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Lamatic.ai

Paid

Build, Deploy and Optimize Agentic Apps

AI AgentsContact
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Type
Saas
Company
Lamatic.ai

About Lamatic.ai

Lamatic.ai is a managed PaaS (Platform as a Service) designed for building, testing, and deploying GenAI (Generative AI) applications on the edge. It features a low-code visual builder, VectorDB powered by Weaviate, and integrations to apps and models. It offers tools for flow building, integrations, edge deployment, monitoring, and seamless integration with GraphQL and webhooks. Lamatic.ai aims to simplify the development and deployment of AI agents, providing a collaborative builder and zero-ops serverless platform.

How to Use

Use the visual builder to create flows, connect models, apps, and data sources via drag-and-drop integrations. Deploy on the edge for low latency and scalability. Utilize the built-in VectorDB and monitoring tools for optimization and reliability. Integrate with existing systems using GraphQL and webhooks.

Key Features

  • Low-code visual builder
  • VectorDB powered by Weaviate
  • Drag-and-drop integrations
  • Edge deployment
  • Real-time monitoring
  • GraphQL & Webhooks integration
  • Role-based permissions
  • Automated workflows

Use Cases

  • Building and deploying AI agents on the edge
  • Integrating AI features into SaaS products
  • Creating custom GenAI-powered applications with widgets
  • Automating data pipelines with leading LLMs

FAQ

What about data and ownership? Verdent Build Your Product With Plain Words In Minutes

Key Features

Low-code visual builder
VectorDB powered by Weaviate
Drag-and-drop integrations
Edge deployment
Real-time monitoring
GraphQL & Webhooks integration
Role-based permissions
Automated workflows

Pros & Cons

Pros
  • Low-code visual builder enables rapid development (10x faster time to market)
  • Serverless infrastructure auto-scales and reduces latency
  • Real-time monitoring and debugging tools for production visibility
  • Extensive integration ecosystem with 100+ models and data sources
  • Developer-friendly SDKs and APIs for custom workflows
  • Cost-effective with estimated savings up to $30,000 per project
  • Free tier available to start building without commitment
  • Startup program offers up to $5k in credits
Cons
  • Free tier limited to 3,000 requests/month and 3 team members
  • Higher tiers (Pro $99/mo, Team $149/mo) may become pricey for large-scale usage
  • Does not include non-AI full-stack development; consulting services are separate
  • Requires ongoing subscription for managed hosting and integrations
  • Edge deployment relies on Lamatic's cloud infrastructure (internet required)

Best For

Building and deploying AI agents on the edgeIntegrating AI features into SaaS productsCreating custom GenAI-powered applications with widgetsAutomating data pipelines with leading LLMs

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