Machine, Equipment & Instrument Manufacturers

Make your equipment smarter with Data and AI

Boosting your top-line across design, development and after-sales

  • 3X Faster GTM with accelerators
  • 40% lower development costs with AI across SDLC
Explore a Use Case Talk to an IoT Specialist
Industrial IoT Consulting

Built for mid-market OEMs

Equipment, instruments, smart devices and data-emitting products

Sensor → Software

Connected assets to data, analytics, AI and customer applications

Industrial proof

Test & measurement, smart metering, energy, renewables and machinery

The growth ambition

Your hardware is already valuable. Intelligence can make it more valuable

Your customers increasingly expect connected products, easier control, faster insight and proactive service. The challenge is turning those expectations into a practical product roadmap without disrupting what already works.

1

Sell more intelligent equipment

Differentiate products with connected, data-driven capabilities customers can see and use.

2

Create value beyond the sale

Extend the customer relationship through monitoring, analytics, remote services and recurring digital value.

3

Move the roadmap faster

Bring product, software and architecture expertise together to release the right capabilities with greater confidence.

What gets in the way

Your product's journey and where it gets hard at every step

The pressure points split cleanly before and after the sale. Pick your product type and see both sides at once.

Machines: CNC, Milling, Drilling, Furnaces, Forming, etc.

Pre-Market Challenges
01
Design and Prototype
Time to market · Engineering accuracy
02
Procurement
Raw material. Parts
03
Customizations
As per client requirements
04
FAT
Field Acceptance testing
05
Pre-dispatch inspections
Config accuracy · Dispatch readiness
Hardware
sale
After-Sales Challenges
01
Commissioning and training
Fast ramp-up · Setup accuracy
02
Production
Performance monitoring · Quality · Consumption · Throughput
03
Maintenance
Unplanned downtime · Root cause analysis · Repair
04
Retrofit
Legacy upgrade · Minimal disruption
05
End-of-life
Asset ageing · Replacement planning

Equipment: HVAC Units, Compressors, Pumps, Wind Turbine Generators, etc.

Pre-Market Challenges
01
Design
Design for reliability · Time to market
02
Prototype
Field-condition validation · Iteration speed
03
Manufacture
Build quality · Traceability
04
QA & Test
Durability testing · Compliance
05
Pre-ship config
Config accuracy · Readiness
Hardware
sale
After-Sales Challenges
01
Install & Setup
Setup accuracy · Commissioning time
02
Remote Monitoring
Field visibility · Efficiency tracking
03
Service & Repair
Remote diagnostics · Response time
04
Integration
System interoperability · Scalable APIs
05
Warranty
RUL & asset ageing · Retention

Instruments: Test & Measurement Devices, Meters & Data Loggers, Actuators, etc.

Pre-Market Challenges
01
Device Design & Prototype
Speed to Market · Design Accuracy · Innovation
02
Device Testing & Validation
Compliances · Bugs detection · Speed of validation
03
Device Production & Assembly
End-to-end Traceability · Defect rates · Speed of Prod
04
Device Calibration & Configuration
Device Accuracy · Speed of calibration · Automation
05
Pre-delivery Inspection
Quality Standards · Compliances · Certifications
Hardware
sale
After-Sales Challenges
01
Device setup, Install
Setup accuracy · integration issues
02
Device Monitoring & Analytics
Real-time Visibility · anomaly detection · early warnings
03
Device re-calibration; troubleshoot, repair, maint
High uptime SLA · No unplanned downtime · Remote troubleshoot
04
Integration with Systems
Scalable, APIs
05
Replacement & Warranty
RUL; Asset Ageing · Retention

Proof in your world

Industrial success stories: IoT & AI solutions in action

Thermal processing equipment

Thermal processing equipment

Digital twins for machine-performance visibility

A global thermal-processing equipment manufacturer created Azure-based digital twins so customers could view melt-shop performance down to individual equipment.

Read the success story
Smart metering

Smart metering

IoT and analytics for smarter water insights

Connected metering and analytics help convert usage data into visibility, alerts and service intelligence.

Read the customer success story
Wind energy

Wind energy

Predictive insights across turbine operations

Historical and real-time operating data supports condition-based alarms and more proactive maintenance decisions.

Read the case study

"Their ability to rapidly innovate, try new things, and embrace a ‘fail-fast’ mindset has been a cornerstone of our success."
Michael Drake · Vice President of Engineering, Metron

The Saviant value chain

From sensor to software to intelligence.

One partner across every step, from the machine to the business result.

  1. Device

    Machines, meters, sensors, instruments

  2. Connect

    Protocols, edge, secure data acquisition

  3. Platform

    Cloud, storage, APIs, integration

  4. Intelligence

    Analytics, ML, AI, digital twins

  5. Experience

    Web, mobile, dashboards, alerts

  6. Outcome

    Uptime, service value, differentiation, growth

In practice

Vibration sensor on a pump → edge gateway → Azure → anomaly model → supervisor's phone → failure predicted 3 weeks early.

Built on expertise

Why industry leaders chose Saviant

ASSESSMENT

Digital Maturity Assessment

Know exactly where do you stand in the digital journey. Get a clear maturity score across your organization, operations, and software products, then build a custom roadmap with us.

STARTER TOOLKIT

Device-to-Cloud Accelerator

Go from disconnected equipment to live data in weeks, not months. Secure onboarding and ready-built pipelines cut setup time and cost.

SCENARIO WALKTHROUGH

Connected Assets and Predictive Journey

Catch failures before they happen. See how live equipment data turns into early alerts, planned service, and less unplanned downtime.

Book a Walkthrough

What Saviant helps you build

One roadmap across the product, data and software layers

Start with the business and product outcome then bring together the technology required to deliver it.

Connected Product & IIoT Platforms

Remote monitoring, machine diagnostics, device onboarding, telemetry and connected-product experiences.

Condition monitoring, predictive maintenance, equipment health analytics and AI-assisted diagnostics.

Virtual assets for monitoring, simulation, performance analysis and smarter services around equipment.

Capture and analyze live machine data for performance, efficiency, planning and product insight.

Customer and operator applications that make equipment easier to monitor, configure, control and service.

Assess architecture, prioritize releases and modernize legacy components so digital products scale with the machine business.

How we engage

Start with the product ambition. Build toward production reality.

No phase starts until the one before it has proved its point.

Book a use case walkthrough
  1. 01

    Assess

    2–3 weeks

    Product, architecture, data and maturity

    • Maturity assessment
    • Data & asset audit
  2. 02

    Prioritize

    2 weeks

    Customer value and roadmap outcomes

    • Value map
    • Outcome roadmap
  3. 03

    Architect

    3–4 weeks

    Hardware, cloud, data and software together

    • Reference architecture
    • Stack decisions
  4. 04

    Build & Pilot

    8–12 weeks

    Release usable value in controlled stages

    • Working pilot
    • Field validation
  5. 05

    Scale

    Ongoing

    Production rollout, support and evolution

    • Production rollout
    • Support model

Technology ecosystem

Architecture choices that fit the industrial environment

Certified technology depth matters when it reduces implementation risk and helps products reach customers faster.

microsoft certified professional
aws certified cloud practitioner
microsoft certified azure iot developer
xamarin certified developer
microsoft certified associate
deloitte technology fast 50 2018 winner
isa
future ready organisations 2023-24

Questions product & engineering leaders ask

Functional. Operational. Technical.

Can you work with our existing hardware and legacy software?

Yes. Start with the existing device, software, data and integration environment—preserving what works while identifying where modernization creates the most value.

Yes. Product roadmapping, architecture, value engineering and phased releases should precede development.

Start with one measurable use case, validate the data and operating model, establish production-ready architecture, then scale across devices and customer environments.

Yes. They should be positioned as the experience layer of the connected product—not as standalone application-development projects.

What could intelligence add to your equipment?

Bring us the product, machine or customer use case you are trying to move forward. We’ll start with the outcome and work back to the right technology path.

Talk to our Specialist