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.
Decision Support
for Satellite Operations
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. Automation remains clearly bounded, while authorised people retain operational authority.
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-EnabledRisk Analysis
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.
ModularSoftware Architecture
Separable components supporting data preparation, risk assessment, review and comparison of potential options
Scenario & System Models
Bounded models for what-if analysis and scenario comparison. Their value and validity depend on the data, assumptions and validation for the intended purpose.
Decision Workflows
Structured hand-offs between data processing, analysis, expert review and approval, with clear roles and traceable states.
Evaluation & 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
Technology Building Blocks
Development areas for traceable decision support
Timely Data Preparation
Preparation of timely satellite and conjunction data for structured operational assessment.
Multiple Data Sources
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.
Risk Context
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.