Wonder DataLabs
Industrial operator with tablet on refinery platform

Industrial AILive with Fortune 500

The operating system for industrial operations.

One platform replacing a stack of SaaS solutions in the hardest industrial environments in the world.

Explore Sentinel

Industrial data is trapped. Horizontal AI can’t read it.

Decades of operational knowledge sit locked in silos. Generic AI has no context to act on it — and the experts who do are walking out the door.

80%

of enterprise data sits unused for AI

ERPs, SCADA, historians, CMMS, HSE docs — siloed, unstructured, disconnected from the workflows they should power.

Gartner 2024

95%

of GenAI pilots show no P&L impact

Horizontal AI is powerful but context-less. Outputs are interesting; results are rare. Industry needs AI that knows the asset.

MIT NANDA 2025

40%

of industrial workers retire by 2030

The problem compounds: the people who know the asset are leaving, and no playbook captures what they know.

Deloitte 2024

Industry needs a platform that unifies its data, encodes its expertise, and acts with asset-level context. That’s Sentinel.

Sentinel starts with the data layer — then builds the stack above.

Most AI platforms skip the hardest step. Sentinel owns it — then delivers vertical modules and agents on top. WISE, the multi-agent AI engine, runs through every layer.

L3

WISE

Multi-agent AI engine + interface. Specialized profiles, executable Skills, mobile/desktop/API.

L2

Modules

Vertical solutions. One backbone. Available via custom frontends or API.

L1

DataOps Core

Ingest · Transform · Act · Orchestrate. Four pillars working as one.

Architecture detail
L3

WISE

Multi-agent AI engine + interface

Specialized AI profiles reasoning in parallel · Connectors · 50+ executable Skills · Mobile · Desktop · API

L2

Vertical Modules

Packaged on the same backbone
Asset MonitoringAPMProcess SafetyOperationsProduction Opt.Commercial Intel.
L1

DataOps Core

The foundation
ORCHESTRATE — AgentOpsAgent creation · Governance · Workflows · Autonomous operations

INGEST

Connect & unify any source — ERPs, SCADA, historians, CMMS, HSE docs.

TRANSFORM

Build analytics & ML models — code, no-code, or autonomous AI Data Scientist.

ACT

Industrial-grade alerts — full lifecycle, audit ledger, escalation, multi-channel.

Connects to your stack.

Sentinel meets your data where it lives — historians, ERPs, CMMS, cloud platforms, document systems, intelligence APIs. Production-grade integrations across the systems running your operation today.

Time-series & operational

OSIsoft PI System · AspenTech IP.21 · Honeywell PHD · GE Proficy · InfluxDB · OPC-UA · Modbus TCP · MQTT

Enterprise systems

SAP · Oracle · IBM Maximo · Infor EAM · Microsoft Dynamics

Cloud data platforms

Microsoft Fabric · Snowflake · Databricks · Azure Blob Storage · AWS S3 · Google Cloud Storage

Document systems

SharePoint · Google Drive · Box · Dropbox

Industry intelligence

Wood Mackenzie · Rystad Energy · S&P Global

The industrial enterprise we’re building toward.

Two states of the same operation. The platform is the bridge.

Today

Industrial operations, as they are.

  • ×Data trapped in silos no one can query.
  • ×Reactive maintenance — fix it when it breaks.
  • ×Knowledge in heads, walking out the door.
  • ×AI pilots that never leave the lab.

On Sentinel

Industrial operations, reimagined.

  • Unified data — every asset, every source, AI-ready.
  • Predictive action — failures flagged weeks early.
  • Knowledge encoded — expertise compounds per deployment.
  • Agents in production — measurable P&L from day one.

Arrive Monday. Live by Friday.

From data to working agent in five days. What takes the industry six months, Sentinel proves in a week.

  1. Day 01

    Mon

    Connect & scope

    Data source connection. Ingestion configuration. Problem definition with operator team.

  2. Day 02

    Tue

    Ingest & unify

    Sentinel normalizes operational data sources into a single agent-readable layer.

  3. Day 03

    Wed

    Build intelligence

    Models, analytics, and agent profiles built side by side with your engineers — code, no-code, or autonomous.

  4. Day 04

    Thu

    Configure & test

    Workflows, alerting rules, escalation paths. End-to-end agent runs against live data.

  5. Day 05

    Fri

    Demo & validate

    Live demonstration with stakeholders. Go-live roadmap. Production handoff.

Live with stakeholders by Friday. Production roadmap in hand.

Now deployedF500 enterprises across heavy industry

The plant floor deserves better AI.

Built by operators, for operators.