The Operating System
for Physical Operations
Billions are being spent on robots, drones, and sensors. Nobody is building the intelligence layer that ingests their data, models it, and orchestrates them as one system. Miradoris is that layer.
Hardware is commoditizing. The value is shifting to intelligence.
Every time hardware commoditizes, the value shifts to the data and intelligence layer above it. It happened in cloud computing before Kubernetes. It happened in enterprise data before Palantir. It is happening right now in physical operations, and nobody owns the operating system.
Palantir proved the value of a unified data platform for decision-making. Physical operations is the next frontier.
Projected global robotics market by 2030. Humanoids, drones, and autonomous systems are deploying at scale.
Average number of vendor dashboards at a mid-size facility. No shared operating layer exists today.
Companies building a vendor-neutral orchestration platform for the physical world. The category is open.
From raw data to operational intelligence
Miradoris ingests data from any vendor, maps it into a unified ontology, and turns it into actionable intelligence. Four core modules replace the patchwork of vendor dashboards and manual coordination.
Spatial Ontology
A semantic data model that represents every asset, location, task, and rule in a unified, vendor-neutral schema. The foundation everything else builds on.
Automatic Data Mapping
Ingests data from any vendor format and maps it to the ontology automatically. No manual integration work. New devices connect and classify themselves.
AI-Driven Workflows
Natural language to executable workflow graphs. Operators describe intent, the platform builds and deploys the automation. No code required.
Real-Time Operations
Live map interface with asset tracking, task management, and natural language command execution. One screen for the entire operation.
Why the window is open now
Three forces are converging at the same time: humanoid robots are becoming commercially viable, autonomous drones are already flying at scale, and IoT sensors are everywhere. But the software stack for managing multi-vendor physical operations does not exist. Every major facility operator is solving this problem from scratch with custom integrations and duct tape.
Humanoids are real
Tesla Optimus, Figure, Apptronik, and others are moving from labs to factory floors. No orchestration layer exists for multi-vendor humanoid fleets.
Drones at scale
Beyond visual line of sight waivers are expanding. Enterprise drone programs are growing from single-use to persistent, multi-mission operations.
IoT saturation
Sensors are cheap and ubiquitous. The problem is no longer data collection. It is making sense of the data across vendors and systems.
No incumbent
Palantir built the intelligence layer for government data. Nobody has built it for physical operations. Siemens and Honeywell are locked into their own hardware stacks. The vendor-neutral OS position is open.
Multiple revenue streams, compounding value
Revenue grows with each facility deployed. Every new device connected to the platform increases switching costs and deepens the data moat.
Platform subscription
Annual SaaS license per facility, tiered by number of connected devices and active workflows.
Edge infrastructure
Managed hardware units deployed at customer sites. Recurring revenue for monitoring, maintenance, and lifecycle management.
Professional services
Deployment, onboarding, and custom integration work for enterprise customers with complex environments. Includes onsite technician support for edge infrastructure, device commissioning, and network configuration.
Data mapping connectors
Pre-built connectors for major hardware vendors. New vendor integrations become marketplace-ready assets.
Where we are today
Miradoris is a solo-founder project in its earliest stage. A working prototype exists, market research is ongoing, and industry conversations are shaping the product direction. Investment would accelerate the transition from side project to full-time company.
Solo founder, clear conviction
I started coding at nine. I also spent years immersed in strategy games, simulation tools, and interactive software of every kind. That background shaped a core conviction: enterprise software for physical operations should be as spatially intuitive and responsive as the best real-time interactive systems. Since then I have done a bit of everything: online marketing, CTO and CPO roles, sold software, sold baby products, ran IT services. I have always been building things and figuring out how to bring them to market. The more I studied physical operations, the clearer one thing became: the hardware is getting better every year, but the software that ties it all together barely exists.
Right now, I am building Miradoris alongside other projects, doing market research, and talking to people across energy, logistics, and industrial operations to understand the real pain points. The conviction is strong. Palantir proved that a unified data platform for decision-making is worth over $200B. But in the physical world, there is no intelligence layer. Nobody is building the operating system.
The big companies do not have the flexibility. The startups are chasing easier problems. That leaves the door wide open. I want to build something impactful, and I am looking for investors who see the same opportunity.
The category is forming now
We are looking for investors who understand that the future of physical work runs on software. If you see the same gap we do, we would welcome a conversation.