Production-like databases spun up in seconds
Give developers and coding agents writable environments with no risk to prod
Your infrastructure wasn't built for agentic development
Cost multiplies fast
A single developer may run dozens of agent-driven workflows. As teams scale, dedicated databases for every developer and preview environment can quickly become one of the largest infrastructure costs.
Slow to provision
AI agents move in seconds. Database provisioning can't keep up. Traditional approaches take minutes to hours, creating a bottleneck for development.
Agents need room to work
Coding agents need isolated databases where they can write, break, and retry on real data - without sharing environments or risking production.
From Storm to Signal
Baseshift Dubhub
Managed smart database clones which are fast, cheap, compliant, and auditable. Every team member can independently access their own up-to-date, anonymized clone for any use case.
Baseshift Guard
Baseshift Guard identifies issues before they reach production, equips developers and AI coding agents with guardrails for safe, rapid development, and streamlines workflows for DBAs, security, and compliance.
Everything your team needs to ship faster, safer.
Instant masked clones
Fresh, anonymized copies of your database, spun up in seconds. Fully auditable so you stay compliant.
Built for scale
Support every developer, coding agent, and preview environment without multiplying database infrastructure cost. No shared staging, no conflicts, no waiting in line.
Multi DB environments
Not just PostgreSQL, manage snapshots across multiple databases with consistent data masking.
AI-safe development
Catches breaking schema changes and risky queries before they reach production.
Understand changes
Inspect the actual SQL hitting your database, whatever ORM or framework generated it.
Deploy anywhere
Run clones locally, connect remotely, or deploy in your own Kubernetes environment. Distribute masked snapshots across accounts, regions, or VPCs with ease.
Trusted by developers
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Works with the databases you already run
