Powabase
To be verifiedPowabase is an all-in-one backend-as-a-service (BaaS) platform specifically designed for AI-native applications. It integrates a dedicated Postgres database with pgvector, an out-of-the-box Retrieval-Augmented Generation (RAG) pipeline, AI agent runtimes, and drag-and-drop visual workflows into a single system. The platform is optimized for modern AI coding agents like Claude Code, Codex, and Cursor, allowing software development agencies and in-house IT teams to ship AI products or add AI automation to existing infrastructure quickly and cost-effectively without managing fragmented services.
All-in-one backend-as-a-service for building AI-native applications and workflows.
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powabase.ai/
What is Powabase?
All-in-one backend-as-a-service for building AI-native applications and workflows.
Powabase is an all-in-one backend-as-a-service (BaaS) platform specifically designed for AI-native applications. It integrates a dedicated Postgres database with pgvector, an out-of-the-box Retrieval-Augmented Generation (RAG) pipeline, AI agent runtimes, and drag-and-drop visual workflows into a single system. The platform is optimized for modern AI coding agents like Claude Code, Codex, and Cursor, allowing software development agencies and in-house IT teams to ship AI products or add AI automation to existing infrastructure quickly and cost-effectively without managing fragmented services.
Core Features
Dedicated Postgres database with pgvector, row-level security (RLS), and realtime support
Out-of-the-box RAG pipeline with built-in multimodal OCR, hybrid search, and SOTA rerankers
Agent runtime supporting ReAct orchestrations, multi-turn sessions, and Model Context Protocol (MCP)
Visual drag-and-drop workflow builder with a natural-language AI Copilot design assistant
Flexible deployment options including Powabase managed cloud, self-hosted Docker/Kubernetes, or bring-your-own LLM keys
Popular Use Cases
- Building a legal-document Q&A agent that extracts data from multiple PDFs and streams answers
- Developing automated multi-agent customer support workflows with web search and sandboxed code execution
- Creating an enterprise AI application with isolated, secure database architecture and regional data residency
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
- To use Powabase
- start a project to instantly provision an isolated development stack containing Postgres
- authentication
- object storage
- and an agent runtime. You can then upload documents (PDFs
- images
- URLs) to let the platform automatically extract and index them into the vector database. From there
- define multi-agent orchestrations
- build multi-step automation workflows using the visual drag-and-drop editor or natural-language copilot
- and deploy them as callable HTTP endpoints.
Pricing
Powabase uses a freemium pricing model. Pricing and features may change over time.
Free (Early Access)
$0
Available during early access until June 30, 2026. Includes all platform features, per-project Postgres + pgvector, Auth, Storage, Realtime, document ingestion, multiple retrieval strategies, ReAct agents, MCP servers, and visual workflows.
Enterprise — Managed
Custom Pricing
Hosted on Powabase Cloud. Includes $500 in platform credits to start, production-grade scaling, regional data residency (US, EU), SOC 2 compliance, SSO (SAML/OIDC), audit logs, and priority SLA support.
Enterprise — Private Hosting
Custom Pricing
Single-tenant deployment inside your own VPC or on-prem (AWS, GCP, Azure) using Helm or Compose. Includes $500 in platform credits, air-gapped support, and a dedicated solutions engineer.
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