SynaFox fox-head mark SYNAFOX

One platform. Every phase of your infrastructure lifecycle.

Design, simulate, deploy, and continuously optimize — with predictive AI woven through every step, from data lake to plant floor.

40% Combined efficiency gain
2 Pilots in the pipeline worth $540K
4 Operating regions: MI / LA / NC / TX
$157M Annual recovery target, MISO + ERCOT

The AI engine that turns raw data into foresight.

Synagent is our proprietary large language model, trained for infrastructure operations. It ingests live and historical project data, identifies patterns and inefficiencies, and flags risks before they occur — accelerating simulation to de-risk high-value processes across the entire development lifecycle.

  • Processes live + historical operational data
  • Predicts inefficiencies and risks pre-emptively
  • Accelerates digital twin simulation cycles
  • Learns your facility over time
Synagent AI data transformation visualization

Fig. 02 — Synagent: chaotic inputs, ordered predictions

From plant floor to prediction — in one continuous loop.

01 / INPUT

SCADA & Sensors

Live telemetry, historical records, and legacy system data stream into the unified data lake.

02 / ANALYZE

Synagent AI

The proprietary LLM detects patterns, inefficiencies, and emerging risks in real time.

03 / SIMULATE

Digital Twin

Scenarios run against a faithful simulation — validating every change before production.

04 / ACT

Operator Alerts

Each stakeholder's AI partner delivers alerts and optimization actions — human in the loop.

Continuous loop — every action feeds back into the data lake

Test everything. Break nothing.

SynaFox constructs a faithful simulation of your facility — from substations to production lines — and runs scenario testing against it. Evaluate design changes, load conditions, and failure modes in software, so high-value, high-risk decisions are settled before capital is committed. Hardware-in-the-loop optimization closes the gap between simulation and the physical plant.

  • Scenario & stress testing
  • Pre-engineering validation
  • Hardware-in-the-loop optimization
  • Cost-efficient predictive modeling

Continuous oversight, immediate response.

Live telemetry flows through smart optimization algorithms that dynamically reassign budgets, personnel, and materials to the highest-impact areas — reducing waste and downtime while keeping you ahead of compliance issues.

  • Proactive alerts & anomaly detection
  • Dynamic resource reallocation
  • Compliance & risk tracking
  • Big-data benchmarking

Augmenting expertise — never replacing it.

Every stakeholder gets an AI partner that surfaces optimization tasks, alerts, and real-time suggestions in their workflow. Operators keep authority over every decision; Synagent keeps them ahead of every problem. AR-enhanced operations and the SynBox GPU control unit bring this intelligence to the plant floor.

  • Per-role AI partner
  • AR-enhanced operations
  • SynBox GPU control integration
  • Operator-authority controls

Built for environments where the cloud is optional.

A secure, scalable cloud + local-native hybrid architecture keeps sensitive operations on-site and mission-capable even when disconnected — enterprise-ready for energy, defense, and industrial deployments, with FedRAMP High deployment available at the Enterprise tier.

  • On-site & offline operation
  • Autonomous control modes
  • Seamless SCADA & legacy integration
  • FedRAMP High available

Where legacy industrial platforms stop, SynaFox starts.

Traditional industrial IoT suites live in the cloud and stop at dashboards. SynaFox goes to the edge, into the loop, and onto the plant floor.

Capability SynaFox Legacy IIoT
Edge / on-site / offline autonomous control
Cost-efficient digital twin & predictive modeling
Human & hardware-in-the-loop
GPU control box & AR integration
Cloud-based industrial IoT analytics

Comparison vs. representative cloud IIoT platforms (e.g., MindSphere-class)

Next step

Run the scenario before it runs you.

See Synagent and the digital twin engine on your own use case.