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title: pgEdge Announces pgEdge Starfleet, a New Postgres Cloud...
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# pgEdge Announces pgEdge Starfleet, a New Postgres Cloud Platform to Bridge the AI Prototype to Production Chasm

**[SD Times](https://daily.dev/sources/sdtimes)** · 5 min read · 0 upvotes · 0 comments

## Summary

pgEdge launched Starfleet, a new Postgres cloud database platform aimed at closing the gap between AI prototypes and production deployments. It bundles an agentic AI toolkit (MCP server, RAG API via pgvector, PostgREST API), copy-on-write database branching, flexible deployment (pgEdge Cloud, customer cloud, or on-premises/air-gapped), secure-by-default settings with IP allowlisting and SafeSession, and multi-region scalability. It runs on 100% open source Postgres, starts free with no credit card, and paid plans begin at $25/month. A 14-day free trial is available now.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://sdtimes.com/database/pgedge-announces-pgedge-starfleet-a-new-postgres-cloud-platform-to-bridge-the-ai-prototype-to-production-chasm>

## Questions this post answers

### What is pgEdge Starfleet and what does it offer for AI application development?

pgEdge Starfleet is a Postgres cloud database platform designed to bridge the gap between AI prototypes and production. It includes an agentic AI toolkit with a full MCP server for tools like Claude Code, Cursor, and Replit, a RAG API using pgvector, a PostgREST API server, copy-on-write database branching, and flexible deployment across pgEdge Cloud, customer cloud, or on-premises including air-gapped environments. Plans start at $25/month after a free trial.

_Developers choosing infrastructure for agentic AI apps can track new Postgres platform launches like this on daily.dev._

### How does pgEdge Starfleet support database branching for agentic AI workflows?

pgEdge Starfleet provides true copy-on-write database branching without replacing the underlying Postgres storage layer with a proprietary one. This lets teams run parallel agentic experiments, maintain separate development, testing, and staging databases, or align database branches with GitHub source code branches, all while remaining on standard Postgres.

_Teams evaluating database branching approaches for AI experimentation can follow platform comparisons like this on daily.dev._

### What percentage of enterprise AI prototypes actually reach production according to IDC and Lenovo research?

Only 46% of general AI and agentic AI prototypes reach production, according to IDC and Lenovo research cited in the pgEdge Starfleet announcement. The same research found that 82% of organizations need hybrid or on-premises environments for AI workload deployment, a gap pgEdge Starfleet is positioned to address with flexible deployment options.

_Engineers weighing why AI prototypes stall before production can follow infrastructure trends like this on daily.dev._

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---

Tags: [#postgresql](https://daily.dev/tags/postgresql), [#mcp](https://daily.dev/tags/mcp), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/pgedge-announces-pgedge-starfleet-a-new-postgres-cloud-platform-to-bridge-the-ai-prototype-to-produ-oolgcflhj)

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