Elwids
Offer · 30 days · One site, line, building, or asset group

Map the fastest path from existing site data to usable operational intelligence.

We identify the critical parameters across your machines, meters, PLCs, BMS points, sensors, gateways, and business systems, then validate the highest-value data sources and return a focused roadmap for live visibility, reports, alerts, automation opportunities, and measurable ROI.

Send a simple note first. We'll collect the technical details in the follow-up once we understand what you want to prove.

What you get

  • Critical parameter inventory across assets, utilities, and systems
  • Priority data-source and protocol map
  • Integration, access, and network-readiness assessment
  • Live data sample or visibility prototype where access allows
  • Top use cases ranked by business impact and effort
  • Alert, reporting, analytics, and automation opportunities
  • Security, ownership, and IT/OT approval notes
  • Recommended data foundation rollout for the first 30, 60, and 90 days
  • ROI hypotheses for downtime, energy, water, quality, compliance, or reporting effort
  • Executive-ready operational data report

Assessment tracks

Choose where intelligence should start

Start with the operating pain that is easiest to prove, then expand on the same trusted data layer.

Factory & machines

PLC tags, machine states, OEE signals, downtime reasons, quality signals, and maintenance alerts.

Energy & buildings

Meters, BMS points, HVAC runtime, demand patterns, Scope 1 & 2, and waste intelligence.

Water & utilities

Tank levels, flows, pumps, treatment, reuse, discharge, leak signals, and compliance records.

Cold chain & logistics

Rooms, reefers, routes, fuel, door events, temperature excursions, and audit-ready evidence.

The 30 days

How it actually runs

  1. Step 1

    Review the business goals, site context, assets, and operating decisions that need better intelligence.

  2. Step 2

    Map critical parameters, existing data sources, protocols, users, ownership, and network constraints.

  3. Step 3

    Validate priority data capture through telemetry, APIs, exports, or integration design.

  4. Step 4

    Translate captured signals into visibility, derived context, alerts, reports, and automation opportunities.

  5. Step 5

    Deliver findings, risks, ROI hypotheses, and a data-foundation rollout roadmap.

Decision-ready outputs

Three things your buyer group can act on

Operations gets the first visibility layer: which signals matter, where blind spots sit, and which decisions can improve fastest.
Engineering and IT/OT get the architecture: protocols, access needs, data ownership, security notes, and rollout risks.
Finance gets a prioritized ROI case that links data capture to downtime, energy, water, compliance, quality, or reporting effort.

Ready when you are

Want to talk through one site, line, building, or asset group?

Send us a note from the contact page. We can gather the deeper technical details together after we understand the outcome you want to prove.