Powabase
Powabase is an all-in-one AI development platform that replaces fragmented infrastructure (vector DBs, agent frameworks, workflow engines) with a single, unified REST API.
At a Glance
- AI Development Agencies
- IT Departments
- Enterprise Software Teams
AI Tools by Powabase
(1)
Powabase
Backend for AI Apps
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Latest News
Powabase launches on Product Hunt as a unified backend for AI development.
Forum Ventures announces Spring 2026 cohort including Powabase.
Products & Services
Managed all-in-one AI backend platform providing Postgres, RAG, agents, and workflows via a single API.
Single-tenant deployment of the Powabase stack inside a customer's own cloud (VPC) or data center.
Market Position
Positions as the 'Supabase for AI Agents', focusing on eliminating infrastructure fragmentation and reducing 'infra glue' code.
Leadership
Founders
Hunter Zhao
MIT graduate; Founder of multiple generative AI companies including GPT-trainer, Copilot365, and GPT DAO; Previously ran an AI development shop building 100+ production AI applications.
Tony Zhang
Founding team member at Powabase.
Xin Chen
Founding team member at Powabase.
Michael T. Chang
Founding team member at Powabase.
Executive Team
Hunter Zhao
Co-founder & CEO
MIT graduate and serial genAI founder (GPT-trainer, Copilot365).
Angela Wang
Enterprise Sales Director
Leads enterprise sales and customer success at Powabase.
Board of Directors
Founding Story
Founder Hunter Zhao and his team built over 100 production AI apps and realized that 'infra glue' code was the primary bottleneck. They built Powabase to unify the AI-native stack into one platform.
Business Model
Revenue Model
Subscription-based Managed Cloud (SaaS) and Enterprise licensing for private hosting.
Pricing Tiers
Access to all platform features including per-project Postgres, Auth, Storage, RAG, and Agents during early access.
Procurement-ready terms, $500 platform credits, regional data residency, SOC 2, and SSO.
Deploy on AWS, GCP, Azure, or on-prem; air-gapped installation support.
Target Markets
- AI Development Agencies
- IT Departments
- Enterprise Software Teams
- Building robust, token-efficient AI applications
- Document-heavy enterprise automation
- Multi-agent AI workflows for finance, insurance, and government
- Replacing fragmented AI infrastructure stacks
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