
Mission software for controlled autonomy.
QFlow leads the stack for quantum workflow evidence. NowFlow controls agentic operations, NeuralOS carries signed edge runtime, and QANTIS keeps decision research auditable.
Authority
Human authority
Approval lanes stay visible before action.
Runtime
Signed edge runtime
Policy and version state travel with the system.
Evidence
Replayable evidence
Each recommendation keeps source and control context.
01
Sense
Telemetry, documents, tools, and operator context enter one controlled workflow.
02
Reason
Products preserve assumptions, model state, uncertainty, and source lineage.
03
Authorize
Policy gates keep recommendation, review, and authority separate.
04
Deploy
Runtime state and decision evidence move as a reviewable package.
Mission records
Active product, program, and research records.
QFlow
Product lead
2
Live bulletins
5
Solution tracks
17
Gap scans
Product

QFlow Studio
Quantum workflow evidence, provider context, OpenQASM source, and reviewer-safe records.
Product

NowFlow control plane
Agentic workflows, approvals, tool calls, tables, and multi-surface deployment.
Runtime

NeuralOS edge runtime
Signed embedded deployment, fleet telemetry, local inference, and rollback state.
Bulletin

NODERIQ submission
Public-safe mission intelligence announcement for multidomain uncrewed autonomy.
Solution

Uncrewed systems assurance
BVLOS operations, telemetry quality, edge runtime state, and post-mission evidence.
Research

AI agent control plane gap
Tool authority, policy, evaluation, containment, and replayable action evidence.
Mission capability matrix
Product surfaces mapped to runtime, evidence, and authority.
Each capability is tied to a runtime surface, a verifiable evidence trail, and a clear human-control point before it reaches production.
Runtime
Evidence
Authority
Surface
Quantum workflow evidence
QFlow Studio
Simulator, provider, qOS track
Workflow record, backend context, source manifest
Reviewer packet
Studio, research note, API path
Agentic operation control
NowFlow
Workflow graph, tools, approvals
Tool trace, policy route, run output
Approval lane
API, chat, portal, embedded UI
Signed edge autonomy
NeuralOS
Linux edge image, NPIE, fleet telemetry
Device state, model version, OTA record
Operator review
Embedded runtime, fleet console
Decision assurance
QANTIS
POMDP, MTDA, quantum research
Belief update, uncertainty trace, paper record
Decision support
Research, evidence board
Field bulletins
Current field signals, not static brochure copy.
Current updates connect public announcements, ecosystem events, and product movement to the same operating stack.
Newsroom
NODERIQ submitted to NATO DIANA's Multidomain Autonomy challenge.
Public-safe announcement for quantum-ready distributed mission intelligence across edge AI, mission orchestration, human review, and auditable decision evidence.

QFlow at the SSB Quantum Program Introduction.
Field note on Türkiye's quantum ecosystem, the Quantum Algorithm Competition, IBM Quantum participation, and QFlow's workflow evidence angle.
Research intelligence
Gap scans tied back to products.
Applied research notes track AI agents, defense autonomy, drones, robotics, telecom, quantum AI, and quantum biology as gaps, evidence requirements, and product architecture signals.
AI agents
Defense
Drones
Quantum

AI agents
AI agent gap scan 2026: control, not another chatbot.
Production agents need resource discovery, identity, policy, evaluation, audit trails, and containment as native infrastructure.

Defense AI
Defense AI agent gap scan 2026: assurance before scale.
Secure agent collectives need authority, containment, telemetry, and degraded-mode behavior at the edge.

UAV autonomy
Drone, IHA and SIHA trend scan 2026: assurance is the autonomy layer.
BVLOS planning, airspace constraints, edge runtime state, telemetry, human authority, and post-flight evidence become one workflow.
The Stack
Four layers. One intelligence.
Each product solves a different challenge. Together, they connect automation, quantum workflow evidence, embedded deployment, and decision research.
Automation
Quantum
Edge
Decision
QFlow Studio
Quantum Workflow & Evidence Studio
Run quantum workflows from idea to approved evidence. QFlow Studio helps teams design editable quantum workflows, keep Qiskit and OpenQASM source beside the canvas, route with provider context, track academy progress, and package reviewer-safe evidence while qOS is developed as the operating layer.
Provider routing
Qiskit + OpenQASM
Evidence packets
QFlow Studio
Quantum workflow · Canvas and evidence

Solutions
Built for high-stakes operations.
Neura Parse maps product capability into defense, aerospace, robotics, healthcare, and automotive programs where autonomy needs telemetry, runtime control, and evidence.
Labs & open systems
Operational tooling we build in public.
TaskNebula, NeuraBar, OrbIDE, qmesh, and QMANN expose the practical engineering layer behind the commercial stack: work graphs, context engines, quantum IR, and reproducible research tools.
Open-source work graph
Self-hosted project management with AI-agent governance: Linear-like UX, Jira-scale work graph, 30-language localization, Docker-first operations, AGENTOWNERS policy, and opt-in BYOK AI.
Side projects · research libraries
Smaller open-source projects we maintain alongside the flagship work — daily-driver tools, research companions, and one preview release.
Services
Product-grade delivery for controlled AI.
Strategy, automation, edge deployment, and managed operations joined into one accountable path from architecture to production evidence.
Plan
Build
Operate
Trust & Compliance
Operational trust. Clear controls.
Buyer-facing security, privacy, and encryption signals are presented as evidence paths, not loose badges.
Review trust centerControl programme
SOC 2 Type II
Security, availability, and confidentiality controls with evidence collection in motion.
Privacy routes
GDPR coverage
Public privacy policy, DPA request path, and DPO contact routes for buyer review.
Data protection
TLS 1.3 / AES-256
Encryption in transit and at rest across customer data, model assets, and audit trails.




