The platform

One platform, from the sensor to the system of record.

Connect your business systems and machines, discover the real processes across OT and IT, deploy governed AI digital workers, check them against golden scenarios, and govern every action.

Connect & understand

A living knowledge graph across every system.

Manifest-driven connectors bring in your SaaS, ERP, HR and data systems, and edge adapters bring in the plant floor. Records normalize into entities and relationships, so you get one model of how your operation actually runs.

  • 68-connector catalog: 41 IT with a live REST/OAuth path, 27 OT on sample data
  • Entity + relationship extraction with source traceability
  • Asset twins that span the graph
OPC UALIVE
opc.tcp · 214 tags
MQTTLIVE
Sparkplug B · 96 topics
MTConnectSAMPLE
catalog · sample data
Modbus TCPSAMPLE
catalog · sample data
ERPLIVE
REST · OAuth
CRMSAMPLE
REST · OAuth
ITSMLIVE
work orders · REST
HRISSAMPLE
people · roles
Data warehouseSAMPLE
SQL over REST
FilesSAMPLE
SOPs · drawings
IdentitySAMPLE
users · groups
MessagingSAMPLE
alerts · threads
Live 4 of 12 · the rest on sample data
Example stack

Plant floor (OT)

Discover the as-run process from raw machine telemetry.

Ingest live over OPC UA and MQTT Sparkplug B, then rediscover the real technological flow, where reality diverges from the master recipe, where the bottleneck is, and which asset is degrading.

  • Live OPC UA and Sparkplug B edge ingestion, no data hand-labeled
  • Conformance vs. master recipe + bottleneck
  • Condition monitoring / predictive maintenance
Plant to ledger · ISA-95 levels · example
L0FieldSensors, drives, pumpsL1ControlPLC · safety systemL2SupervisorySCADA · HMIL3OperationsMES · historian · CMMSL4BusinessERP · CRM · financeGoverned layerReads every level. Writes wait at the gate.READINGS IN, LAST MINUTE1,710WRITES APPROVED AT THE GATE3WRITES BELOW SCADA0no path, by constructionplant readingbusiness readingapproved writeblocked
Example flow on the sample estate

Machine telemetry

Live gauges and 24h–90d history, model-ready.

Every machine gets its own view: temperature and spikes, vibration and its dominant frequency, RPM, flow, reservoir level, throughput, recorded continuously and exportable to train anomaly, RUL and forecasting models.

  • Per-signal history: 24h · 7d · 30d · 60d · 90d
  • Vibration frequency spectrum for bearing defects
  • Training-ready CSV export
Coolant Pump 03
Drive end · mm/s RMS · medium machine, rigid
3.9mm/s
Warning
ZONE DZONE CZONE A/B2.84.514:0020:0002:0008:00now
Proposal · awaiting approval

Replace drive-end bearing in Saturday's 06:00 window. Reliability Sentinel, score 0.86.

Example

Govern

Human-in-the-loop, with autonomy that's earned.

Every pending action arrives decision-ready, the agent's measured track record, the risk, and a recommendation. Deciding feeds the human signal back into the ledger that governs each agent's authority.

  • Risk-tiered approval inbox
  • Agent trust + earned authorization
  • Notifications to any incoming webhook (Slack-compatible), plus email
Work order · Coolant Pump 03Awaiting approval
Action
Raise maintenance work order
Risk
Medium · €1,840 est.
Signer
Reliability lead
Approved by Reliability leadwhy: defect confirmed on spectrumrisk Medium
Work order proposedMaintenance Plannerrisk Medium
Diagnosis, score 0.86Root-Cause Analystouter-race defect
Finding, zone CReliability Sentinel4.0 mm/s RMS
✓Recorded: who signed, why, risk
Example

Prove

Golden scenarios and regression gates.

Golden scenarios check each built-in agent for correct findings and unsafe targets, including the negative cases. Promotion is driven by approved, effective outcomes in production. Changes to an agent are shadow-tested against its history and blocked if they regress.

  • Golden scenarios with a safety check
  • Per-agent scores vs. baseline
  • Shadow-tested changes, blocked on regression
Actions32
Trust0.98
Autonomousacts alone
Supervisedwith approval
Advisoryproposes

Promoted to Autonomous · 10 actions, trust 0.94

Example run · the product's promotion policy

Command center

One pane over the whole operation.

Detected processes, quantified automation opportunities, digital workers, pending approvals and the agent fleet, the operating picture from the plant floor to the back office, in one place.

  • Detected processes + ROI opportunities
  • Digital workers + executions
  • Fleet, runtime & control tower
Sensetelemetry in
Diagnoseroot cause
Proposeone action
Approvea person signs
Executevia work-order API
Verifykept or rolled back
14:02:11SENSEDrive-end bearing at 4.0 mm/s RMS, into ISO 20816-3 zone C.
14:02:12DIAGNOSEOuter-race defect frequency. Score 0.86 from 5 pieces of evidence.
14:02:14PROPOSEReplace DE bearing, Saturday 06:00, 3.5 h.
14:09:40APPROVEReliability lead approved. Reason recorded.
14:09:41EXECUTEWork order WO-48213 raised. PLC untouched.
Sat 09:52VERIFY2.1 mm/s RMS, zone A/B. Outcome kept.
Example run · Coolant Pump 03

Go deeper

One page per capability, with use cases and a model you can run.

Platform · Connect
Connectors

Connect every system, from the plant floor to the back office.

897 apps; 29% connected

The average enterprise runs 897 applications, and only 29% of them are connected.

MuleSoft (Salesforce), with Vanson Bourne & Deloitte Digital, 2025

Platform · Connect
Knowledge Graph

One model of your operation, not thirty disconnected systems.

$12.9M/year

Poor data quality costs organisations at least $12.9 million a year on average.

Gartner, 2020

Platform · Operate
Digital Workers

Governed AI agents that act, not just advise.

>40% cancelled by 2027

Gartner predicts over 40% of agentic AI projects will be cancelled by the end of 2027, citing cost, unclear value and weak risk controls.

Gartner (via Process Excellence Network), 2025

Platform · Operate
Automations

The platform finds the automations worth doing.

>30% growth (2024); >$2B by 2028

Process-mining software spending grew more than 30% in 2024 and is forecast to pass $2 billion by 2028.

Gartner (via Process Excellence Network), 2025

Platform · Autonomy
Agent Evals

Check your agents against scenarios, and gate every change.

362 incidents (2025), from 233

Documented AI incidents rose to 362 in 2025, up from 233 in 2024, while responsible-AI benchmarking remains sparse.

Stanford HAI, 2026

Platform · Operate
Machine Telemetry

Bring the plant floor into the governed platform, safely.

4x since 2019 (heavy industry), 2x (automotive)

An hour of downtime in heavy industry costs four times what it did in 2019; in automotive, twice.

Siemens, 2024

Platform · Organize
Operating Model

Your org chart, as a model you can change and price.

>20% of productive capacity

The average company loses more than 20% of its productive power to organizational drag.

Bain & Company, 2017

Everything in the platform

Sixteen modules. One governed operating layer.

Connectors
Knowledge graph
Process mining
Plant floor (OT)
Machine telemetry
Energy trade-off
Digital workers
Agent fleet
Author agent
Agent evals
Control tower
Approvals
Audit log
Compliance
Command center
Operating model

Operations X-Ray

See it on your own operations.

Ask for a guided walkthrough, or start with an Operations X-Ray of one line.