Build faster. Operate smarter.

Turn business problems into software that solves them.

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 ours
Your business question

How do we cover every shift fairly?

Availability, leave, qualifications, and rest rules.

Vortexify builds the system around it
Workforce planning / application exampleInteractive workspace
Illustrative staff roster with day shifts, night shifts, and time offMonTueWedThuFriSatSunTeam ADN-DOffDNTeam BDOffDN-DOffTeam CN-DOffDN-Team DOffDN-DOffDDayNightCoverage + rest rules
A schedule the team can review and change

Check coverage. Compare options. Explain assignments.

Agent assistance, connected to the same data and rules.
Illustrative exampleExplore solution
Built around your requirementsConnected to your systemsManaged execution & securitySee how it works
For your coding agent

Are you an agent?

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 index
Go to installation instructions
What you can build

From a missing workflow
to an entire operating system.

Start with the problem. Build the combination of software and intelligence it needs.

01
Illustrative manufacturing work orders moving through queue, production, and quality checksQueuedWO-104AWO-105BWO-106CIn productionWO-110AWO-111BQuality checkWO-116AWO-117B

Run the work.

Forms, approvals, order fulfillment, and fully custom operational systems.

02
Illustrative Pareto chart of production losses: stops, speed, setup, scrap, and reworkStopsSpeedSetupScrapRework1208040Lost minutesCumulative share

Understand the why.

Performance analytics, root-cause analysis, and a clearer view of operations.

03
Illustrative production schedule by work cell and product family08:0010:0012:0014:0016:00Cell 01Cell 02Cell 03A-104A-108B-202B-118B-120C-412A-110A-116Material-ready workFamily AFamily B

Make the next decision.

Forecasts, schedulers, solvers, and scenarios built around your constraints.

04
An agent completes analysis tasks and produces a supply-risk briefing for human reviewASSIGNED WORKREVIEWABLE OUTPUTInvestigate shortagesDoneCompare alternativesDonePrepare recommendationReadySupply risk briefingReview findingsScheduled task / analysis / human review

Put agents to work.

Specialized assistants and recurring tasks that produce work your team can review.

A custom MES. An ERP extension. An optimization engine. A task-specific agent.
The platform does not prescribe the application.
Explore solution examples
From a question to a way of working

An answer is a start.
A working system goes further.

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 one-time response

A suggested schedule.

A useful starting point, based on the information provided in that conversation.

New availability? Another change? The work still needs a home.
A system built on Vortexify

A scheduling application.

Connected availability, a defined scheduling model, reviewable exceptions, an interactive calendar, and an agent that can explain the results.

Refresh the dataRun the logicReview and act

AI helps build and explain the software. Defined business logic handles the calculations and constraints.

A shared understanding of the business

Project knowledge

REQUIREMENTShow orders ready to start.
BUSINESS RULEReserve stock only after planner approval.
DEFINITIONReadiness is measured per order line.
ordersorder_id PKpromised_date
one to many
order_linesorder_id FKpart_idrequired_qty
Context agents can use to build and analyze.
The difference starts before the code

Agents that understand
more than the prompt.

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 software
Problem research
Data requirements
Solution approach
OPTIONAL HEAD START / 01

Industry-researched blueprints

Real operational problems, requirements, and solution approaches. Adapt the research, not your business.

OPTIONAL HEAD START / 02

Thought-through app designs

Rich layouts and reusable interaction patterns give agents more to work with than a generic dashboard.

150+connector references
+ your vendor documentation
OPTIONAL HEAD START / 03

Integration starting points

Documented systems, or your own API specifications and large PDF manuals. A starting point, not a closed list.

From understanding to execution

Write real software.
Skip the infrastructure
assembly project.

Build with Codex, Claude Code, or your preferred development workflow. Create the interfaces, backend logic, data pipelines, and operational agents your application needs.

Familiar technologies. Python, React, PostgreSQL, Pandas, DuckDB, and PySpark.
A connected runtime. Managed compute, resource access, permissions, and deployment.
Code you can keep improving. Inspect, test, extend, and iterate on the system.
Explore the developer experience
Platform workspaceCodexClaude Code
readiness.pyPython
# 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 result
Data & transformsPostgreSQL / DuckDB
Application logicPython APIs
Team applicationReact + agents
Vortexify managesCompute · access · deployment
Security belongs in the foundation.Explore the controls
IsolationScoped accessEncryptionAudit logs
AI after deployment

The agents that build your software
aren’t the only agents you can build.

Create specialized production agents with their own business context, tools, and responsibilities.

Working alongside your team

Inventory outlook

Part B-204 / next seven days

Replenishment arrives after two orders are due.
Supply planning agent
Why are these orders at risk? What can we change?
Analyzed demand and supply
Both orders depend on B-204. I compared the incoming purchase order with current stock and alternative allocations.

Put an agent inside the application.

Give it relevant business knowledge, analysis capabilities, and tools for the specific workflow. Ask questions in the context of the work.

Working on delegated tasks
Review tomorrow’s supply risksWeekdays / 06:00
Agent-generated reportReady to review

Supply exception briefing

Three exceptions, their downstream impact, and suggested next actions.

Delayed component → customer orders2 affected
Alternative inventory allocationCompare
Purchasing follow-upReview

Delegate the task. Review the work.

Run investigations and recurring analyses outside a chat session. Bring reports, findings, and recommendations back for human review.

Interactive or scheduled. Tailored to the workflow. Connected to the resources you authorize.How production agents work
See what the software can do

Different work.
Connected systems.

A monthly report. A production plan. An order at risk. Build the combination of data, logic, workflows, and agents each problem needs.

Explore all solutions

Examples of custom software you can build — not off-the-shelf apps. Your requirements define the implementation.

Your next system

Start with the business problem.

Bring your requirements, explore a blueprint, or work with our team. Build the software that fits the way you operate.

Build independentlyBuild togetherExpand over time