Lamatic.ai

Lamatic.ai is a fully managed PaaS for building, connecting, and deploying AI agents at the edge. It provides a low-code visual builder, integrated vector stores, and seamless connections to apps, data sources, and leading AI models. The platform is designed to help teams rapidly build, test, and deploy high-performance GenAI agents with edge deployment, GraphQL API access, and serverless infrastructure.

---

Key Capabilities

Lamatic offers a scalable, edge-first GenAI stack with built-in data handling, model orchestration, and observability. It emphasizes low-code collaboration, automated workflows, and a single source of truth for experiments, data, and deployments.

How to Use Lamatic

1. Plan & Connect: Use Studio to connect models, apps, data sources, and agents via a visual interface.
2. Build & Iterate: Drag-and-drop components, set permissions, and define workflows.
3. Deploy: Deploy to edge in under 60 seconds with a serverless architecture.
4. Monitor & Improve: Use real-time traces, reports, and experiments to optimize prompts, embeddings, and models.

Core Concepts

• Agents: Composable AI agents that can be deployed at the edge.
• Studio: Role-based interface for building, testing, and orchestrating workflows.
• Vector Stores: Built-in, integrated vector database (Weaviate) for search and retrieval.
• GraphQL API: A single API to control all workflows.
• Instant Apps & Widgets: Real-time generative UI capabilities for deploying GenAI-powered apps quickly.
• Experiments & Reports: Built-in experimentation framework with comprehensive visibility into performance metrics.

---

What It Replaces / Integrates

• Replaces 8+ tools through an integrated stack (vector DB, LangChain integrations, logging, API, etc.).
• Integrates with apps, data sources, and models to create cohesive GenAI pipelines.

---

How It Works

• Build: Drag models, apps, data, and agents in Studio.
• Connect: Seamlessly connect to data sources, destinations, and services.
• Deploy: Edge deployment with managed hosting and a GraphQL API for rapid integration.
• Observe: Real-time tracing, usage reports, and experiments to drive improvements.

---

Safety & Reliability

• Built-in observability and governance to monitor accuracy and reliability.
• Data is stored securely in the cloud; you retain data ownership and can export or delete data at any time.

---

Feature Highlights

• Low-code visual builder for GenAI agents
• Edge-native deployment with serverless hosting
• Integrated vector stores (Weaviate) for advanced search and RAG
• Built-in GraphQL API to control all workflows
• Instant Apps and real-time generative UI components
• Role-based permissions and collaboration in Studio
• Automated experiments, traces, and reports for continuous improvement
• Templates and pre-built integrations to accelerate development
• Data ownership, encryption, and export/delete options

---

Tech & Architecture at a Glance

• Edge Deploy: Deploy AI agents at the edge with low latency
• Vector Stores: Secure, scalable vector data with advanced filtering and RAG
• GraphQL API: Unified API to orchestrate all components
• Observability: Real-time traces, usage analytics, and performance dashboards
• Templates & Apps: Pre-built templates and 3rd-party integrations
• Security & Data Ownership: Encrypted data, export/delete options, ownership of trained models

---

Pricing & Getting Started

• Start for free with included managed integrations and vector store access.
• No upfront credit card required for the trial.
• Sign up to access full platform capabilities and enterprise features via hands-on demos.