Autonomous Operations for Industrial Facilities

Machines that
fix themselves
before you know
they broke.

OpsFlowOS is an agentic AI platform that ingests multimodal sensor data — video, audio, IoT, text — and autonomously resolves maintenance issues without human intervention. No tickets. No delays. No breakdowns.

46 Enterprise Clients
3 Continents
$1.8M ARR
Facility Monitor — Live
HVAC Unit R-4 Optimal
Conveyor Belt A Anomaly
Power Monitor B Optimal
冷却系統 C-3 Optimal
Conveyor Belt A: vibration anomaly resolved. Self-corrected.
HVAC R-4: filter pressure rising. Work order auto-generated.
Energy Monitor: peak load detected. Load balanced autonomously.
Solving the maintenance paradox — where every second of downtime costs more than the fix itself.
Outcomes

Downtime is a choice.
We made it optional.

44%
average reduction in unplanned downtime

Fiix's customers report similar gains. OpsFlowOS achieves this through real-time multimodal anomaly detection — not post-incident analysis.

15%
wrench time increase in six months

Technicians stop chasing paperwork. They fix things. OpsFlowOS handles the rest — dispatch, scheduling, reporting, parts forecasting.

$0
in vendor coordination overhead

The platform self-dispatches. External vendors receive instructions, confirm slots, and report completion — all without a coordinator in the loop.

One layer between your assets and autonomous operations.

OpsFlowOS sits between raw sensor data and your maintenance team. It ingests multimodal inputs — video feeds, audio signatures, IoT readings, text logs, barcode scans — and runs them through an AI rule engine that decides: self-correct, auto-ticket, dispatch vendor, or escalate. No human in the loop for routine events. Escalation only when the system needs judgment.

Autonomous Resolution Self-correct, auto-ticket, dispatch, report
AI Rule Engine Multimodal fusion + decision logic
Data Ingestion Video · Audio · IoT · Text · Barcodes
Your Assets HVAC · Motors · Conveyors ·Cameras ·Sensors
How It Works

From raw signal to resolved issue.
No human required.

01

Ingest

Multimodal AI ingests real-time video, audio, IoT sensor streams, text logs, barcodes, and QR codes simultaneously.

02

Detect

Rule engine identifies anomalies, classifies failure modes, and determines severity — in real time, at the edge.

03

Act

System self-tickets, self-dispatches, self-schedules. Vendor receives instructions. Parts are ordered. Team is informed only when needed.

04

Learn

Every resolution updates the knowledge graph. False positives drop. Prediction accuracy improves. The system gets smarter on every cycle.

Industries Served

Built for the floor, not the boardroom.

Manufacturing

Production line monitoring, conveyor belt anomaly detection, predictive maintenance for CNC and robotic cells.

🏗

Commercial Buildings

HVAC, elevators, lighting, fire systems — autonomous monitoring for property managers and CRE operators.

🏭

Oil & Gas

Critical infrastructure monitoring, pipeline integrity, safety system automation for upstream and midstream operations.

🌆

Smart Cities

Street lighting, water systems, traffic infrastructure, public utilities — city-scale autonomous operations.

🚚

Logistics

Warehouse automation, cold chain monitoring, fleet maintenance coordination, loading dock operations.

🏢

Campus Operations

Educational campuses, hospitals, corporate HQs — complex multi-building facilities with diverse maintenance needs.

The future of operations is not managed. It is autonomous.

Every facility, every machine, every system — monitored, diagnosed, and resolved without human latency. That world exists. We're building it for yours.