THub (thub.tech) is an AI agent builder that lets users visually design, configure, and deploy generative AI workflows using a drag-and-drop canvas interface. Users drag functional components called nodes from a toolbox onto a canvas, then connect them by clicking and dragging to define logic and data flow, without requiring programming knowledge. The platform targets both non-technical users (business owners, product teams) and developers who want to rapidly prototype or deploy AI pipelines. It supports end-to-end pipelines for structured, semi-structured, and unstructured data, and integrates with multiple large language model providers. THub provides modular building blocks including Memory, Embeddings, Prompts, and Tools components. It supports vector databases such as Pinecone, Weaviate, and Qdrant for storing and retrieving vector embeddings of unstructured data, enabling retrieval-augmented generation (RAG) use cases. Deployment options include embedding workflows directly into external applications via embed scripts or exposing them as REST API endpoints. The platform also includes voice intelligence integration and advanced analytics capabilities according to review sources. Pricing follows a tiered model: a free-forever plan, a Pro Power plan priced at approximately 19,999 INR per agent per month, and an Enterprise plan with custom pricing. The Indian rupee denomination suggests the company is India-based or primarily targets that market. Key features: - Visual drag-and-drop canvas for building AI agent workflows - Modular node system (Memory, Embeddings, Prompts, Tools) - Vector database integrations (Pinecone, Weaviate, Qdrant) - Retrieval-augmented generation (RAG) pipeline support - Embed or REST API deployment for external applications - Voice intelligence integration - Support for multiple LLM providers - No-code and low-code interface accessible to non-technical users
Free forever plan; Pro Power at ~19,999 INR/agent/month; Enterprise custom pricing