Space
We are an AI company applying our core competence to the orbital economy — using AI to design the systems, run the fleets, and operate the infrastructure that makes orbital industry possible at scale. Project Talos is our integrating programme.
Our Approach
The orbital economy of the 2030s and 2040s — depots, in-space construction, sustained crewed habitation, Mars-bound logistics — depends on infrastructure that doesn't yet exist at the price points or scale the market needs. Building it requires AI throughout the stack: in the engineering loops that design the systems, in the autonomy that runs the launch facility, in the operations stack that manages thousands of satellites and dozens of orbital robots, and in the systems engineering that integrates the whole platform.
DAIDALUS Space concentrates on the technology families where AI is the difference between feasible and infeasible — and where the underlying physics and engineering have a credible path to operational maturity within the next decade. The integrated programme that brings them together is described in Project Talos and the accompanying report; this page covers the focus areas at a high level.
Why Now
Three things have just come into alignment that make this the right decade to commit:
- AI capability has crossed thresholds in design automation, autonomous control, computer vision, and simulation that compress decades of orbital systems engineering into single-digit years.
- Enabling physics is settled. The hard architectural questions in side-injection launch, rotating habitats, and orbital assembly have closed in the last few years — what remains is engineering execution, which AI accelerates dramatically.
- Heavy-lift cargo cadence is arriving. Starship-class commercial cadence in the late 2020s creates the market predicate for the supply-side technologies we work on.
We don't spread effort across every orbital-tech domain. We focus on the layers where AI compounds the value of the underlying engineering — and where each layer's output is another layer's input.
Technology Focus Areas
Five domains where DAIDALUS Space applies AI to the enabling-technology stack. The integrated programme that ties them together is detailed in Project Talos.
AI-Driven Systems Engineering
We use AI throughout the engineering loop — concept exploration, simulation, optimisation, design verification — to compress the development cycles for novel launch and orbital systems from decades to years. This is where our core competence as an AI company translates most directly into orbital-engineering speed.
Hypersonic Launch Systems
The engineering and operations of a fundamentally new class of launch infrastructure — one that breaks the velocity limits that have constrained gun-based launch for decades. We work on the materials, the control architecture, and the AI systems that orchestrate cadence at industrial scale.
Autonomous Satellite Operations
AI-operated satellite constellations — fleet-wide health monitoring, autonomous anomaly response, dynamic payload tasking, continuous tech-refresh planning. The same AI competence that orchestrates the launch facility extends to the spacecraft it deploys.
Autonomous In-Orbit Robotics
Multi-arm assembly drones and in-orbit logistics vehicles — the autonomy stacks that turn launched mass into installed infrastructure without crew on every operation. AI vision, planning, and manipulation systems doing the work that orbital construction at scale requires.
Large-Scale Habitat Engineering
The systems-engineering work for orbital habitats at a scale that requires AI-supervised operations — life support, partial-gravity systems, integrated crew + drone workflows, multi-tenant facility management. The infrastructure layer for sustained human presence in orbit.
Where These Capabilities Apply
The five focus areas compound when assembled together. The integrating programme is Project Talos, but each capability also has standalone applications.
The Orbital Propellant + Depot Pipeline
AI-driven launch operations supplying the bulk consumables (propellant, water, methane) that the maturing depot-and-tug economy depends on. The supply-side technology beneath the in-space mobility tier being built by SpaceX, Impulse Space and others.
Autonomous In-Space Construction & Servicing
AI-operated assembly drones and logistics vehicles turning launched mass into installed orbital infrastructure — depot expansions, habitat exoskeletons, solar platforms, satellite servicing, active debris removal. The autonomy that makes orbital construction routine.
Long-Duration Crewed Habitation
Partial-gravity habitats at scales that require AI-supervised operations — integrated crew + autonomous-drone workflows, multi-tenant facility management, predictive maintenance. The orbital infrastructure for the 2040s–2050s settlement era.