NowFlow is a governed autonomy platform for robotic and defense operations. It connects mission agents, sensors, machines, policy gates, and accountable human command in one visual control plane.

NowFlow 1.0Governed autonomy operations

Build, govern, and operate autonomous missions.From intent to evidence.

Turn natural-language intent into mission, workflow, device, policy, scenario, test, and operator artifacts. Coordinate governed agents, fleets, intelligence, simulation, approvals, telemetry, and debrief while field authority stays outside AI generation.

Request a mission demo Enter secure studio

Loading control graph

Drag divider · Workflow ↔ Field operationSimulation only

Assurance stage · deterministic reference lab

Simulation is one verification stage—not the whole product.

Exercise nominal, degraded, fault, and recovery paths before a separate authority and promotion decision. The lab never grants field permission.

Simulation runrun:ridge-sim-20260830

Providernowflow-reference

Seed20260830

Clock00:00:00

Evidence0 EVT

Selected assetUAS-07

Fleet health3/3 nominal

PolicyALLOW

FaultNone active

Mission operating picture

Ridge corridor · deterministic rehearsal

Select any platform to inspect its simulated state.

Camera source

Nadir orbital picture

PAD READYUAS ON LAUNCH PADUGV PLANNEDMESH LINKED

Active workflow blockBind mission and policyMISSION → POLICYqueuedAwaiting simulated launch

Aerial intelligenceTerrain scan pendingUAS-07 report—Launch and forward scan not yet complete

Surface strategyPrimary road · proposedAIR INTEL → POLICY → UGVplannedUGV staged until forward terrain is verified

Compiled control graph5 nodes · live trace

MISSION.CONTEXTSIMSEALEDAUTH

AEGIS.COGNITIONSIMNOMINALCONF

POLICY.ENVELOPESIMALLOWDECISION

SIM.RUNNERSIM0sCLOCK

EVIDENCE.MANIFESTSIM0EVENTS

How to use the simulation

Run, inspect, then test a fault.

Every control updates the same mission clock, devices, policy, and evidence.

1
Run the missionWatch the UAS fly and the UGV advance.
2
Select a deviceClick a platform in the terrain view.
3
Test a faultJump to an event and inspect the safe response.

Test a scheduled faultThese buttons jump the mission clock to a declared event.

Safe, deterministic replay

Fleet link quality98 %

Telemetry freshness100 %

Evidence events0 EVT

Define

Compose

Simulate

Assure

Authorize · locked

Operate · locked

Debrief

Built for sovereign robotic operations

Human command
Policy-enforced autonomy
Bounded robot action
Full mission trace

01Product lifecycle

One line of sight from mission intent to operational evidence.

NowFlow connects AI composition, workflow control, devices, intelligence, simulation, authority, operation, and debrief without collapsing them into a single feature or hidden prompt.

01
Define
Capture mission intent, platforms, approved intelligence, operating limits, and the accountable authority.
02
Compose
Generate and edit mission, workflow, device, policy, scenario, test, and operator-layout artifacts.
03
Simulate
Exercise nominal, terrain, link-loss, sensor, fault, and recovery paths in a versioned world.
04
Assure
Compile every path and surface invalid structure, missing capability, unsafe limits, or weak evidence.
05
Authorize
Bind approval to the selected mission, workflow, device, policy, and scenario versions—not a prompt.
06
Operate
Supervise selected paths, telemetry, agents, devices, exceptions, hold, resume, and abort authority.
07
Debrief
Replay decisions, provenance, approvals, telemetry, interventions, and evidence on one time axis.

Autonomy doctrine

Agents can perceive, plan, and recommend. The governed workflow enforces what is allowed. Robots act only inside the authorized envelope, and accountable humans retain command.

02Governed autonomy

Agentic intelligence. Deterministic control. Human command.

Every consequential behavior has a visible place: the mission agent, the graph, the authority gate, the robot adapter, or the execution record.

MESH

A visible autonomy graph

Agents, sensors, robots, conditions, recovery paths, and bounded loops remain visible instead of disappearing inside prompts.

Selected branches only
Bounded robot actions
Structural validation

AGENT

Governed mission agents

Give each agent an assigned role, approved context, model, tools, knowledge, and a versioned place in the control plan.

Scoped capabilities
Approved context
Versioned profiles

AUTH

Human command authority

Treat release, hold, correction, escalation, and abort as first-class mission steps with an accountable owner.

Approve or deny
Pause and resume
Controlled handoffs

ASSURE

Mission assurance at runtime

Use robot state, execution context, and durable checkpoints to verify what happened before the next field action begins.

Action-level evidence
Durable checkpoints
Explicit safe failure

Aerial operational view of an inspection rover following a critical-infrastructure corridor at dawn — Aerial perception / governed release
See the operating envelope before autonomy moves.
Correlate terrain, infrastructure, sensor evidence, and platform state in one operational picture. The workflow can recommend a route; command authority decides when the machine proceeds.

03Robotic mission patterns

Start with one bounded autonomy pattern.

These are reference control patterns, not claims of fielded missions. Each one defines the human authority boundary before autonomy is expanded.

Multi-robot tasking

Turn an authorized objective into a reviewable fleet plan without allowing an agent to task a platform on its own.

01Receive objective
02Assess fleet state
03Plan assignments
04Commander release

A commander releases robot tasking

Sensor-to-decision

Fuse incoming telemetry, classify uncertainty, and route a recommendation while the response decision stays visible.

01Accept sensor event
02Correlate evidence
03Check confidence
04Duty review

A duty officer authorizes the response

Autonomous inspection

Convert platform health signals into an inspection plan while keeping safety limits and engineering approval explicit.

01Read telemetry
02Diagnose anomaly
03Check safety envelope
04Engineer approval

An engineer releases the inspection task

04Mission stack

Connect intelligence, machines, and command without hiding the boundary.

NowFlow coordinates the configured systems around a robotic mission without assuming that every sensor, model, platform, or network shares the same trust boundary.

Mission inputs

Natural-language intent
Fleet and device state
Approved intelligence
Authority constraints

AI composition

Mission artifacts
Governed agents
Executable workflows
Operator layouts

Assurance & simulation

Graph validation
World and scenarios
Policy decisions
Approval binding

Operations & evidence

Fleet and adapters
Telemetry and replay
Evidence and debrief
Mission APIs

Authority before autonomy

Platform safety, hosting, network access, identity, model providers, credentials, data classification, retention, and audit requirements are mission inputs—not assumptions hidden behind an autonomy label.

Review our security posture

Close view of a rugged unmanned inspection robot with cameras, sensors, and articulated running gear — Platform state / durable evidence
Every machine action leaves a physical and digital trace.
Bind sensor state, agent reasoning, authorization, and the resulting robot command to the same mission record—so field behavior can be understood, replayed, and assured.

05Command views

The right operational picture for every role.

Operators need focus, autonomy engineers need complete control, and assurance teams need evidence. Each role gets the same truth at the right level of detail.

01Mission operator

Command the mission, not the middleware.

See the current objective, fleet state, recommendation, confidence, and authority action without interface overload.

02Autonomy engineer

Make every machine action legible.

Design the graph, configure agents and adapters, test branches, and inspect the same runtime state operators see.

03Assurance lead

Review the full chain of authority.

Trace versions, model decisions, approvals, robot commands, and failures without rebuilding the mission from separate tools.

06Deployment path

Prove one governed robotic mission first.

A focused working session can expose the real authority boundary, missing evidence, integration constraints, and failure modes that a polished autonomy demo can hide.

01
Bring one bounded mission
Choose a robotic operation with known platforms, inputs, outputs, and a decision that must remain under human command.
02
Map the authority envelope
Identify robot capabilities, models, identity, network, geospatial limits, review, and deployment constraints up front.
03
Prove the path in simulation
Exercise nominal, denied, degraded, and recovery paths before deciding whether the operating envelope should expand.

Plan an autonomy session Read the platform guide

07Questions

Define the command boundary before deployment.

The useful starting point is a shared understanding of machine capability, human authority, data, execution, and the field environment.

01What does governed agentic autonomy mean?

It means agents may interpret, plan, and recommend inside explicit workflow constraints, while policy gates and accountable humans determine which robot actions can be released.

02Does NowFlow replace the mission operator or robot controller?

No. NowFlow coordinates agentic reasoning, deterministic control flow, and human authority around existing systems. The organization defines which actions are automatic, supervised, or always operator-released.

03How are unsafe branches and loops constrained?

Only the selected condition, router, or error edge becomes active. Repetition uses explicit bounded loop metadata, and structurally invalid graphs are rejected before execution.

04Can NowFlow connect to robots, sensors, and mission systems?

Workflows connect through configured APIs, tools, data sources, and platform adapters. Each connection remains subject to the credentials, protocol, network, and operating boundaries you authorize.

05How should a defense or field deployment be evaluated?

Start with platform safety, network access, identity, model providers, data classification, retention, audit, latency, and hosting constraints. Prove the control path in simulation before field use.

06Can I send sensitive material through the demo form?

No. Use the form only to describe the workflow at a high level. Do not include classified, export-controlled, personal, or otherwise sensitive data.