The Post-App operating system that just works.
Aside from games, social media, and other "platforms", do you really want an app or agent for everything?
Obviously not. You want a single system that can handle any problem you have, and "you want it to just work"— Eric Schmidt
Navigate between specialized applications that force you into a workflow to accomplish a specific task.
Interact with a unified, living system that has all the capabilities you need, and works the way you want it to.
It all starts with a Matrix. In simple terms, a Matrix is a structured package of capabilities (similar to a software package in your favorite programming language). You can install a Matrix into your workspace directly, or even teach the system new capabilities through conversation.
Leveraging the natural relationships between your capabilities and processes through their interactions, Matrix creates a connected, executable operating model that becomes the source code for your AI.
You control the identity and access policies that dictate what can be done, who can do it, and when they can do it.
Just-in-time activation of capabilities allows Matrix to transform into the specialized system you need, at the time you need it.
An internal telemetry and provenance system gives you full transparency into how something was executed, the changes that were made, or even the changes that are going to be made.
Matrix can take a complex goal and project the changes of multi-step interactions across multiple systems of record—all before it actually commits the changes. This precognitive ability lets Matrix understand the potential impact of its actions, allowing it to experiment with different approaches to find an optimal solution.
If you're already using AI tools, you may be asking yourself: How is this different from previous generation AI solutions?
AI has completely changed how we build, but we are still building the same experience, the same UIs, the same integrations, and worst of all, we are still building for human-like execution.
Language models are trained to reason over unstructured information, but when it comes time to take action, the agent still needs to invoke a deterministic system that calls an API, or asks for approval, etc..
The gap between the unstructured reasoning of agents and the deterministic logic of our code prevents our systems from planning interdependent actions without first going back to the agent for interpretation.
Agentic AI solves the problem of "emergent autonomy", but is limited by stateless, ReActive architectures.
What if there was a system that could apply ProActive reasoning in a stateful, deterministic execution environment, and close the gap between unstructured reasoning and structured execution?
Connected to your managed capabilities and leveraging your existing data services (no need for MCP!), what if it could truly plan, weave agentic and deterministic actions, debug itself while it's running, or even learn new things on the fly?
It didn't exist.
So we built it.
Matrix is a NeuroSymbolic application layer that writes, executes, debugs, and heals itself.
This fragmentation doesn't just create “busy work”, it creates a ceiling on what you can do with AI.
You may be familiar with Conway's Law, but we have a slightly different take.
"Any organization that designs a system (defined broadly) will produce a design whose structure is a copy of the organization's communication structure."
"Any organization that designs a system (defined broadly) will produce a design whose structure reinforces the organization's communication structure."
In 2026, your business strategy is your technology strategy. Disconnected systems aren't just slowing you down, they're dragging you down.
Historically, we built software for humans to navigate, not for systems to execute. This created a world of "boxes" that fragmented our digital capabilities into arbitrary silos.
Most organizations pay for the same capability five times. You have "Contact Management" in your CRM, your Marketing tool, your Support desk, your ERP, and your Billing system. Because these capabilities are trapped inside different "apps," you are forced to manage five different versions of the same truth.
Every application speaks a different language.
This isn't just a naming issue—it's a translation crisis.
When systems are disconnected, the "integration" becomes the product. You spend millions building brittle API bridges just to get two apps to talk to each other. These bridges are fragile; the moment one app updates its schema, the bridge breaks.
Previous generation Agentic AI solutions don't solve this—they make it worse.
Your agents are suffering from the same communication problems as your organization.
Current AI solutions use an LLM as the primary interoperability layer between systems. You're asking a probabilistic engine to perform deterministic integration tasks—a fragile foundation where 'logic' is just a best guess.
Agentic AI today inherently lacks alignment with your operational goals, and multi-agent chatter further degrades the communication channels in your organization. Why should your business units need to negotiate for their desired outcomes? We're all on the same team.
Current tools are black boxes. They lack native means to easily control, explain, or audit what's happening inside.
Token inefficiency, agent sprawl, governance gaps, and development friction create significant operational debt that slows down time-to-value.
Your connected operating model becomes the source code for your AI.
Holarchical efficiency
Where your current systems reinforce your disconnected organization, Matrix forces your operations into an efficient holarchy of aligned business domains.
Most AI agents try to bridge the gap between you and your disconnected software. Matrix removes the gap by treating your business logic as the primary interoperability layer.
When you express intent—"Optimize Q1 inventory for new shipping constraints"—the engine doesn't look for an "Inventory App." It automatically activates the relevant logic from your Supply Chain, Logistics, and Finance Matrices and composes them into a single execution context.
Our engine doesn't just "talk" to your systems; it terraforms the environment required to solve the problem at hand. For the duration of a task, Matrix becomes the specialized system itself. It hasn't connected to a tool; it has transformed into one.
In Matrix, capabilities are composed just-in-time and "dissolve" once the task is complete—but your data remains safely in your systems of record. You aren't managing a bloated portfolio of software; you are governing a library of capabilities that operate on persistent, canonical data.
Your data stays where it belongs. Matrix isn't another database or data lake—it's a canonical operating model that reads from and writes to your existing systems of record.
To understand the power of Matrix, look at a standard CRM. Historically, you bought a CRM as a permanent, rigid "box." But a CRM isn't a single thing—it's just a collection of capabilities:
You pay for the container. If you want to use your "Contact Management" capability for a different project, you have to buy a second app (like an ERP or Project Management tool) and build a brittle integration to "bridge" them.
You are paying for the same logic twice, trapped in two different boxes.
You define the capability once.
When executing a CRM workflow, Matrix activates and orchestrates these capabilities as needed. If you suddenly need a Project Management tool, those same capabilities are simply applied in new ways to support unique workflows.
Take back your operational independence.
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Forget apps. What is the first thing you want to accomplish?