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The Future of the
Infrastructure is Predictive

Qatalyst deploys industrial IoT sensor networks and AI-driven analytics to transform aging infrastructure into self-aware, continuously monitored assets.

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0 M

Structural data points

0

Critical sectors served

0 .7%

Sensor uptime SLA

— INFRASTRUCTUTE FITNESS 

From Quarterly
Inspections to
24/7 Intelligence.

Traditional infrastructure management relies on periodic manual inspections – snapshots of a system that never stops changing. Qatalyst replaces this with a continuous monitoring layer: always on, always aware, always predictive.

  • Sensor nodes transmit every 15 seconds
  • Anomalies flagged within 30 seconds
  • Predictive failure windows up to 90 days ahead
  • Zero site visits required for condition assessment
$ 0 .8M
Capital Expenditure Avoided

Across active client deployments, Qatalyst's predictive intervention model has eliminated unplanned structural failures they required capital repairs.

0

Structures Monitored

0

Countries Deployed

0

Days AVG. Advance Warning

―The technology 0 ―
Infrastructure-grade.
Enterprise-ready.
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Every layer of the Qatalyst platform is purpose-built for large-scale civil and industrial infrastructure.

IP67-Rated Sensor Array

Fully submersible, dust-proof sensors for harsh field conditions. Operating range: -40°C to +85°C.

Unified Cloud Dashboard

A single pane of glass across your entire asset portfolio. Real-time telemetry, anomaly alerts, and executive reporting.

Predictive Analytics Engine

ML models trained on 200M+ structural data points detect failure signatures up to 90 days before observable damage.

Zero-Trust Security

End-to-end AES-256 encryption with hardware-level key storage. FIPS 140-2 validated cryptographic modules.

Executive Reporting Suite

Auto-generated risk reports aligned to ASCE 7, Eurocode, and ISO 13374 standards. Board-ready in one click.

Modular Deployment

Edge-compute nodes to hyperscale cloud. Deploy on-premise, hybrid, or fully managed. Scale from one site to thousands.

―SECTORS 0
Deployed Across
Critical
Infrastructure.
Telecom

Tower structural health monitoring

Bridges

Real-time load & fatigue analysis

Power Grid

Transmission line condition monitoring

Commercial Real Estate

HVAC & structural integrity sensing

Water Infrastructure

Pipeline pressure & leak detection

Industrial Plants

Vibration analysis & predictive maintenance

Rail & Transit

Track deformation & rolling stock monitoring

Renewable Energy

Wind turbine blade & foundation health

Defense

Critical asset structural monitoring

Smart Cities

Urban infrastructure digital twin

―LEADERSHIP 0
Deployed Across
Critical
Infrastructure.
Saimoon Bhuiyan

MANAGING DIRECTOR

Our Partnerships Director leads Qatalyst's expansion across government, multilateral, and enterprise accounts. With deep experience in public infrastructure procurement and private sector technology commercialization, they architect the long-term relationships that underpin mission-critical deployments.

  • B.Sc. Civil Engineering, BUET
  • MBA, London Business School
  • Fellow, Institution of Engineers Bangladesh

Director of Strategic Partnerships

DIRECTOR STRATEGIC PARTNERSHIP

Our Partnerships Director leads Qatalyst's expansion across government, multilateral, and enterprise accounts. With deep experience in public infrastructure procurement and private sector technology commercialization, they architect the long-term relationships that underpin mission-critical deployments.

  • Specialist in PPP frameworks
  • 10+ years infrastructure advisory
  • Position open for the right leader
OUR MISSION

"To make infrastructure failure a choice of inaction, not a product of
ignorance. Every asset we monitor is one catastrophe we prevent."
-- Qatalyst Consulting, founding charter.

―The technology 0 ―
Request a Technical
Assessment.
0

Our engineering team will review your infrastructure portfolio and deliver a preliminary risk profile and deployment roadmap - complimentary for qualifying organizations.

  • info@qatalyst.consulting
  • +880 (0) 1700-000000
  • Dhaka, Bangladesh . London, UK