Describe it. Your agent builds it.
Work in Claude Code, Codex or Cursor. Your agent uses the Vortexify CLI to write the Python, SQL and React, then deploys it.
Ask your coding agent a business question. It builds the application with the Vortexify CLI, and the app runs on Vortexify with your data, your rules and your team's roles.
›Which orders will miss Friday?
Supply agentSO-1044 will miss Friday. Move 40 bearings from SO-1047?
Approved
Supply agentAsks firstStart with the installation instructions and the documentation index.
Setting one up? Paste the setup prompt into Claude Code, Codex or Cursor.
Researched app designs your agents build from.












Work in Claude Code, Codex or Cursor. Your agent uses the Vortexify CLI to write the Python, SQL and React, then deploys it.
Scheduled runs, databases and deployment come with every project. Nothing to set up.
150+ connectors, plus your API specs and vendor manuals. Your agent sees the keys, table grain and relationships.
Isolation, scoped access, encryption and audit logs. Agents reach only the data you authorize.
From a question to a way of working
An AI conversation can help you explore a problem. Your team also needs connected data, explicit rules, usable interfaces, and a dependable place to run the work.
AI helps build and explain the software. Defined business logic handles the calculations and constraints.
Right until something changes. Then you paste the data in again and start over.
Connected availability, a defined scheduling model, reviewable exceptions, an interactive calendar, and an agent that can explain the results.
AI after deployment
Give each agent a job, the context it needs and only the access it should have. It works inside the app and on a schedule, and brings changes back for your approval.
From understanding to execution
Build with Codex, Claude Code, or your preferred development workflow. Create the interfaces, backend logic, data pipelines, and operational agents your application needs.
# Transform body / permitted project inputs
def prepare_readiness(order_lines):
result = order_lines.copy()
result["shortage"] = (
result["required_qty"]
- result["available_qty"]
).clip(lower=0)
return resultSecurity is part of the platform, not an add-on.
Each application and workload runs inside its own boundary.
People and agents reach only the data they are allowed to.
Platform-managed data is encrypted at rest and in transit.
See who changed what, and when.
Build it on your own today, or bring in our engineers to get it into production faster.
Open a workspace, describe the problem, and have a working app the same day.
We scope the problem with you, connect your data and take the app to production. Your team owns and runs it from day one.
A scoped engagement, separate from your platform subscription.