Visual no-code flow builder
Build AI agents and automations on a visual canvas instead of writing scripts. The flow builder supports drag-and-drop nodes, conditions, loops, triggers, and actions.
Agents IA autonomes, automatisation des workflows et intégrations pour entreprises
Diaflow is an autonomous AI agent platform for businesses that combines AI agents, workflow automation, productivity tools, and integrations in one workspace. The platform is built around a visual flow builder and is positioned for teams that want to automate tasks, deploy AI agents, and manage business processes without relying entirely on custom code.
The source content emphasizes secure, shared use across organizations. Diaflow describes a secure AI environment, a no-code workflow builder, built-in tools for tables, pages, drive storage, and vectors, and support for connecting with a wide range of external apps and data sources.
Build AI agents and automations on a visual canvas instead of writing scripts. The flow builder supports drag-and-drop nodes, conditions, loops, triggers, and actions.
Create workflows by describing them in natural language, or add Python nodes when a task needs custom logic. The same canvas supports both non-technical and advanced users.
Choose between AI agents for open-ended tasks and workflow automation for structured processes. Diaflow presents them as complementary ways to solve different kinds of work.
Use built-in productivity tools for tables, pages, drive storage, and vectors. These tools support collaboration, document generation, file storage, and vector-based knowledge retrieval.
Connect Diaflow with native integrations, HTTP request nodes, webhooks, and database connectors such as PostgreSQL and Snowflake. The platform also lists apps like Slack, Telegram, YouTube, SerpAPI, and Perplexity.
Track AI usage and manage access across teams with governance and monitoring controls. The pricing page also references team and role management for business plans.
Operations, marketing, and business teams can build step-by-step automations with triggers, conditions, and actions to remove manual handoffs and repetitive work.
Teams can use AI agents for tasks that require planning or flexible execution, such as handling multi-step work from a broad instruction rather than a fixed rule set.
Teams can centralize data in Diaflow Tables, connect it to forms, APIs, webhooks, or agents, and use it as a shared dataset across workflows.
Business users can generate, edit, and standardize documents with Diaflow Pages, including reports, letters, contracts, and other branded output.
Support, sales, and knowledge teams can store documents in Drive and structure information in Vectors for semantic retrieval and context-aware answers.
Diaflow positions itself as a no-code platform for building AI agents and workflow automations. Its flow builder, productivity tools, and integrations are designed for teams that want to automate tasks, manage data, and use AI in a shared workspace.
The source says Diaflow supports both AI agents for non-deterministic tasks and workflow automation for deterministic processes. In practice, that means it can handle broad, open-ended tasks with agents and structured repeatable steps with automated flows.
Diaflow’s source content emphasizes visual building, natural-language workflow creation, and code when needed. It presents the platform as usable without coding, while still allowing a Python code editor for more advanced needs.
Diaflow’s pricing page shows tiered plans for individuals, teams, and businesses, with an enterprise option that directs buyers to talk to sales. The page also notes that plan details include limits such as flows, storage, and access to advanced features.
The integrations page says Diaflow can connect with 200+ apps out of the box and also offers a universal API connector plus HTTP request nodes for unsupported tools. That suggests custom integrations are possible when a native connector is not available.
Les données de trafic sont fournies à titre indicatif uniquement.
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