Space-operations strategy

Stellalyzer

Amina and the mission team have a signal to explain. Help them decide what to try next.

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Meet the characters

Stellalyzer official artwork
Official artwork

About the game

Amina checks whether a promising signal could be noise. Ravi and Camila bring different strengths to the same mission-control desk. You take the watch, weigh their evidence, and decide what to attempt with the resources available.

Stellalyzer is an offline-first space-operations strategy game. Build a plan, commit limited resources, and examine what your decisions change.

Five operation modes explore impact mitigation, signal analysis, orbital conjunctions, deep-space observation, and sample return. A branching campaign carries research gains, investments, and failed decisions forward. Planning diagrams distinguish your selected plan from recommendations, while debriefs separate preliminary results from verified findings.

Meet Amina and the mission team

What you will do

  • Anomaly cases grounded in astronomy and space-science concepts.
  • Counterfactual plans and explainable mission debriefs.
  • A local research archive and researcher-specific records.
  • Campaign outcomes and short challenges to revisit.

Play on iPhone and iPad

Start with the free guided evaluation before deciding whether to unlock full access. A one-time in-app purchase unlocks the paid campaigns, modes, and archives. After purchase verification, unlocked content remains available offline. Current pricing and device compatibility are shown in the App Store.

Stellalyzer is a fictional learning game, not real mission-planning software or operational guidance.

View on App Store

See the store listing for current availability, compatibility, and purchase details.

Latest update

Version 1.0.3 is available on the App Store. Availability checked on .

  • Planning diagrams distinguish selected plans, recommendations, and recorded results.
  • Result summaries highlight what changed, its cost, and the next question, with the next action within reach.
  • Preliminary results are clearly separated from verified findings.
  • Refined operation-mode visuals, review scenes, and the return-to-game screen.

These are usability improvements, not new paid content or a change to the purchase scope.

Support and privacy

For help, visit Studio Mamalys Support. Read our Privacy Policy and the Stellalyzer Privacy Policy for information about data handling.

The people and AIs on watch

Different minds. One mission.

Mission control is not a single voice. Researchers bring different priorities, a director asks what can be defended, and navigator AIs keep your reasoning in view. Their advice supports your judgment without replacing it.

The research desk and mission director

Portrait of Amina Ndlovu from Stellalyzer

Evidence and uncertainty

Amina Ndlovu

Careful and steady, Amina separates what is known from what is still uncertain. She checks whether an apparent change could be noise and asks for enough observational support before reaching a conclusion. Her perspective keeps a promising interpretation from becoming a claim too soon.

Portrait of Ravi Perera from Stellalyzer

Timing and operational risk

Ravi Perera

Ravi is action-oriented, but his urgency has a practical basis: time spent deciding is time no longer available to act. He asks what delay will cost and what room for recovery remains. His advice puts the shrinking execution window beside the quality of the evidence.

Portrait of Camila Arce from Stellalyzer

Faint traces and their source

Camila Arce

Tenacious and forensic, Camila keeps weak traces in view until their value has been tested. She follows what a model leaves out as carefully as what it explains. Her perspective asks whether an overlooked detail deserves another comparison before it is discarded.

Portrait of Director Mira Hale from Stellalyzer

Mission director

Mira Hale

Mira sets the mission's questions without making your scientific conclusion for you. She asks which judgments can be defended responsibly, where a plan may break, and what record will remain for the next watch. Urgency does not remove the need for an explainable decision.

Portrait of the navigator AI PiPi from Stellalyzer

Procedure, navigation, and records

PiPi

Warm and exact, PiPi handles navigation and shift records while leaving the interpretation to you. It keeps the reasons for a decision connected to the procedure that follows. A familiar voice on watch is useful company, not a substitute for checking the evidence.

Portrait of the navigator AI SaSa from Stellalyzer

Patterns without premature intent

SaSa

SaSa is conversational and cautious. It notices unsettling regularity, then asks what comparison could test it. A pattern may justify concern without establishing a purpose; SaSa keeps those two claims apart while helping you consider the next observation.

Portrait of the navigator AI LoLo from Stellalyzer

Assumption testing and red team

LoLo

Blunt but fair, LoLo tests the explanation most likely to fail under the actual conditions. It challenges assumptions and asks whether a plan still works when the comfortable reading is removed. Its objections are a chance to strengthen your reasoning, not an answer to accept automatically.

Character artwork from Stellalyzer. These are fictional characters in a learning game, not real mission personnel.

Inside the game

Begin a guided mission.
Begin a guided mission.
Balance the timing and cost of an intervention.
Balance the timing and cost of an intervention.