Run the work.
Forms, approvals, order fulfillment, and fully custom operational systems.
Schedule your team. Understand late orders. Explain costs. Vortexify uses AI to build custom applications around your data, business rules, and the way your team works.
Not just a suggested answer. Software your team can use, review, and improve.
Build with your preferred coding agents, your team, or oursAvailability, leave, qualifications, and rest rules.
Check coverage. Compare options. Explain assignments.
Components, reservations, supplier dates, and commitments.
Find the missing part. Trace its impact. Review the response.
Ledger postings, approved budgets, and reporting definitions.
Calculate variances. Inspect evidence. Review the reporting pack.
Start with the installation instructions. Set up the CLI and SDKs, read the project context, and use the documentation as you build with Vortexify.
Browse the agent documentation indexStart with the problem. Build the combination of software and intelligence it needs.
Forms, approvals, order fulfillment, and fully custom operational systems.
Performance analytics, root-cause analysis, and a clearer view of operations.
Forecasts, schedulers, solvers, and scenarios built around your constraints.
Specialized assistants and recurring tasks that produce work your team can review.
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.
A useful starting point, based on the information provided in that conversation.
Connected availability, a defined scheduling model, reviewable exceptions, an interactive calendar, and an agent that can explain the results.
AI helps build and explain the software. Defined business logic handles the calculations and constraints.
Your requirements, terminology, business rules, and connected data become reusable project context. Data discovery helps agents understand primary keys, table grain, and relationships — not just column names.
See how context becomes softwareReal operational problems, requirements, and solution approaches. Adapt the research, not your business.
Rich layouts and reusable interaction patterns give agents more to work with than a generic dashboard.
Documented systems, or your own API specifications and large PDF manuals. A starting point, not a closed list.
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 resultCreate specialized production agents with their own business context, tools, and responsibilities.
Part B-204 / next seven days
Give it relevant business knowledge, analysis capabilities, and tools for the specific workflow. Ask questions in the context of the work.
Three exceptions, their downstream impact, and suggested next actions.
Run investigations and recurring analyses outside a chat session. Bring reports, findings, and recommendations back for human review.
A monthly report. A production plan. An order at risk. Build the combination of data, logic, workflows, and agents each problem needs.
Bring ledgers, business definitions, and commentary into a consistent monthly reporting workflow.
Explore solutionSequence material-ready jobs around capacity, changeovers, skills, and delivery commitments.
Explore solutionSee which orders a missing component affects, then compare purchasing and allocation actions.
Explore solutionExamples of custom software you can build — not off-the-shelf apps. Your requirements define the implementation.
Bring your requirements, explore a blueprint, or work with our team. Build the software that fits the way you operate.