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NEURA PARSE
Governed operations study
Concept study01 / 03

Quantum apparatus

A concept route from circuit design to a reviewable experiment record.

Product paths
Concept study02 / 03

Precision arm

NODERIQ mission context with its edge and governed workflow layers, beside a concept machine.

Product paths
Concept study03 / 03

Inspection drone

NODERIQ mission review and its workflow layer, beside a civilian inspection concept.

Product paths

Neura Parse · Governed AI / Robotics / Quantum

Governed AI. Robotics. Quantum.

NODERIQ connects robotic missions, AI workflows and edge execution. NowFlow and NeuraOS form its workflow and edge layers. QFlow Studio brings quantum circuit design, simulation and experiment records into one workspace.

  • IBM
  • Google
  • Microsoft
  • Amazon
  • NVIDIA
  • OpenAI
  • Anthropic
  • Hugging Face
  • Mistral AI
  • Intel
  • AMD
  • Arm

02 / Two primary products

NODERIQ and QFlow Studio.

NODERIQ is our platform direction for shared mission intelligence, workflow coordination and edge execution. QFlow Studio is our quantum workflow product. Start with the job, then inspect the relevant layers and current scope.

01

Coordinate observations, agents, devices and decisions. NowFlow supplies the workflow layer; NeuraOS supplies the edge foundation within NODERIQ.

Explore NODERIQ
Concept operations workstation · actual Noderiq UI with SIM data
02

Explore with Astra AI, learn through quantum games and Academy labs, and connect visual circuits, code and experiment records.

Explore QFlow Studio
Astra AI · Guided Bell circuit

NODERIQ hardware / in testing

AERA and MIRA, within NODERIQ.

Solar-assisted platforms for a wider view and recurring local observation. Both are in development and testing, with NODERIQ integration in scope.

Explore NODERIQ devices
AERA exterior design with a white buoyant envelope, upper solar laminate, tail fins and a compact observation pod
Hardware design

AER-01

NODERIQ AERA

Compact solar-assisted lighter-than-air platform

For portable aerial observation: define a local area, the sensor task and a recovery point before release.

Explore AERA
MIRA exterior design with four integrated fan ducts, central solar strip, recessed carrying grips and protected front optics
Hardware design

MDR-01

NODERIQ MIRA

Solar-assisted mini drone and docking system

For recurring local observation: assign an area, an observation interval and a return point before planning the next task.

Explore MIRA

NODERIQ hardware cards / EV1

Build around your machine.

Four evaluation profiles for mission compute, camera processing, robot I/O and sensing. Start with the hardware role, then explore its dimensions, integration plan and bench procedure.

EV1 product architectures. Electrical release and physical qualification remain part of the evaluation work.

03 / Engineering thread

From intent
to evidence.

Five device studies connect mission planning, experiments and field observation. AERA and MIRA are our developing hardware; the explorer, cryostat and arm are reference assemblies.

01Mission

Define the mission.

For a robotic mission, set the task, machine limits and accountable person before handing work to software.

02Experiment

Make the experiment inspectable.

QFlow Studio connects the brief, circuit, selected run route, code and result. A researcher can follow the record, not just the result.

Cryostat service view. QFlow Studio is software.

QFlow Studio

03Observation

See the area through AERA.

AERA combines a compact buoyant envelope, a removable sensing pod and solar laminate. We are developing it for local observation, with mission data intended for NODERIQ.

R1 design targets. Hardware testing and NODERIQ integration are ongoing.

AERA / NODERIQ

04Control

Keep authority explicit.

NODERIQ is being developed to connect device state, task ownership and evidence. Each machine keeps its own control and safety boundary, with an accountable operator.

NODERIQ

05Field record

Bring the observation back.

MIRA combines four protected rotors, a recessed sensor unit and a central solar strip. Local observation and returns to MIRA Point are part of its development, with captured evidence intended for NODERIQ.

R1 design targets. Hardware testing and NODERIQ integration are ongoing.

MIRA / NODERIQ
Five devices · mission, observation and evidence

QFlow Studio / Explore, build, play

Quantum ideas. Meet Astra AI.

A question, a circuit or a quick game: find your way into quantum. Astra helps you explore the idea; the Studio keeps the code and result in reach.

Astra AI / Circuit / Code / Results

  1. Try the public Bell circuit with Astra’s guidance. Ask why, inspect a suggestion and choose your next change.

  2. Keep visual gates and their settings in one editable Studio workflow.

  3. Inspect the synchronized source beside your design before choosing a simulation environment.

  4. Return to the archived circuit, settings and output of a local simulation. Hardware runs require separate provider access.

See the QFlow workflow
QFlow Studio · Current interfaceOctober 2026
QFlow public circuit & Astra AI · 29 October 2026

QFlow public circuit & Astra AI · 29 October 2026

QFlow public circuit & Astra AI · 29 October 2026

Step 01 / 04 · Explore with Astra AI

Try the public Bell circuit with Astra’s guidance. Ask why, inspect a suggestion and choose your next change.

Quantum arcade

One game. A new way to think.

Explore all 8 games

Free browser games. No account, installation or saved progress. Each game explores quantum ideas through a local simulation.

05 / Robotics research

One mission can cross several machines.

NODERIQ-RCN extends the NODERIQ product through collaborative research. Consortium development continues around fragmented context, difficult handoffs and resilient recovery. Broader applications and physical validation keep local safety, human judgement and platform-specific evidence explicit.

Three conceptual precision modules with one interrupted connection
Distributed robotics study

06 / Start a conversation

Bring one task. Start with the right product.

Tell us what you need to do, the environment you work in and the result you want to evaluate. We will use that context to shape the discussion.

Tell us about your task