Your coding agents, supercharged.

Coding agents are powerful.
Give them the whole platform.

Supercharge Codex, Claude Code, or your preferred coding agents with business knowledge, connected data, and integrated infrastructure. From databases and APIs to data pipelines, distributed compute, applications, and permissions—all integrated to help them build sophisticated business software.

UNDERSTAND THE BUSINESS

Context that carries forward.

Your requirements, connected data, discovered relationships, and reusable knowledge.

BUILD THE RIGHT SOFTWARE

Agents equipped to develop.

Real code, researched blueprints, design references, and a choice of coding workflow.

KEEP THE SYSTEM WORKING

A connected production runtime.

Apps, APIs, data processing, databases, schedules, and specialized production agents.

Inside the platform

One project.
The whole working system.

Take a look around a maintenance project, from the data it depends on to the application a team uses.

VPlant operationsProject workspaceAM
OperationsSaved
Flow
How this project fits together
ConnectorPlant systems3 tables publishedReady
Transformprioritize_workRank maintenance workReady
APIget_work_queueServe the daily queueReady
AppMaintenance deskPlan the next shiftReady
Connected resources make dependencies visible.
01 / 05

Connect the work

Keep connectors, tables, functions, agents, and applications together in one project. Follow how resources connect before changing what depends on them.

An interactive illustration of the platform. Sample project and data.

Your business sets the specification

Start with what
your team knows.

Want an MES built around your own processes? Capture the requirements, terminology, rules, and decisions in the project knowledge base. Agents use that context to plan, build, test, and improve the system.

Your requirements, not a prescribed workflow. Describe the system you actually need.
Knowledge that stays with the project. Keep the definitions and rationale available as the software evolves.

A blueprint can help. It is never a prerequisite.

manufacturing-project / context
/context
requirements.md
processes.md
decisions.md

/knowledge-base
terminology.md
production-rules.md
Your requirements

A custom MES for our plant

WORKFLOWOrder → release → build → quality check → complete.
CONSTRAINTOnly schedule a job on a cell qualified for that product family.
ACCEPTANCE CRITERIONA planner can see material readiness before releasing work.
From raw tables to usable context
orders
order_idPK
customer_idtext
promised_datedate
Grain: one row per order
order_lines
line_idPK
order_idFK
part_idtext
Grain: one row per order line
JOIN AT THE RIGHT GRAINorder_lines.part_id↓ match by partinventory.part_idMultiple stock locations.
Aggregate availability first.
inventory
part_idkey
location_idkey
available_qtynumber
Grain: part + stock location
Important context: inventory has multiple locations per part. Aggregate at the right grain before comparing availability to demand.
DISCOVERED KEYS + RELATIONSHIPSknowledge-base/entities/
Illustrative schema. Inspect and refine discovered keys and relationships.
Data understanding

Connecting a table
isn’t the same as
understanding it.

Primary Key and Relationship Agents examine connected datasets to suggest identifiers, record grain, and relationships. Their findings can help seed entity documents in the project knowledge base. People and agents can refine those documents with business terminology and rules, keeping uncertain discoveries distinct from confirmed knowledge.

Identify candidate keys, uniqueness characteristics, and what a row represents.
Discover join columns, cardinality, and match characteristics between datasets.
Analyze the connected data before committing to an approach.
Integration without a closed catalog

Your next system
doesn’t have to
be on a list.

Use documented starting points for 150+ commonly used connectors, or provide the specifications for a different system. Agents can work from extensive vendor documentation — including large PDFs — to implement the connector and synchronization logic.

Extend integrations to the systems your business actually uses.
Connect through the interfaces, credentials, and permissions available to your organization.
Integration development
150+

Commonly used systems

Public documentation and implementation references.

Databases · ERP
SaaS · APIs · Files

Your vendor documentation

API specifications, technical guides, and large PDF manuals.

Authentication
Endpoints · Pagination
Agent-built connector + syncCustom code
Source authenticationExtractSchemaIncremental state
References accelerate implementation. They do not define its limits.
Useful starting knowledge, not rigid templates

Use the head start.
Keep the freedom.

The blueprint and design library combines research into real industry problems with detailed application layouts agents can adapt. It is an input to development, not a fixed set of apps.

Researched blueprint + design reference

Scheduling & changeovers

Sequence production around material availability, machine capability, due dates, and changeover constraints.

DATA & CONTEXTOrders, routings, materials, work centers
SOLUTION APPROACHConstraint model, scenario comparison, schedule workbench
ADAPT TO YOUR BUSINESSYour rules, actual data, and application requirements
Operations workspace

Scheduling & changeovers

Reference layout / illustrative data
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
Build entirely from your own requirements, use a blueprint, or borrow only the pieces that help.See selected solution concepts
Code becomes a connected system

Build the logic.
Vortexify provides the runtime.

Agents and developers create real resources that work together, using familiar technologies instead of a constrained visual builder.

An example operational systemConceptual resource map
Connector + syncSource data
TransformationPrepared tables
Python APIBusiness logic
React appYour workflow
PostgreSQL ↔ application state
Schedules → recurring work
Agent → permitted tools
Managed by VortexifyData access · permissions · compute · execution

Compose the resources your system needs. Not every application needs every component.

Process the data at the right scale.

Pandas and DuckDB for analytical transformations. PySpark when the job calls for distributed processing. Configure compute around the workload.

Connect frontend and backend.

React applications, Python APIs, transform outputs, and PostgreSQL-backed state. Resource access and credentials are managed through the platform.

Operate and keep iterating.

Run scheduled work, inspect job status and logs, test changes, and update existing resources as the application evolves.

Built into the platform

Keep the boundaries clear.

Isolation, permissions, encryption, and audit logs are part of the environment around your applications and agents.

The developer view
Separate boundaries / shared accountability
Browser boundary
Embedded application previewSandboxed iframe

The preview is separated from the surrounding platform interface.

User identity + resource permissions checked at the backend
Execution boundary
Isolated workload Permitted data
Approved connectionUnpermitted resource
Encryption at rest and in transit by default for platform-managed data
01

Access follows the user.

Application access and resource permissions control what a user or agent can work with. Browser sandboxing does not replace backend authorization.

02

Execution has boundaries.

Isolated workloads, managed credentials, and network permissions keep application execution separate from unrestricted infrastructure access.

03

Activity leaves a record.

Audit logs provide a way to review recorded user and agent activity alongside the resources involved.

Illustrative audit entry14:32:08
Resource updated
Actor
Project builder
Resource
order_readiness
Action
Version published

Browser isolation, workload isolation, and data permissions protect different boundaries. Source-system access still depends on the interfaces and permissions available.

Agents in the finished system

Give every agent a specific job.

Define its business context, permitted tools, and analysis capabilities. Put it in an application, delegate a task, or schedule recurring work.

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.

Agents can use deterministic APIs and application logic as tools. Your system can require people to review proposed actions before they are applied.
A foundation you can build on

The next application
doesn’t need to start over.

Reuse connected data, project knowledge, resources, and design patterns. Extend the system deliberately as your priorities change.

Your first system

A custom manufacturing workspace

Orders, materials, work tracking, and the business knowledge behind them.

Quality intelligence
Production planning
Operations agent
Supplier-risk analysis
Your next system

Start with your requirements.

A custom MES, a planning application, or something specific to your business. The starting point is yours.

Build independentlyBuild togetherExpand over time