Lleverage helps teams automate complex business processes through visual AI workflows. Our platform enables business experts to transform manual, knowledge-intensive tasks into automated solutions - without coding or AI expertise. Built and deployed in Europe, trusted by growing companies to solve their most challenging automation needs.
Lleverage helps companies implement AI in their products.
From prototype to production in days, not months, we provide tools for both technical and non-technical teams to build, test, and deploy AI features, making advanced AI capabilities accessible to every product team.
With Lleverage, you get access to all the main LLM models in one place. You can also use our AI assistance to interpret your prompt and help you pick the right model for the feature you're building.
Create tailored workflows with RAG, prompt chaining, and custom prompt engineering, model comparison, vector databases to bring in your own data. Our AI development platform lets you design data-rich, context-sensitive processes for any task.
Lleverage is an AI platform helping product and engineering teams quickly build and deploy AI features without prior expertise.
Transform your tailored workflows into ready-to-use internal apps, deploy forms, chat tools, build custom tools for document processing, support, or internal knowledge retrieval with minimal setup, all within the platform.
Lleverage is the simplest way to get started with AI development. Design, test, and deploy custom workflows with complete control. No advanced coding required.
We're on a mission to build the world's leading AI development platform.
Lleverage is an AI development platform that lets teams build, test, and deploy visual AI workflows to automate back-office processes without coding.
- for
- Product and engineering teams needing to automate knowledge-intensive back-office tasks.
- pricing
- contact sales
works withSAPBusiness CentralDynamics 365ExactAFASSageGoogle DriveOneDriveSharePointOutlookTeamsGmailEDIOracle
Key features
6 features of Lleverage
- Visual AI workflow builder — Design data-rich, context-sensitive processes with drag-and-drop components like RAG and prompt chaining.
- Agent platform — Create AI agents that read documents, make decisions, and interact with ERP systems.
- Company brain — Central knowledge store with rules, memories, and observations that improves over time.
- Human-in-the-loop approvals — Agents request approval before acting, ensuring control and auditability.
- Built-in governance — Role-based permissions, full audit trail, SOC 2, ISO 27001, GDPR-compliant hosting in Europe.
- Integrated ERP connectors — Native connections to SAP, Business Central, Dynamics 365, Exact, Sage and more.
Use cases
- Automate order intake from PDFs and emails
- Match invoices to purchase orders and flag variances
- Provide real-time customer support with order context
- Synchronize master data across ERP, SharePoint and cloud drives
- Generate quotes and sales orders directly in ERP
Lleverage vs alternatives
 Lleverage | .jpg1690446595296.png?width=64) Dify.AI |  Pipelex |  BuildShip |  Replicate | |
|---|---|---|---|---|---|
| Best for | No-code AI workflow automation for back-office | LLMOps and custom AI app development | Code-first AI workflow definition | Visual AI backend construction | Unified model API access |
| Pricing | Contact sales | Free | Free | Free | Subscription |
| DevHunt upvotes | 0 | 30 | 40 | 118 | 0 |
| Launched | Jan 2025 | Jan 2023 | Oct 2025 | Jan 2023 | — |
- Lleverage vs Dify.AI: Open-source platform for building LLM-powered apps, focused on developers rather than visual back-office automation.
- Lleverage vs Pipelex: Declarative language for repeatable AI workflows, targeting developers who code workflows instead of using a visual UI.
- Lleverage vs BuildShip: Drag-and-drop visual backend builder for AI, but geared toward general backend services rather than back-office process automation.
- Lleverage vs Replicate: Provides API access to many AI models, not a full workflow or automation platform.
Lleverage FAQ
Why is pricing per agent instead of per seat?+
An agent replaces a specific work process, so you pay for the automation job, not for user licenses.
What counts as one agent?+
One end-to-end process, such as order intake or invoice matching, regardless of how many systems it touches.
Are there extra AI usage fees?+
No, AI usage is included within the monthly price under a fair-use policy.
Is there an integration cost?+
No, connecting to ERP and other systems is part of the subscription price, including engineering effort for the first process.
What if an agent doesn’t deliver value?+
You can disable it; the platform shows performance metrics early so you can decide before renewal.
How long until the first agent goes live?+
Typically a few weeks for supervised operation; subsequent agents deploy faster as context is already built.
Summarized by DevHunt from lleverage.ai · Oct 8, 2026. Details may change; check the official site.
