• 🔴 Do you repair equipment only after it breaks?
    We turn your sensor and log data into failure predictions.
  • 🔴 Do you have SCADA data but no insights for management?
    We transform raw signals into health scores and OEE.
  • 🔴 Do unplanned stops cost more than maintenance itself?
    We help you plan maintenance windows.
🔴 Sensors were already telling the story. Why did no one listen?
We listen for you and alert before the break.
🔴 Do you still run 'fix it when broken' in 2025?
We let you move to condition based maintenance.
💯 Practice Areas
ADG Predictive Industrial Analytics ingests sensor, telemetry and maintenance data, detects anomalies and predicts failures.

We integrate with CMMS/TOiR/EAM so your engineers receive actionable tasks, not just dashboards.

🔸 Fewer emergency stops.
🔸 Lower maintenance costs through planning.
🔸 Clear ROI from sensors and telemetry.
🔸 Transparency for management (what will fail, when and why).
🔸 Integration with existing maintenance tools.
🔸 Basis for digital twin in future.
How It Works
Signal tap
Connect OPC/MQTT/CSV, fix timebases and units, buffer bursts, and write to a time-series store with retention tiers.
Health baselines
Compute per-asset baselines and anomaly scores. Validate with technicians so scores reflect real wear, not math quirks.
Failure models
Train RUL/failure probability with simple, testable features. Calibrate thresholds to business cost of false alarms vs misses.
Actions, not charts
Alerts pipe into CMMS/EAM as tickets with asset, reason and due-by. Operators never need to open a dashboard to act.
Pilot in prod
Run on a small line, verify prevented stops and spare savings. Iterate until ops say alerts are useful and timed right.
Scale-out
Roll to more assets, add vendor feeds, set rolling retrain jobs and monitoring for model drift.
Managed analytics (optional)
Own retraining, drift and ROI tracking, quarterly threshold review and component aging insights.
Documentation & Reporting (optional)
We produce lean, engineer-first artifacts that can scale to audit grade if needed - diagrams, IaC refs, runbooks, SLO dashboards, and change logs. Evidence packs are versioned and reproducible: links point to live systems or CI exports, not slides. Scope is tailored per client - from a 1-page ops sheet to a full compliance bundle with test replays and data lineage. If you prefer, we keep it minimal and focus on code and metrics only.
What you pay for
  • 🟢 Pilot
    Data ingestion for selected assets, health scoring, first predictive models.
  • 🟢 Production rollout
    Scale to more assets/lines, CMMS/EAM integration, acceptance.
  • 🟢 Support
    Monitoring models, retraining, SLA reporting.

General transparency note

Pricing reflects two components where applicable:
✅ Expert work
Architecture, implementation, monitoring, reporting.
✅ Resources
Compute, storage, network and third-party tooling used to meet your SLAs
On-prem deployments and high-frequency telemetry are quoted after scoping due to hardware, retention and security needs.