The Platform

Zensory.ai™ — autonomous wellsite intelligence that alerts only on what matters.

One platform. Three senses. Zensory.ai™ gives a remote site sight, sound, and smell — then learns what normal looks like there, so it discerns the one abnormal event from layers of routine activity. It doesn’t flood you with signals. It surfaces the needle in stacks of needles.

Baseline — nominal Sight · Sound · Smell Edge-resident · Always on

The three senses

A site can be watched, heard, and read for emissions — at once, continuously.

Most platforms treat every signal as suspicious and bury operators in alerts. Zensory.ai™ fuses three sensing modes on one system and learns each site, so the alert you get is the one that needs a response.

01 / Sight

High-resolution cameras with AI object detection

Continuous visual surveillance with 360° site coverage. The system does not just record footage — it understands what it sees, classifying objects and reading site activity frame by frame.

  • Detects trucks, tankers, personnel, and equipment in real time
  • PPE and hard-hat compliance monitoring on active sites
  • After-hours security and unauthorized-access awareness
  • Logistics verification — logs tanker custody visits automatically
CAM 03 — 360° YARD PPE — NON-COMPLIANT
TANKER 97.4%
PERSON · NO HARD HAT PPE
TRUCK · LOGGED CUSTODY

Object detection overlay · 360° yard coverage · representative view

COMPRESSOR · MIC 02 BASELINE — NOMINAL

Live acoustic signature scored against the learned fingerprint

02 / Sound

Acoustic monitoring with AI abnormal-sound detection

A patented approach born on natural gas compressors. The system captures audio continuously and evaluates each sound through overlapping analysis windows, listening for trouble inside an environment that is inherently and continuously loud.

  • Site-specific acoustic baseline learned in approximately two days
  • Overlapping windows score live audio against the learned fingerprint
  • Extends to engines, pumps, fans, and valves
  • Predictive maintenance — minutes to hours of acoustic warning before failure

03 / Smell

Optical Gas Imaging with long-wave infrared cameras

Continuous methane and VOC detection using LWIR (OGI) cameras — not a quarterly snapshot. Emissions are watched around the clock, and the system carries a capability most monitoring cannot: it tells fugitive emissions apart from process emissions.

  • Continuous methane and VOC detection, day and night
  • Long-wave infrared optical gas imaging
  • Differentiates fugitive emissions from normal process emissions
  • Complete emissions record collected for compliance — alerts only on the anomaly
OGI · LWIR FUGITIVE — FLAGGED
Fugitive · separator
Process · normal

Fugitive emissions discriminated from routine process emissions

How it works

Sensing at the edge, learning the site, alerting on exception.

The intelligence runs on the wellsite itself — so detection keeps working whether or not the network does, and the only thing that travels is the alert that matters.

  1. 01 EDGE

    Onsite edge computing

    Independent, localized processing and storage at the wellsite. Detection does not depend on a live connection — data is stored locally and synchronizes automatically when the network is available.

  2. 02 LEARN

    AI site learning

    Machine learning establishes a normal baseline in approximately two days across load and environmental variation. A site configuration change triggers a reset, and the model re-learns the site’s current normal.

  3. 03 ALERT

    Alert on the anomaly

    When a not-normal condition occurs, the platform delivers near real-time alerts to the Well Checked Dashboard, email, text, and SCADA via API — so the response starts the moment it matters.

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Years of experience
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Remote sites monitored
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Videos analyzed per site, per day

Product tiers

Two tiers on one platform — detection first, then defensible data.

Zentinal Core™ delivers autonomous detection with the false-alarm-elimination intelligence operators need to trust an alert. Zentinal IQ™ adds quantification and regulatory-ready reporting on top of validated events.

Foundation tier

Zentinal Core™

Autonomous, AI-driven wellsite monitoring with false-alarm-elimination intelligence.

  • Multi-sensor fusion — video, IR, and OGI on one system
  • AI event validation that filters out false alarms
  • Near real-time alerts to dashboard, email, text, and SCADA
  • Rugged, reliable, always-on for harsh field environments

Your First Line of Autonomous Defense.

Quantification tier

Zentinal IQ™

High-accuracy methane quantification, emissions intelligence, and regulatory-ready reporting.

  • Quantification with defensible accuracy on validated events
  • Emissions trend analysis over time
  • Automated compliance logs
  • High-resolution event reconstruction
  • Built for ESG, compliance, and high-value assets

From Detection to Defensible Data.

Zentinal IQ™ quantifies emissions only after Zentinal Core™ has validated the event — so the numbers you report rest on a detection you can stand behind.

Integration

Plugs into the systems your team already runs.

  • SCADA via API
  • CMMS / work-order systems
  • Emissions reporting tools
  • Operator dashboards

Get started

Get started with a pilot program.

See Zensory.ai™ on your own sites. Pilot programs run alongside your existing LDAR cycles — your team keeps its current routine while the platform learns the site and proves the alerts.