COSRYX AI — A DCS Labs Space Research Initiative

Mission Intelligence for Earth and Beyond

A premium AI platform for mission planning, planetary operations, relay architecture, anomaly reasoning, explainable autonomy, and simulation-driven decision support across Earth orbit, the Moon, Mars, and deep space.

Interactive Product SimulationNot Flight-QualifiedResearch and pilot interface · human confirmation required for high-impact actions

Request Pilot Access

Earth · Moon · Marsplanetary mission environments

Relay + Autonomycommunications and onboard intelligence

Evidence Layersource-backed recommendations and confidence

Simulation Firstresearch-ready and human-in-the-loop

COSRYX MISSION OPERATIONS SIM-LUNAR-01 · LUNAR RELAY SIMULATION

SIMULATION ACTIVE

MISSION SCENE SIMULATION

Lunar South-Pole Relay Rover support · contact window analysis

AGENT TRACE · mission_planner.py RUNNING

01from cosryx.mission import RelayPlanner

02planner = RelayPlanner(SIM-LUNAR-01)

03window = planner.analyse_contact_window()

04priority = planner.rank_science_packets()

00:08:41relay.windowContact window stable · 08:42 remaining

LATEST AI DECISION Prioritise navigation packet A7 and anomaly report B17 before imaging batch.

91% confidence human review required

Product capabilities

Designed as a premium mission-control intelligence layer

COSRYX AI turns space operations into an explainable, source-backed and simulation-driven workflow across mission planning, planetary operations, communications, anomaly handling and research assistance.

Mission Copilot

Built on DSRP’s decide-before-execute agent architecture. Every recommendation is receipted and requires human countersign before action.

Explainable AIHuman-in-the-loop

Mission Planner

Constraint-aware planning with receipted decision trails for Earth, lunar, Martian and deep-space scenarios.

Timeline logicConstraint aware

Relay Planner

Built on DSRP — delay-tolerant store-and-forward with light-cone timestamps. 100/100 simulation scenarios, 78 tests.

Latency modellingDownlink optimisation

Autonomy Lab

Bounded autonomy with evidence, confidence and escalation policies. Connected to COSRYX-MCC (in development).

Safety constraintsDecision audit

Planetary Intelligence

Connected to COSRYX-LENS imagery provenance (in development) — every derived product will carry a cryptographic receipt.

Earth · Moon · MarsDeep-space context

Anomaly Intelligence

Connected to COSRYX-ORBIT debris tracking (in development) — conjunction alerts with receipted proof of warning.

Incident logicRoot-cause support

Mission Digital Twin

Represent mission assets, environment states, relay nodes and simulated operations inside a single visual operating model for researchers and operators.

3D scene logicOperational context

Evidence Layer

Every recommendation shows sources, confidence, assumptions, approvals and revisions. Built on DCS R-Series — 518,336 cycles, 0 failures, 99.99% uptime over a 30-day continuous soak. Receipts anchored on-chain. Independent third-party security audit in progress.

TraceabilityFuture verification

COSRYX-NEXUS

COSRYX-NEXUS — The interplanetary trust network. Signed custody receipts across delayed, interrupted links (relay); N-of-M witness signatures with dual-domain two-person control (mesh + coordination); deterministic byte-identical simulation. One product, three layers — an Earth→Moon→Mars custody chain that survives link outages.

Built — simulation-validated65 tests

SWARM TRUST

SWARM TRUST — A cryptographic receipt for every autonomous-robot-swarm decision. Byzantine-tolerant (survives ⌊(n−1)/3⌋ faulty or corrupted robots), with radiation-fault (SEU) scrubbing and automatic quarantine of a rogue unit. Prove to an agency what the swarm decided, when, why, and under whose consensus — even during a communication blackout. Rides COSRYX-NEXUS + COSRYX-EDGE.

Built — simulation-validated38 tests

SSA ACCOUNTABILITY

SSA ACCOUNTABILITY — Liability evidence for satellite and debris-removal operators. Prove you warned them; prove the maneuver was safe. Binds each conjunction alert to the exact observations it derived from, in the international CCSDS standard format, mapped to the 1972 Space Liability Convention. Rides COSRYX-ORBIT + COSRYX-SPACETRACE.

Built — ground-demonstrated (evidence-service)34 tests

MFG PROVENANCE

MFG PROVENANCE — Certify that a fiber, material, or pharmaceutical batch was genuinely made in orbit — on this date, by this process. Manufacturing telemetry flows through the LENS processing-chain to a C2PA "made in orbit" certificate. Rides COSRYX-LENS.

Built — ground-demonstrated (provenance seam)33 tests

Premium 3D product experience

Mission console preview

An interactive software experience that feels like a premium mission-control product — not a static brochure. Choose an environment and inspect planetary, relay and operational data.

Mission Copilot

“What should we transmit first?”

COSRYX AI can answer questions like a mission analyst: what to downlink first, whether to delay a command, where the strongest uncertainty lies, and which evidence supports a recommendation.

Output is presented as operational guidance with confidence and evidence — not as unsupported automation.

Simulation Lab

Scenario Preview

Earth Mission MeshOrbital intelligence · climate observation · debris awareness

Operational feed

Live Preview

Window Assessment
Relay window remains viable for 08:42.

Stable

Anomaly Review
Thermal variance above nominal on node B17.

Investigating

Autonomy Guardrail
Human confirmation required before high-impact uplink.

Required

Mission Confidence
Aggregated confidence based on telemetry, relay budget and terrain context.

Explainable mission intelligence

Every recommendation shows its evidence

COSRYX AI separates scientific sources, live mission inputs, assumptions and model interpretation so operators can understand why a recommendation was made before approving it.

Review Security Model

RECOMMENDATION BUNDLE · SIM-LUNAR-01SIMULATION-VALIDATED

RecommendationPrioritise navigation packet A7 and anomaly report B17.

91%confidence

Telemetry stream 07Link quality and power reserve within safe simulation range.

LIVE

Relay-window calculation08:42 remaining with constrained bandwidth.

MODEL

Terrain-navigation scorePacket A7 has the highest immediate operational value.

DATA

Human approval policyHigh-impact uplink remains blocked until confirmation.

GUARDRAIL

Planetary intelligence

Beyond facts — operational relevance by world

COSRYX AI can combine science facts, environmental conditions and mission-relevance signals. The result is a much richer operational layer for Earth, the Moon, Mars and deep-space systems.

Research interpretation layer

Source-backed

Earth relevanceOrbital intelligence · disaster sensing · debris tracking

Moon relevanceRelay architecture · polar navigation · robotic support

Mars relevanceDelayed autonomy · terrain reasoning · habitat operations

Deep-space relevanceDTN logic · long-duration autonomy · scientific data triage

How COSRYX goes beyond public facts pages

Mission-first

Quick facts

Public scientific properties like day length, year length, gravity, atmosphere, temperature and distance.

Operational profile

Communication delay, environmental severity, power constraints, autonomy need and relay complexity.

COSRYX guidance layer

Mission relevance, scenario-based risk, suggested system emphasis and explainable intelligence recommendations.

Private, secure and explainable

Mission intelligence without surrendering control

COSRYX AI is designed for private workspaces, customer-controlled access, explicit approval gates and evidence-rich operations. Deployment claims remain clearly separated between current prototype capability and future enterprise options.

COSRYX CONTROL PLANE

Private Mission Workspace

Mission context, models, evidence and permissions organised inside a controlled operating boundary.

PrototypeHuman approvalEvidence trail

BYOK & Model Control

Use approved provider keys and routing policies while keeping mission workflows under organisational control.

Design target

Data Boundaries

Separate customer context, simulation data and source evidence with clear retention and access policies.

Pilot scope

Approval Guardrails

Require operator confirmation before high-impact actions, uplinks or irreversible workflow transitions.

Shown in demo

Audit & Evidence

Record recommendation sources, confidence, assumptions, revisions and human decisions.

Shown in demo

Future enterprise direction

On-premise, sovereign and private-cloud deployment options require product engineering, security review and customer-specific implementation before being represented as operational.

POST-QUANTUM SECURITY

Quantum-safe trust infrastructure

COSRYX AI security infrastructure includes hybrid post-quantum signatures (Ed25519 + ML-DSA-65 + SLH-DSA), X-Wing key encapsulation (KAT-verified), and a state-hazard policy preventing stateful signature misuse in distributed systems.

Operational109 tests, 0 failX-Wing 17/17 KAT

Built for research and mission teams

One intelligence layer, multiple operational perspectives

Space Agencies

Mission studies, simulation, evidence review and decision-support research.

Universities & Labs

Planetary datasets, autonomous-system experiments and publishable simulation workflows.

Satellite Operators

Relay planning, anomaly analysis, orbital context and human-controlled recommendations.

Aerospace & Robotics

Digital-twin scenarios, rover autonomy and systems-integration research.

Government Research

Private mission studies, explainable AI and evidence-centric operational review.

Architecture

Built as a layered intelligence stack

COSRYX AI can grow from a research interface into a serious mission-intelligence platform with planners, worker agents, simulation layers, evidence traces and human review.

Mission Objectives

Goals, constraints, priorities and research intent define what the system is trying to achieve.

Simulation & Context

Planetary facts, mission environment, terrain, relay windows and resource models provide context.

AI Reasoning Layer

Copilot, planner, anomaly analysis and autonomy policies generate candidate recommendations.

Evidence & Review

Confidence, assumptions, source links and approval flows make the system explainable and controllable.

Mission Actions

Outputs become simulated actions, human-reviewed plans, datasets, reports or future operational workflows.

Pilot access

Define a mission-intelligence pilot

Share your research or operational use case. The form prepares a structured pilot request for the COSRYX team and clearly identifies which capability you want to evaluate.

01Focused scopeOne mission or research workflow

02Simulation firstNo claim of flight qualification

03Evidence includedSources, confidence and review states

04Human controlledApproval gates for high-impact actions

Preferred contact: research@cosryx.space

Full name Work email Organisation Role Area of interest Expected timeline Mission or research use case

This static prototype prepares the request locally and opens your email client. Connect the form to an approved backend endpoint before public production deployment.

Research Status

Transparent readiness labels

Research, concept, prototype, simulation, pilot, verified test and operational states must not be presented as equivalent.

Responsible AI

Recommendations are reviewable

Confidence, assumptions, supporting evidence and human approval states remain visible in high-impact workflows.

Data Policy

Customer-controlled deployment direction

Production retention, model access, tenancy and security requirements must be agreed and implemented for each pilot.