Wonder DataLabs

Sentinel — the architecture in detail.

Three layers. Four pillars in DataOps Core. WISE running through every layer as engine and interface.

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.

DataOps Core — four pillars working as one.

ORCHESTRATE governs autonomous operations across INGEST, TRANSFORM, and ACT. Same data layer, same agents, same audit ledger.

INGEST

Connect & unify

Connect any operational data source — structured, unstructured, time series — into one agent-readable layer.

  • →Historians, ERPs, CMMS, HSE documents, PDFs, audio, video — federated into a single query layer
  • →Sub-second polling on time-series sources, configurable batch on enterprise systems
  • →Two deployment modes: ingest into Sentinel's storage, or read in place without moving data

TRANSFORM

Build intelligence

Build analytics and ML models three ways: write code, drag-and-drop pipelines, or describe what you want and let the AI Data Scientist agent build, train, validate, and deploy.

  • →Full Python IDE in the platform with one-click deployment to production
  • →Existing notebooks and scripts import directly — no rewriting
  • →One model definition deployed across many assets — scale a compressor model to fourteen compressors with one wizard

ACT

Alert & act on results

Industrial-grade alert management with full traceability. Every alert has a defined lifecycle and every state change is recorded in an immutable audit ledger.

  • →AI pattern detection across the fleet — a signature on one rig auto-checked against every other asset
  • →Fourteen-day verification before escalation, eliminating false-positive fatigue
  • →Whitelisting with full justification history; multi-channel delivery (email, Slack, Teams, SMS, webhooks)

ORCHESTRATE

Govern autonomous operations

The control plane for autonomous agents. Build agents through a visual workflow builder — schedule, reasoning, queries, model invocations, alert generation, action execution.

  • →Permissions are explicit and auditable — read but not write, recommend but not execute, act on certain assets but not others
  • →Any user can create their own agent — define what it watches, how it reasons, what it can do
  • →Agent-to-agent coordination — agents pass context, escalate decisions, collaborate on multi-step problems

Two deployment modes.

Sentinel adapts to your data architecture — whether you want a unified data fabric or you need your data to never leave its current home.

01

Ingestion mode

Sentinel ingests, normalizes, and stores your operational data in its own optimized layer. Built for enterprises that want a single, agent-ready data fabric — composed once, queried by everything.

02

Abstraction mode

Sentinel never stores your data. It connects to your existing infrastructure as a pure abstraction and intelligence layer on top. Built for enterprises with strict data residency, sovereignty, or governance requirements.

See Sentinel against your data.

Demos run on your operational data, your assets, your workflows. Zero to validated value in one week.

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