent platforms and frameworks vendors we reviewed, by Overall Score and relative typical engagement cost.
Gumloop scores 7.8 in agent platforms and frameworks, under LangChain (8.0), and ahead of Kore.ai (7.5), Dust (6.8), and Relevance AI (6.7). Relative cost lands mid-band for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| No-code agent builder | Strong | Employees build agents without engineers. |
| Sharing across teams | Strong | Agents are shared and co-owned by teams. |
| Model choice | Strong | Works across several model providers. |
| Managed authentication | Strong | Actions are logged and can be blocked by admins. |
| Code-first development | Weak | Built for no-code users. |
| Price visibility | Mixed | Enterprise pricing is custom. |
Who it’s for
Good fit
- Operations and RevOps teams
- Marketing teams
- Enterprises rolling out AI to staff
Poor fit
- Developer teams wanting code
- Buyers wanting fixed pricing
- Single-workflow needs
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“The partnership review agent cuts prep time from 30-45 minutes per customer to under five minutes, and it results in a 31% higher win rate and 44% larger deals.”
“Gumloop turned our sales and marketing teams into builders, and saved us thousands of hours of manual work.”
Gumloop's self-serve plan meters work in credits and adds an 8% orchestration fee, and Enterprise pricing is not published.
Company Facts
- Founded
- April 2023, as AgentHub (BetaKit)
- Headquarters
- San Francisco (founded in Vancouver) (BetaKit)
- Employees
- 24 (March 2026) (BetaKit)
- Latest funding
- $50M Series B led by Benchmark, March 2026 (TechCrunch)
- Website
- gumloop.com
Key Leadership
Max Brodeur-Urbas
Co-founder and CEO
Methodology
This page is an independent evaluation of Gumloop for buyers comparing options in agent platforms and frameworks. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Gumloop did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for agent platforms and frameworks)
- Ease of building agents
- Enterprise adoption
- Model flexibility
- Pricing transparency
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Gumloop is graded here as agent platforms and frameworks. Criteria scores can move as more review volume and product checks are added.