Know a failure is coming before it happens.

Pulsegrid reads live sensor data from your equipment, predicts failures days in advance, and tells your team exactly what to check — before downtime hits.

0Sensors connected
0Failures caught early
0.2dAvg. lead time
0%Uptime improvement

built_for_teams_who_cant_afford_downtime

Manufacturing plants Utilities Logistics fleets Facilities teams Energy operators Water treatment Data centers
the_problem

Equipment fails without warning — and it's expensive.

Most maintenance is reactive: fix it after it breaks, or replace it on a fixed schedule whether it needs it or not. Both waste money and cause downtime.

3.2xmore downtime from reactive maintenance
$40k+average cost per unplanned outage
09:14:02
Pump #4 bearing vibration exceeds thresholdFailure predicted in 4 days
critical
09:20:47
Compressor #2 temperature trending above baselineWatch — no action required yet
warning
09:31:10
Conveyor motor #7 nominalNo anomalies detected
normal
the_solution

One system to monitor, predict, and alert — automatically.

Pulsegrid sits on top of your existing sensors and scores every asset for failure risk in real time.

Monitor

Live sensor readings ingested continuously from every connected asset.

Predict

AI scores every asset for failure risk, days before it happens.

Alert

Your team gets a plain-language alert with lead time, before it fails.

ai_technology

Prediction is the engine, not a dashboard feature.

Pulsegrid is built around a purpose-trained forecasting system for industrial sensor data.

data_in

Every signal an asset produces

Vibration, temperature, pressure, and current readings, plus maintenance history and asset age.

vibrationtemperaturepressure
data_out

Risk scores, lead time, root cause

A failure-risk score per asset, predicted lead time, and a likely root cause to guide the technician.

risk_scorelead_timeroot_cause
techniques

Time-series forecasting & anomaly detection

Models trained on failure patterns across asset classes, with sensor fusion across multiple signal types.

forecastinganomaly_detectionsensor_fusion
why_scale

Continuous scoring, not a nightly batch

Sensor data streams constantly. GPU-accelerated inference scores every asset in real time, not once a day.

gpu_inferencereal_time
product_features

Everything a lean maintenance team needs to get ahead of failure

Failure Prediction & Lead Time

Know which asset will fail and roughly when — days in advance.

Live Sensor Monitoring

Real-time visibility into every connected asset's vitals.

Root-Cause Hints

A likely cause suggested alongside every alert, not just a warning.

Maintenance Scheduling

Auto-suggested maintenance windows based on predicted risk.

Asset Health Scores

A single score per asset, tracked over time, not just pass/fail.

Team Alerts & Escalation

Critical alerts routed to the right technician automatically.

how_it_works

From sensor reading to scheduled fix in four steps

01

Connect sensors

Link existing sensors or install Pulsegrid-ready ones.

02

AI scores risk

Every asset scored continuously for failure risk.

03

Team gets alerted

Plain-language alert with lead time and likely cause.

04

Maintenance scheduled

Fix it on your terms, before it fails on its own.

technology_and_infrastructure

A modern, secure tech stack built for continuous streams

Pulsegrid runs on cloud infrastructure for secure data ingestion, API hosting, and AI inference — with GPU-accelerated compute powering prediction at scale.

Cloud infrastructure

Secure, scalable ingestion keeps every site's sensor data isolated and encrypted.

GPU-accelerated AI

Accelerated compute powers continuous risk scoring across every connected asset.

Security & compliance

Encryption in transit and at rest, with role-based access for operational data.

70%of unplanned downtime is preventable
market_opportunity
Target users

Manufacturing plants, utilities, logistics fleets, and facilities teams running critical equipment.

Launch markets

Nigeria, Kenya, and South Africa first — expanding to UK and US industrial operators.

Revenue model

Per-asset subscription plus a tier for multi-site fleets.

Growth plan

Land through maintenance consultants and OEM partnerships, expand by asset count.

traction_and_mvp_status

Early, but real

Pulsegrid's MVP is live with a first cohort of organizations. Current beta figures — reported honestly.

0
sensors connected
0
failures caught early
0%
prediction accuracy (beta)
Live
MVP in active use
roadmap

What we're building next

v0.1shipped

Failure prediction engine

Real-time risk scoring, live in the MVP today.

v0.2shipped

Root-cause hints

Likely-cause suggestions attached to every alert.

v0.3in progress

Maintenance scheduling

Auto-suggested maintenance windows based on risk.

v0.4next

Mobile technician app

Alerts and asset history in the field.

v0.5planned

OEM & CMMS integrations

Direct connections to common maintenance systems.

v0.6planned

Multi-site fleet analytics

Portfolio-wide reliability reporting across sites.

team

Real people building Pulsegrid

A small team of engineers and reliability specialists.

TM

Tariro Moyo

Founder & CEO

Leads Pulsegrid's mission to help industrial teams catch equipment failure before it costs them downtime.

CN

Chibueze Nnamdi

Co-founder & CTO

Leads Pulsegrid's forecasting models, sensor-fusion pipeline, and cloud infrastructure.

get_started

See Pulsegrid on your own equipment in 20 minutes

Book a walkthrough — no commitment. We'll show you a live risk score on sample sensor data.

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