Lamatic homepage

Lamatic

by Lamatic.ai

Low-code platform to build agentic AI apps and deploy them on serverless edge

Agent PlatformSupervised

Last reviewed 2026-06-19

Lamatic is a low-code agentic AI development platform for building, deploying, and optimizing GenAI applications. Teams build agents and workflows visually with a drag-and-drop flow builder, add context with a built-in vector database and memory, connect to 100+ models, data sources, and apps, and then deploy production-grade on a serverless edge for low-latency responses worldwide. Real-time tracing and dashboards cover observability. It is a builder platform rather than an agent itself: autonomy depends on what teams build, and most workflows ship with human oversight at design and review time. Lamatic exposes a GraphQL API and SDKs (JavaScript/Next.js, Python, curl) so the agents run inside products. Detailed company, funding, and team information is not published on its site; capability claims here come from the product pages and reviews.

What it can do

  • Build agents and workflows visually

    Supervised

    A low-code, drag-and-drop flow builder lets teams construct custom agents, processes, and automations without heavy coding.

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  • Add context with vector DB and memory

    Assistant

    Built-in vector database and memory let flows ground responses in custom data for RAG and semantic search.

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  • Deploy production-grade on serverless edge

    Supervised

    Automates deployment of agents and flows on a serverless edge for low-latency responses across regions.

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  • Embed agents via GraphQL API and SDKs

    Assistant

    Exposes a GraphQL API and SDKs (JavaScript/Next.js, Python, curl) plus managed integrations so agents run inside products.

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Strengths

  • +Visual low-code builder with managed integrations, vector DB, and hosting in one platform
  • +Serverless edge deployment for low-latency responses across regions
  • +GraphQL API and multi-language SDKs make embedding agents straightforward

Limitations

  • A builder platform, not a turnkey agent; autonomy depends on what you build
  • Limited public company, funding, and team information
  • Crowded low-code GenAI platform space (Dify, Stack AI, Flowise)

Overview

Lamatic is a low-code agentic AI development platform: build agents and GenAI workflows visually, deploy them on a serverless edge, and optimize them with built-in observability.

What it does

A drag-and-drop flow builder constructs agents and automations. A built-in vector database and memory add custom context for RAG and semantic search. Workflows deploy production-grade on a serverless edge for low-latency responses, with real-time tracing and dashboards. A GraphQL API and SDKs (JavaScript/Next.js, Python, curl) plus managed integrations embed the agents in products.

Integrations & setup

Connects to 100+ models, data sources, and apps; sign-up is self-serve at the studio. No MCP support is advertised as of this review.

Pricing

Freemium: a free tier (around 3K requests/month) with paid plans starting around $100/month that bundle managed integrations, vector DB, hosting, edge deployment, and the SDK.

Best for / not for

Best for teams that want to build and ship GenAI agents quickly with managed infrastructure and edge deployment. Less suited to those wanting a fully open-source self-hosted stack or a turnkey vertical agent.

Alternatives

Dify and Stack AI are close low-code agent platforms; Flowise and Langflow are open-source flow builders; Vellum focuses on LLM app development and evals.

What people are saying

We aggregate real LinkedIn discussion into sentiment for the agents people search most. Lamatic isn't tracked yet, want it added? Request tracking.

FAQ

Is Lamatic an agent or a platform to build agents?+

A platform. You build agents and GenAI workflows visually and deploy them on serverless edge. The autonomy of what you ship depends on how you design it; most workflows include human oversight at build and review time.

How do I deploy what I build?+

Lamatic deploys agents and flows on a serverless edge and exposes them via a GraphQL API and SDKs for JavaScript/Next.js, Python, and curl.

Sources

Last reviewed 2026-06-19

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