Sistava

Gumloop

No-code AI automation framework for building agent workflows and automation systems.

About Gumloop

Gumloop is a fast-growing no-code AI automation platform focused on building workflows and agents for operations-heavy teams. It emphasizes visual building, templates, and practical automation outcomes across functions like support, CRM, and document workflows. Sistava overlaps in no-code automation, but differentiates with the AI workforce model: hire role-based employees, organize them into teams, and run structured delivery workflows instead of only managing automation flows.

Platform details

Official website

What does Gumloop actually do?

Gumloop is an AI-first workflow automation platform with a visual node-based canvas where every node can contain AI logic. You build flows by connecting nodes for web scraping, document parsing, image analysis, OpenAI or Claude calls, Google Sheets writes, email sends, and more. Workflows can be triggered manually, on a schedule, or via webhook, and most templates are built for batch AI work like research, enrichment, and content generation. The product is best known for two things. First, every node is AI-capable, so analyzing text, deciding, or transforming data with a model is a one-node operation instead of an external API call. Second, Gummie, the meta-agent, generates entire workflows from a natural-language description, which lowers the build cost dramatically for non-technical operators. Gumloop is a Y Combinator W24 alum and closed a $50M Series B led by Benchmark in early 2026, so the team is well-funded and shipping fast. Target users are marketing, ops, and recruiting teams who want to automate batch AI work without writing code. Sistava is shaped differently. Gumloop is the canvas you author AI workflows on; Sistava is the AI employee you hire to do the work without authoring the workflow. For a marketing or support function you want owned end to end, the workforce abstraction is the match.

How much does Gumloop cost?

Gumloop's Free tier includes 2,000 credits per month and one trigger-based automated flow. The Solo plan is $37 per month for 10,000 credits, unlimited triggers, and all AI node types including web scraping, document parsing, image analysis, and multi-model chaining. Team and Enterprise tiers add seats, shared workspaces, SSO, and higher credit pools at custom pricing. Credits are consumed per node execution, and AI-intensive nodes (GPT-4-class calls, scraping, image analysis) cost more credits than simple data transformations. That makes simple workflows feel cheap and AI-heavy batch jobs feel expensive, especially when you fan out across hundreds of inputs. There is a real watch-out: unused credits do not roll over on standard plans. Teams with bursty usage (a heavy research week followed by quiet weeks) end up over-provisioning and wasting headroom. Heavy users often need to upgrade plans rather than rely on overage pricing. Sistava prices the outcome on a credit pool that bundles model usage, tool calls, and memory across an entire employee role. For a founder who wants the function owned (a marketer, a researcher, an SDR) the per-role economics are usually friendlier than per-node credit math.

When does Gumloop beat the alternatives?

Gumloop beats Zapier, Make, and n8n when the workflow is heavy on AI nodes and light on traditional SaaS plumbing. Batch research (scrape 500 sites, summarize each, score against ICP, write to Sheets), content generation (turn a brief into 30 LinkedIn variants), and document analysis flows are where the every-node-is-AI design pays off. Building the same flow in Zapier needs multiple custom Code or OpenAI steps and explodes the task count. It also wins on author speed. Gummie, the meta-agent, turns a paragraph of intent into a working workflow that you then refine. For non-technical operators who want to ship a useful AI workflow in an afternoon, this is a real edge over Make and n8n where building is more manual. Pricing is friendlier than enterprise agent platforms (Workato, Tray) for small teams, and the interface is more polished than n8n for AI-first work. For a marketing team that wants to operationalize AI without an engineering hire, Gumloop is one of the cleanest picks. Where Gumloop is the wrong tool: when you do not want to author and operate workflows at all. That is the Sistava shape. The AI employee handles the planning, doing, and reporting; you brief and review.

Where does Gumloop fall short for solo founders?

Gumloop is still a workflow tool, even with AI in every node. Solo founders end up authoring, debugging, and maintaining flows on top of running the business. A marketing engine usually needs 10-20 workflows for research, scoring, drafting, distribution, and reporting, each of which has to be designed, tested, and kept alive. That is a part-time job most founders do not have headroom for. Credits can sting. AI-heavy batch work eats credits quickly, and the no-rollover rule punishes uneven usage. A research week that runs against 1,000 ICP leads can blow through a month's plan in a day; a quiet week leaves credits on the floor. Forecasting cost is harder than the headline plan suggests. Coherence across workflows is also manual. Each flow is independent, with its own prompts, its own memory (if you wire it), and its own outputs. There is no shared role identity or accumulated context the way a human employee would build over time. Sistava gives the founder one entity to brief instead of a graph of flows to maintain. The AI employee has a role, a skill catalog, persistent memory, and access to the tools the work needs. For a 'I need a marketer tomorrow' job, hiring beats authoring.

How does Gumloop handle AI agents and batch workflows?

Gumloop's strongest pattern is batch AI. You define a workflow once, feed in a list (URLs, leads, documents, images), and the platform fans out execution across nodes with AI logic at each step. Outputs land in Sheets, Notion, your CRM, or a downstream Gumloop flow. It is one of the cleanest UX for high-volume AI processing. Agents are increasingly first-class too. Beyond Gummie, Gumloop has been shipping agent-capable nodes that can plan, call tools, and loop. They sit inside the same workflow canvas, which means agents are scoped tools used by humans rather than autonomous workers managing themselves. Integration coverage is narrower than Zapier or Make but deep where it matters for AI-heavy work (scrapers, scrapers with JS rendering, OCR, vector stores, Sheets, CRM basics, email). Less coverage of long-tail SaaS, which can force you to bridge with Zapier or n8n for stragglers. Sistava treats the agent as the unit of work, not a node in someone else's flow. The AI employee plans, calls tools, escalates, and delivers outcomes. Where Gumloop shines as a canvas for AI batch jobs, Sistava is the staffed version of that work.

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