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EnglishWhat AI Models and Integrations Does Gumloop Support?
Updated
Gumloop is a multiplayer AI agent builder that lets teams build agents with any AI model and any integration, while IT controls access. Based on the site's own description, the platform is positioned as "agent infrastructure" for companies: your experts build the agents, the agents pull in complete context about your company, and they meet your team where they already work. The one model named explicitly in the available page evidence is Claude 4.5 Sonnet, shown running a CRM agent. Beyond that, the site states the "any AI model, any integration" positioning without listing a specific catalog, so treat the exact roster as something to confirm on the pricing or docs pages before committing.
AI models
What the available evidence supports:
- Any AI model — the site's core claim is that you can build agents with any AI model rather than being locked to one vendor.
- Claude 4.5 Sonnet — the only model named in the page evidence, used in the CRM Agent example (labeled "Claude 4.5 Sonnet + 5 M").
- Model choice per agent — because the builder is model-agnostic, the practical implication is that different agents can run on different models depending on the task.
What is not specified in the available material: the full list of supported providers, whether you bring your own API keys, and how model selection is configured in the builder. Those are the details to verify directly.
Integrations
The site describes integrations as the mechanism that connects agents to company data and tools, and the positioning is again broad: "any integration." The page evidence shows this in practice through a CRM agent that:
- Fetches open opportunities
- Cross-references deals in HubSpot
- Reads pipeline stages, amounts, close dates, probability, and owner
- Flags at-risk deals and offers to draft follow-up emails
That example illustrates the pattern: an integration gives the agent read (and potentially write) access to a system of record, and the agent reasons over that data to answer a question or take an action. The site also emphasizes "complete context on your company" and "meet your team where they work," which points to integrations spanning data sources and the tools people already use day to day.
| Dimension | What the evidence shows | What to confirm |
|---|---|---|
| Model support | Any AI model; Claude 4.5 Sonnet named | Full provider list, BYO-key options |
| Integration scope | Any integration; HubSpot shown in a CRM agent | Catalog of connectors, custom/API options |
| Context | "Complete context on your company" | How data sources are connected and scoped |
| Access control | IT controls access | Roles, permissions, and admin settings |
| Deployment | Agents deployed across teams | Setup steps and environment requirements |
How to choose based on this
If your priority is model flexibility, Gumloop's model-agnostic positioning is the relevant feature — but confirm the specific providers you need are supported before standardizing on it.
If your priority is connecting existing tools, the CRM example suggests integrations are deep enough to read structured records and act on them. Check whether the specific systems you rely on are covered, or whether a custom integration path exists.
If your priority is IT governance, the "IT controls access" claim is the one to validate against your own access requirements.
Practical next step
Because the public page evidence names only one model and one integration example, the fastest way to get a definitive answer for your stack is to open the pricing page and request a demo, then ask directly: which models can each agent use, which integrations ship out of the box, and how custom connections are built. That turns the broad "any model, any integration" claim into a concrete list you can plan against.