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Lamatic.ai

Lamatic AI provides AI middleware for engineering teams to visually build, deploy, and continuously optimize agentic applications. The platform offers pre-built AgentKits and a visual flow builder to accelerate development and reduce time-to-market for RAG, internal assistants, and semantic search solutions. It scales deployments serverlessly while providing tracing and performance dashboards to ensure reliability.

Fort Lauderdale, United StatesFounded 202311500+ followers
Updated 4 months ago

Funding

$445K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Integrating Large Language Models (LLMs) into applications often requires specialized LLM engineers and complex infrastructure, leading to delays and increased costs. Managing the GenAI tech stack, including integrations, vector databases, and hosting, adds further complexity and tech debt.

Solution

Lamatic.ai offers a managed GenAI platform designed to streamline the integration of LLMs into applications. The platform features a role-based visual builder and automated workflows, enabling teams to rapidly build and deploy GenAI-powered applications without requiring specialized LLM expertise. By deploying on a serverless edge infrastructure, Lamatic reduces latency and accelerates the development lifecycle. The platform provides a comprehensive suite of tools for building, connecting, and deploying AI agents, simplifying the process of creating and managing GenAI applications at scale.

Target Audience

Lamatic.ai targets engineering teams and AI founders seeking to rapidly build, test, and deploy high-performance GenAI applications without the complexities of managing infrastructure and integrations.

Features

  • Role-based Studio interface for collaborative GenAI application development
  • Automated workflows and CI/CD pipelines to eliminate error-prone hand-offs
  • Pre-built integrations for connecting models, apps, and data sources
  • Built-in vector database powered by Weaviate, offering advanced filtering and hybrid search
  • Serverless edge deployment for low latency and high performance
  • GraphQL API for controlling all workflows with a single endpoint
  • Customizable widgets and real-time generative UI capabilities for rapid deployment
  • Actionable reports and real-time tracing for monitoring and optimization
  • Centralized access management for user security and API key management
This profile is AI-generated and may contain inaccuracies.