Autonomous space missions

AIKO research-centered, innovative and futuristic mission is clear: developing algorithms infused with Artificial Intelligence, to increase the autonomy of current space missions.

Artificial Intelligence has entered a new period of scientific relevance.
It's time to leap from the traditional, rigid, Earth-bound space systems to autonomous, sentient ones. Scientific data must be prioritized, telemetry data must be interpreted with improved accuracy, failures must be mitigated, design must be optimized.
AI-based algorithms not only offer increased performances with respect to traditional architectures, but are an enabling technology for advanced mission concepts.

Investor relations

GEMINEA invests in AIKO

Geminea logo

GEMINEA (, Milan-based VC focused on Artificial Intelligence startups, invests in AIKO and in its vision of using AI to enable autonomous space missions. The round is aimed at consolidating the team and the company to achieve a higher level in the technology development. We look forward to a shared path of growth and success!


MiRAGE: Autonomous Operations library

AIKO is currently setting up the Seed Round, targeted at mid 2019. The objectives of the round are to space qualify our technology (it's only software!) and to consolidate company structure.
Things we look for in an investor: smart money, strategy, network.
We put the dream team, the vision, the commitment.
Get in touch: drop us an email.


MiRAGE: Autonomous Operations library

AIKO selected by ESA among the 14 startups invited at the ESA Investment Forum 2019, in Darmstadt, Germany at the European Space Operations Centre ESA/ESOC.
Event information here: EventBrite.

Autonomous operations library

MiRAGE: Autonomous Operations library Co-founded by the European Commission

Enabling e4 autonomy

MiRAGE is an innovative software library to enable fully autonomous space missions, making use of state of the art Artificial Intelligence and is the result of years of research in Mission Autonomy.

The library has been co-funded by the H2020 program SME Instrument.

The Concept

MiRAGE: Autonomous Operations library

MiRAGE operates by analyzing the data made available during the mission (telemetry payload and external data) to generate and update the operations schedule. The satellites become aware, understanding their surroundings, the internal health, and eventual commands provided by the Mission Control Centre. MiRAGE library enables autonomous decisions during a mission, tailored to the needs of the end-users and the mission stakeholders.

Enabled benefits

Benefit: autonomous satellites

Planning and scheduling is a very resource-intensive activity during most of space missions. Performing schedule changes in reaction to unplanned mission events is even more challenging, due to poor predictability of these occurrences, to the necessity of having staff on-site 24/7, and to the quick reaction times requested in order to reduce eventual mission outages.
By shifting the decision-making on-board the satellite, MiRAGE library eliminates the decision-making loop in the Mission Control Centre for all the events that were accounted for during spacecraft development, including failures, events related to mission objectives, or events generated by other elements in a constellation.
Operators still maintain highest priority in commanding the spacecraft: they are now just focusing on more critical decisions that might still require ground intervention.

Benefit: aware satellites

We implement the latest advancements in Artificial Intelligence research to enable awareness on the satellite and to perform event detection. Our AIs are trained with datasets generated on purpose for each feature selected in MiRAGE: failure detection, payload analysis, pattern recognition including novely detection. Moreover, predictions are enabled during the mission: if certain trends are likely to result in a future Out Of Limit alert, our AIs are able to warn operators ahead of time.

Benefit: smart satellites

By using MiRAGE, more complex missions are at reach: tracking features on the surface, activating enhanced acquisition modes, selecting and prioritizing payload downlinked data. The result is increased efficiency, mission objectives are fulfilled sooner, and downlink bandwidth is occupied only with relevant data.

Reducing operations costs

The real, long-term benefit of fully autonomous mission is the reduction of the operations costs. This is particularly important for small satellite missions, where operations costs have been shown not to scale with spacecraft size, and for constellations, where the high number of operators per spacecraft simply cannot be afforded with hundreds, thousands of satellites.

TRL and Compatibility

MiRAGE, currently at TRL 6, is scheduled to reach TRL 7 by end of 2018.


The on-board version is compatible with Linux-based OS, while the ground-based one supports Win/Unix/Mac OS architectures.

Two MiRAGE versions
We believe future space missions will be fully autonomous, and our technology is the enabler.

Interested in seeing MiRAGE live?
Request information or a demonstration tailored on your mission concept.


Advanced Flight Software

Mission specific Command and Data Handling algorithms for E4-level autonomy.
Artificial Intelligence for Mission Replanning, Failure Detection, Isolation and Reconfiguration, Event Detection, Data Selection.

Big Data applications for space missions

Analysis algorithms for Mission Data. Feature Extraction, Image Classification, Pattern Recognition.

Expert Systems for Space Engineering

Employing Case-Based Reasoning to perform System Diagnosis, Design and Decision-Making, Project Planning.


Artificial Intelligence

Artificial Intelligence on embedded platforms

We make of Artificial Intelligence our flagship technology:
- Deep Learning
- Expert Systems
adapting the technology to Space Systems (C&DH, AOCS, GNC, EPS) and to Space Missions. Out team has the perfect intersection between Space Systems Engineering knowledge and Artificial Intelligence state of the art. We know exactly which algortihm to use depending on what data is analyzed and where this data comes from.

Autonomous Operations

Leaders on autonomous operations

Years of research on autonomous operations for space missions ensure our work reflects most recent approaches to autonomy. Our team has research published in important peer-reviewed international journals (Mechanical Systems and Signal Processing, Robotics and Autonomous Systems, Journal of Guidance, Control, and Dynamics), and several participations in international aerospace congresses (IAC, AIAA Space, IEEE Aerospace, ESA 4S, European CubeSat Symposium).

On-Board Software

Experts in integrating Artificial Intelligence to embedded

At AIKO, we develop embedded software for most typical satellite COTS processors:
- ARM family, MSP family
Development heritage on the flown e-st@r I and II satellites.

Announcements - 2019


AIKO MiRAGE flying in 2021
in GOMX-5 satellite

AIKO MiRAGE technology is selected by GOMSpace to fly as an experimental payload on-board GOMX-5 satellite in 2021. The experiment will demomnstrate key MiRAGE functionalities such as goal-generation, autonomous replanning and advanced failure monitoring. Read more.


AIKO at Digital technologies working days in Estonia

AIKO will be present at ESA Digital Technologies Working Days in Tallin, Estonia, discussing about the use of Artificial Intelligence in space missions. Read more.


AIKO technology flying in 2019 with Satellogic

AIKO signs an agreement with Satellogic, an Earth Observation satellite company, to validate Deep Learning technology, allowing in-orbit demonstration that will enable AIKO technology to reach TRL 9.
The activity will be carried out within Satellogic's Software and Hardware Hosted Payloads Program during 2019.
Read more.



AIKO was selected to be featured in the Thales Lab at Vivatech 2019! The event is one of the most important congresses for startups and innovation.
Details here.



AIKO was invited to and is presenting at the COMET Experts panel, Toulouse, France. Details and agenda.


NVIDIA Inception members get Amazon AWS support

Awesome news for NVIDIA Inception Program members (we are one of them)! This partnership of NVIDIA with Amazon AWS defines a new level of support for AI startups that are part of the program, by allowing startups to access the AWS resources to a incredible extent. Read more here.


On-Board Data Processing 2019

AIKO is presenting at the ESA On-Board Data Processing workshop at ESTEC, The Netherlands. The event is organized by ESA, CNES and DLR, and aims at exploring the state of the art in on-board data processing hardware and algorithms, including topics such as data reduction algorithms and machine learning.

previous years →

Announcements - 2018


Hello Tomorrow TOP 500

We’ve been selected as one of Hello Tomorrow’s Top 500 deeptech startups from over 4,500 applications worldwide! Come and meet us at the HTSummit in Paris on 14-15th March 2019.



AIKO is proud to be technical sponsor for the NASA Space Apps Challenge, held in I3P, Turin! Read more.


AIKO wins the European Startup Festival pitch competition

The European Startup Festival was held in Turin between the 21 and 23 of September 2018.


AIKO starts collaboration with ESA Advanced Concepts Team

The collaboration will focus on developing a tool for evaluating the computational requirements for deep learning state of the art algorithms for embedded applications. Read more...


1st Workshop on Innovative Spacecraft Attitude and Orbit Control Design Techniques

AIKO presenting innovative GNC algorithms based on Deep Learning on the 14th of June at Politecnico di Torino.

ESA Space Solutions selects AIKO
69th IAC, Bremen, Germany

AIKO selected by ESA to participate at the 69 th IAC in Bremen, Germany

AIKO is pleased to join other startups in the Start-up Space powered by ESA Space Solutions.
The International Astronautical Congress ( IAC) is one of the most important aerospace congresses worldwide, involving over 4000 space actors.


1st Workshop on Innovative Spacecraft Attitude and Orbit Control Design Techniques

AIKO presenting innovative GNC algorithms based on Deep Learning on the 14th of June at Politecnico di Torino.


AIKO at Startuppato 2018

Come and meet us at the Startuppato 2018 Summer Edition! Read more!


AIKO at Toulouse Space Show 2018

AIKO has been selected among the innovative startups to pitch and present during the Toulouse Space Show 2018.
Join the congress to get connected with us and discover our technology! Read more!


AIKO at SpaceOps2018

Come and talk to us at the SpaceOps2018 conference, Marseille, France.
AIKO will be among the exhibitors, on the 28th and 29th of May. Discover more!


SME Instrument Phase I

AIKO wins European Commission SME Instrument Phase I.



Accenture Italia selects AIKO as sole italian startup for a presentation during the Accenture national event in Italy. Presentation of the company, mission and objectives was performed to all employees of the italian offices.


Space Science Institute

AIKO signs a collaboration with the Space Science Institute, Colorado, US.
The collaboration will be focused on evaluating the implementation of Machine Learning algorithms for a Mars SmallSat mission concept. Read more...

Announcements - 2017


AIKO @ 68th IAC, Adelaide, Australia

AIKO founders presenting at the 68th IAC, Adelaide, Australia, key advancements on Mission Autonomy and Knowledge Engineering.


AIKO @ ESA CubeSat Industry Days

AIKO being presented at ESA CubeSat Industry Days.


AIKO is incubated

As of 23/05/2017, we are officially accepted among the startups of italian incubator I3P.

← back to present

Who we are



Mission Autonomy


Systems Engineering
Knowledge Management




Autonomous reasoning
Intelligent agents


Deep Learning
Data Science


Deep Learning
Embedded AI

Legal and Business


Doctor in Law


Senior Consultant
AIKO tutor

Open Positions No open position.

Space Science Institute

Machine Learning algorithms for Mars Event Detection on a SmallSat mission

SSI Logo

AIKO signs a collaboration with the Space Science Institute, Colorado, US.
The collaboration will be focused on evaluating the implementation of Machine Learning algorithms for a Mars SmallSat mission concept.
The Space Science Institute (SSI) is a nonprofit research and education corporation based in Boulder (CO, USA) with a vision to expand humankind's understanding and appreciation of planet Earth, our Solar System, and the universe beyond. SSI is home to more than 60 scientists carrying out cutting edge research in astrophysics, planetary science, and space physics. It is also a leader in translating science into education and outreach projects, and it was home to the Cassini Imaging Science Subsystem Ops team, which provided the best pictures of Saturn, its rings, and moons until the end of NASA's Cassini mission.

Mars gif cloud detection Image source: NASA. Processing: AIKO.

The project opens an important commercial direction for AIKO, with the first collaboration aimed at the implementation of AI-based algorithms for interplanetary missions. Small Satellites are characterized by severe limitations, that make their utilization in interplanetary missions challenging. AIKO algorithms are an enabling technology that will make future Small Satellites missions to other planets possible.

ESA Advanced Concepts Team

Deep Learning for spacecraft applications

AIKO starts a collaboration with ESA Advanced Concepts Team, ESTEC, The Netherlands.
The collaboration will focus on developing a tool for evaluating the computational requirements for deep learning state of the art algorithms for embedded applications. ACT Logo
The outcome of the project will allow an user to estimate, given a specific or custom architecture of Deep Neural Network, the computational requirements of the algorithm. In particular, information such as operation counts, memory utilization and inference time for each processor will be displayed. The tool represents an initial step towards promoting the diffusion and utilization of Artificial Intelligence in space applications and will be provided as a freely available web application on AIKO website.

Deep Learning on Embedded

The Advanced Concepts Team (ACT) is part of the ESA’s Directorate of Technical and Quality Management (TEC-SF). The team is essentially a channel for the study of technologies and ideas that are of strategical importance in the long term planning of the Agency. It serves the function of a think tank providing decision makers the support of a highly multidisciplinary research group. Based at ESTEC, they carry out research work on advanced topics and emerging technologies and perform highly skilled analysis on a wide range of topics.


AIKO does not handle personal data.
For additional enquiries, please contact

In-orbit demonstration agreement

Deep Learning for Earth Observation applications

AIKO signs an agreement with Satellogic (, an Earth Observation satellite company to validate Deep Learning technology. The activity will be carried out within Satellogic's Software and Hardware Hosted Payloads Program during 2019.

Why this is important for us

In-orbit validation is a key step in order to improve AIKO heritage. The Technology Readiness Level of AIKO technology will reach the status of TRL 9: demonstrated in real mission scenario.
AIKO's technology enables more ambitious commercial and scientific goals for Earth Observation missions, as an increased degree of on-board autonomy helps in implementing more effective mission operations. In particular, functionalities like event detection, autonomous planning and goal management, if implemented on-board, introduce several benefits to the way operations are managed. The deep learning opens new possibilities and horizons, such as:

  • Prioritization and payload data selection
  • Onboard data enhancing

In addition to the activities carried out during the program, AIKO will further improve its internal procedures for implementing and optimizing Deep Learning software in the context of space systems on-board execution. Given this opportunity, AIKO further consolidates its role in the Space industry, as provider of automation and Artificial Intelligence solutions, dramatically expanding its know-how and expertise.

A sincere thank you to Satellogic for the opportunity!

Earth from ISS at night


AIKO premises are located in the I3P incubator of Politecnico di Torino, Italy, ranked in 2014 among the top 25 best incubators in the world. AIKO offices are equipped with the needed infrastructure to carry out modern engineering activities related to AIKO background. This includes, Artificial Intelligence design and training, software R&D, teleconferences and concurrent engineering. AIKO makes use of state of the art cloud computing infrastructure provided by Google, NVIDIA and Microsoft, in addition to local GPU-enabled resources available to each AIKO engineer.

I3P offices from outside

AIKO offices are located in Torino, in a central location fully connected to train and bus station, and within walking distance from the Politecnico di Torino.

Torino city