The Operating System for Collaborative Autonomy
Redefining In-Space Transportation and Services for a Sustainable Future.
The Problem: An Outdated Model for a New Space Economy
The entire lifecycle of developing and operating collaborative space missions is broken. The tools and processes are stuck in a single-player past, unable to support the multi-agent, multi-vendor future the market demands.
Fragmented Lifecycle & Compounded Risk
Missions are developed in disconnected silos – design, simulation, testing, and operations. This linear process means unforeseen risks and costly integration failures only emerge late in development, or catastrophically, in orbit.
Wasted Development Cycles
Up to 70% of a mission’s software development timeline is consumed by painstaking ground-based Verification and Validation. This disproportionate effort on testing, rather than innovation, is the single biggest brake on progress.
No Common Operating Framework
The future of space is collaborative, yet the entire operational stack – from simulation to mission control – is built for a single operator. There is no “Operating System” for different companies to safely co-develop and operate their autonomous systems.
Hardware Outlives Its Software by a Decade
A satellite’s hardware is built to last 15+ years, but its software capabilities are effectively frozen at launch. This creates “stranded assets” in orbit – valuable hardware that cannot be upgraded to adapt to new market demands or incorporate the latest AI advancements.
The Industry’s Flawed Answer
The current buzzword – the “Digital Twin” – isn’t the solution. It’s just a mirror.
Real Asset
Digital Twin (a simple mirror)
A standard Digital Twin is a passive replica. It can show you what your asset is doing right now, but it offers no insight into what it could do. This is a critical failure for an industry moving towards intelligent, autonomous systems.
It Can’t Learn
It reflects the current state, not future potential. It cannot predict the complex, emergent behaviors that arise when multiple autonomous systems from different operators interact in a shared environment.
It Can’t Train Intelligence
It cannot be used as a dynamic “sparring partner” to safely develop, test, and validate the next generation of collaborative, AI-driven autonomy before it’s deployed to high-value flight hardware.
It Can’t De-Risk the Future
You can’t use a mirror to test how your current, in-orbit hardware will perform with 2028-era software. You are forced to develop future capabilities in the dark, leading back to the same slow and risky V&V cycle.
Our Solution: From a Mirror to a Flight Simulator
We’ve created the NextGen Twin: a true training ground for spacecraft, powered by our proprietary Hybrid Loop framework.
The Hybrid Loop: A Revolution in Mission Development
Physical Asset
A real spacecraft operates in orbit, generating live telemetry and sensor data from its environment.
Real Data In
This data is fed in real-time to its intelligent virtual counterpart on the ground via our secure data pipeline.
Validated Commands Out
The Twin sends validated, enhanced command sequences back, allowing the physical hardware to perform tasks far beyond its original programming.
The NextGen Twin
Injected with future software and AI, the Twin runs thousands of advanced scenarios to learn, optimize, and validate complex collaborative behaviors.
Result: Reduce V&V cycles from years to months (in some cases decades to years), validate future missions on current hardware, and safely deploy collaborative AI.
The Product: Proxima OS
Proxima is the foundational software that enables the Hybrid Loop. It is a first-of-its-kind Operating System for Collaborative Autonomy, composed of two core components.
Crucially, Proxima enables the NextGen Twin’s decoupled intelligence, creating a sandbox where future capabilities can be safely developed and validated on today’s hardware. It allows operators to run millions of “what-if” scenarios, training AI models and de-risking complex, multi-agent missions before a single command is sent to orbit.
1. Real-time Environment Modeler (REM)
The powerful, ground-based “world engine,” co-developed with Telespazio. The REM is a high-fidelity simulation environment where NextGen Twins of multiple spacecraft from different operators can live, interact, and co-validate complex missions in a shared, physics-accurate virtual space.
2. Agent Runtime and Shared Intelligence ISL
A lightweight, flight-ready software package that runs on each spacecraft. It’s the “node” of the OS, acting as a universal adapter. It allows any compatible hardware to securely plug into the Proxima network via Shared Intelligence Inter-Satellite Link (ISL), enabling true multi-vendor interoperability.
Business Model and Go-to-Market
A scalable SaaS model with a clear, two-phase strategy for acquiring high-value enterprise customers.
How We Make Money
1. Professional Services (Initial Revenue)
Paid engagements to develop bespoke NextGen Twins and integrate customer assets into the Proxima ecosystem. This high-value service solves an immediate pain point and drives initial customer adoption and validation.
2. SaaS Subscriptions (Recurring Revenue)
A tiered licensing model for the Proxima platform, creating a scalable and high-margin recurring revenue stream as customers move from development to operations.
- Pilot/Basic: €5k – €15k/year (Access for single-agent simulation)
- Pro/Standard: €20k – €50k/year (Multi-agent simulation and basic collaboration tools)
- Enterprise/Custom: €60k – €150k+/year (Full ecosystem access, hybrid-loop integration)
Go-to-Market Strategy
Phase 1: Land and Validate (Years 1-2)
Focus on our established European network. We will convert our existing high-level partnerships (ESA, PIAP Space, Telespazio) into flagship commercial accounts for paid professional services, proving our value and building case studies.
Phase 2: Expand and Scale (Years 3+)
Leverage our initial successes to target commercial satellite operators, prime manufacturers, and defense agencies globally. We will drive adoption of our recurring SaaS model, establishing Proxima as the industry standard.
Traction and Unparalleled Market Validation
We are moving from foundational research leadership to tangible commercial demand.
We Wrote the Rulebook (ESA)
Served as Prime Contractor for ESA’s ‘InSPoC-3’ study, authoring the foundational blueprint for multi-agent space logistics. This gives us unparalleled credibility and a deep understanding of the market’s future needs.
Commercial PULL (RAVEN Mission)
Our ESA leadership led directly to a commercial engagement to develop Proxima’s core Agent Runtime and ISL for the flagship European RAVEN mission with PIAP Space, our first key commercial validation.
Strategic Sales Channel (Telespazio)
Our multi-year collaboration has evolved into a strategic partnership to co-develop our core simulation engine (REM), accelerating our path to commercialization and providing direct access to defense and institutional markets.
Market Opportunity
We are enabling a €8.5B+ software market that is growing at nearly 40% annually.
TAM: Total Addressable Market
€58B+
Global In-Space Economy and ISAM by 2030
SAM: Serviceable Available Market
€8.5B+
Advanced Space Simulation and Digital Twin SaaS by 2030
SOM: Serviceable Obtainable Market
€500M+
Near-Term European Market Share
SAM Growth Forecast (USD Billions) at 37.5% CAGR
Competitive Edge
We are creating a new category: The Operating System for Collaboration.
High-Level / Single-System
Incumbents
Tools like Siemens NX and Ansys STK are powerful for designing and planning missions for a single company’s assets. They are not built for dynamic, multi-company operations.
High-Level / Multi-Agent Ecosystem
The Unoccupied Strategic Gap
This is where we sit. Proxima provides the high-level mission orchestration and collaborative intelligence layer that the market currently lacks.
Low-Level / Single-System
Foundational Tech
Companies like BlackBerry QNX provide the safety-critical OS for a single piece of hardware. It’s the rules for one agent, not the brain for a fleet.
Low-Level / Multi-Agent Ecosystem
Foundational Enablers
NVIDIA provides the “engine” for physics simulation. They are essential building blocks and potential partners, not competitors. We are the “brain” that orchestrates the mission.
| Capability | Incumbents (Ansys STK, Dassault) |
Specialized Simulators (GMAT, EcosimPro) |
Direct Competitors (NeuralAgent AI) |
Proxima (Space scAvengers) |
|---|---|---|---|---|
| Multi-Agent / Ecosystem Focus | ✗ | |||
| Real-time Operational Platform | ✗ | ✗ | ||
| “Hybrid Autonomy” Development Model | ✗ | ✗ | ✗ | |
| Multi-Producer Cooperation / Marketplace | ✗ |
Financial Projections
A clear, capital-efficient path to profitability within 3 years, based on secured interest and a strong pipeline.
Projected Revenue and Profitability (EUR)
Initial revenue is driven by high-value professional services (pilots), converting to high-margin, recurring SaaS licenses in Year 3.
The Ask and Use of Funds
Seeking €500k to deliver on our first commercial contracts and launch our MVP.
Use of Funds
Funding Ask: €500,000 Seed Round
This investment provides a 24-month runway to achieve three critical, value-inflecting milestones:
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1
Deliver on RAVEN: Secure our first major commercial reference by finalizing and delivering the Proxima Agent Runtime.
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2
Launch the Proxima MVP: Complete core development with Telespazio and launch the MVP of the Proxima OS platform.
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3
Secure 3-5 Commercial Pilots: Convert ongoing conversations into paid pilot programs, building our sales pipeline.
The Team
The Architects of Collaborative Autonomy.
Tomas Balog, PhD
CEO (Architecture and Vision)
With a PhD from CERN, Tomas brings world-class expertise in designing and managing large-scale, complex distributed systems. He is the visionary behind the Proxima OS.
Michal Mlaticek
CIO (Multi-Agent Systems and AI)
The lead architect of our core AI. His background in robotics and pioneering work in agent-based intelligence is the “secret sauce” of our technology.
Marek Gebura
CTO (Mission and Market)
A seasoned space mission analyst, Marek grounds our deep-tech in the unforgiving realities of space operations, ensuring our product solves real-world problems.