Neon Inc.
Neon builds cloud/backend primitives—serverless Postgres (with separated storage and compute), and increasingly authentication, storage, functions and AI capabilities—for developers and AI agents to build scalable, dependable services faster.
At a Glance
- Individual developers and hobbyists
- Startups and SaaS companies
- AI application and agent builders
- Developer platforms and cloud platforms
- +2 more
AI Tools by Neon Inc.
(2)
Neon
Serverless Postgres Backend Platform
Neon MCP Server
MCP Server for Neon Postgres
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Latest News
BM25 is only as good as your tokens: Neon/Lakebase Search product update for keyword retrieval
Neon Free plan storage increased to 1 GB per project while retaining 100 projects
Neon published its systematic reliability improvements after two incidents earlier in the year
Neon backend generally available with branchable database, storage, auth and other backend primitives
Products & Services
Managed, open-source-compatible Postgres with independent storage and compute scaling, scale-to-zero, autoscaling, high availability and database branching.
HTTP API for querying and mutating Postgres data; authorization is governed by PostgreSQL grants and row-level security.
Authentication/backend capability integrated with Neon projects and branchable application backends.
S3-compatible object storage integrated into the Neon backend and available across branches.
Market Position
Neon positions itself as a developer-first, open-source-compatible alternative to traditional managed Postgres and AWS Aurora Postgres. Its differentiation is serverless operation, storage/compute separation, scale-to-zero, copy-on-write branching and API-first provisioning; after acquisition, it also serves as Databricks' developer/AI application backend and Lakebase Postgres foundation.
Leadership
Founders
Nikita Shamgunov
Co-founder and CEO; systems/database engineer who previously worked at Microsoft and Facebook and co-founded MemSQL (now SingleStore), where he served as CTO and CEO.
Heikki Linnakangas
Co-founder and technical leader; a long-time PostgreSQL contributor and database engineer, recruited to Neon for his deep Postgres expertise.
Stas Kelvich
Co-founder and database/Postgres engineer; recruited alongside Heikki Linnakangas to build Neon's re-architected Postgres storage engine.
Executive Team
Nikita Shamgunov
Co-founder and Chief Executive Officer
Systems/database engineer; previously at Microsoft and Facebook and co-founder/CTO/CEO of MemSQL (now SingleStore).
Board of Directors
Founding Story
The founders believed database foundations were designed for an earlier era and that Postgres would become the de facto application database. They set out to create a developer-first, serverless Postgres that could provision in seconds, automatically scale with load, and support instant isolated branching/forking; the resulting architecture separates storage from compute.
Business Model
Revenue Model
Usage-based cloud subscription: customers pay for database compute (CU-hours), storage, network transfer and add-ons such as object storage, functions and AI Gateway; paid Launch, Scale, Agent and Enterprise plans supplement a free tier.
Pricing Tiers
100 projects; as of October 2026, 1 GB Postgres storage per project and 100 CU-hours per project per month; compute scales to zero when idle.
Paid plan for production workloads with team features and up to 1 million monthly active users for relevant backend capabilities.
Higher-scale production plan with usage-based compute, storage and support features.
Custom pricing, 99.95% uptime SLA and 24/7 priority support.
Target Markets
- Individual developers and hobbyists
- Startups and SaaS companies
- AI application and agent builders
- Developer platforms and cloud platforms
- Mid-market and enterprise engineering teams
- Companies in software, technology, media and other industries building web applications
- Application backends and SaaS products
- Development, testing, CI/CD and ephemeral preview environments
- AI-native applications and agent-created databases
- Vector search, RAG and embedding workloads
- Platforms that provision Postgres for their own users
- Startups and enterprise production workloads
- OpenAI
- Adobe
- Boston Consulting Group
- Replit