Akilaris
Mission
Control
53.0793 N
8.8017 E
Assess risk systematically.
Physics-informed models support conjunction assessment while surfacing data quality, assumptions and remaining uncertainty.
The Intelligence Layer
for the Space Industry
AI-enabled space intelligence and traceable decision support for satellite operations.
Akilaris develops technology that helps teams assess orbital risk, compare options and make traceable decisions. Our focus is collision avoidance, responsible automation and keeping people in operational control.
Space is GettingDangerously Crowded
As constellations grow, teams have more conjunction data and potential events to assess. Automation can support triage and analysis, but its outputs must remain traceable and reviewable. People retain operational authority over consequential decisions.
AI-PoweredCollision Avoidance
Decision support for European and international satellite operations
Seamless Integration
API-oriented interfaces are intended for integration into existing mission and safety processes. The exact scope is agreed and validated for each project.
AI-Driven Analysis
Machine-learning and physics-informed methods for analysing TLE data and CDMs, with uncertainty, provenance and reviewable intermediate results.
Zero Debris Alignment
Designed with recognised European objectives and relevant debris-mitigation standards in mind. Applicable requirements are assessed per project.
Continuous Learning
Validated operator feedback can inform evaluations and improvements. Changes are reviewed and versioned before entering operational workflows.
Multi-AgentAI Architecture
Specialised components supporting data preparation, risk assessment and comparison of potential avoidance strategies
Digital Twin Environment
A virtual representation of an orbital environment for what-if analysis and manoeuvre simulation. Currency and accuracy depend on supplied data and validation.
Multi-Agent Orchestration
Specialized AI agents for data processing, risk assessment, and maneuver optimization. Event-driven message-passing system for parallel conjunction assessments.
Adaptive Learning Pipeline
Evaluation and learning workflows for validated events, error patterns and operator feedback, with versioning and approval steps.
See Akilaris in Action
A visual look at our development direction and possible workflows
Platform Capabilities
Development areas for responsible space intelligence
Real-time Monitoring
Preparation of timely satellite and conjunction data for structured operational assessment.
Global Coverage
Combining suitable public and project-specific data sources for an agreed mission scope.
AI Analytics
Physics- and data-informed models support forecasts while making uncertainty visible.
Secure Infrastructure
Encryption, access controls and traceable security processes are designed according to project risk.
Data Processing
Modular data pipelines for catalogue, ephemeris and conjunction data; scope and performance are validated per project.
Predictive Insights
Decision support for orbital patterns and collision risk with transparent assumptions.
Traceable processes
Documentation, roles, approvals and audit trails can be adapted to project-specific requirements.
Inside the Platform
Prototypes and development views for space-intelligence workflows




Orbital Coverage Zones
Track satellites across all orbital altitudes
LEO Satellites
160-2,000 km
Low Earth Orbit
MEO Satellites
2,000-35,786 km
Medium Earth Orbit
GEO Satellites
35,786 km
Geostationary Orbit
From the Media Library
Brand films, interviews and event highlights, follow the mission as it happens
Build the Intelligence Layer
for a Crowded Orbit
Full-time roles, working student positions, internships and thesis projects in Bremen, Europe's City of Space.
Ecosystem and support
Programmes and networks in whose environment Akilaris works or has received support



Would you like to discuss a concrete use case?
Talk to us about requirements, available data, validation and a realistic project scope
Explore the Universe
Explore an interactive visualisation and see how simulation can help communicate complex space data.


