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Predictive Maintenance Platform

We stream machine telemetry into a time-series store, build failure models per asset class, and trigger maintenance work orders before the line stops — with the avoided-downtime math tracked so the program defends its own budget.

From $68,0009–13 weeksManufacturing solutions
Investment
From $68,000
Timeline
9–13 weeks
Team
U.S. senior engineers, ET hours
Ownership
Your repo, your cloud, day one
// what's included

Scope of the build

Fixed scope, fixed timeline, 100% U.S.-based senior engineers on Eastern-time hours.

Integrates with
OPC-UAAWS IoTTimescaleDBMaximoPower BI
  • PLC/OPC-UA and sensor data ingestion
  • Time-series storage and anomaly detection
  • Per-asset failure models and thresholds
  • Automatic CMMS work-order creation
  • Downtime and avoided-cost dashboards
  • Maintenance technician mobile view
// outcomes

What you get

01

Unplanned downtime falls

Failures caught days before the stoppage.

02

Parts ready

Work orders trigger with the right parts reserved.

03

ROI on the wall

Avoided-downtime dollars tracked per asset.

// common use cases

Where this fits

  • Discrete manufacturing
  • Process plants
  • Fleet and heavy equipment
  • Facilities operations
// how we deliver

From signature to production

The same delivery rhythm on every engagement. You always know what shipped last week and what ships next.

  1. Week 0

    Scope lock

    Two working sessions with your team. We write the spec, the acceptance criteria, and the integration list, then fix the price against it.

  2. Weeks 1-2

    Spine first

    Data model, auth, environments, CI, and the riskiest integration go in before any screen is polished. You see it running in staging.

  3. Mid-build

    Weekly demo

    Working software every Friday, on your staging environment. Scope changes get priced in the same call, never discovered at the end.

  4. Go-live

    Handover that holds

    Runbooks, monitoring, test suite, and a recorded walkthrough for your engineers. You own the repo and the accounts from day one.

// questions buyers ask

Before you book a call

Straight answers on price, timeline, ownership, and who writes the code. If your question is not here, ask it on the call — we answer it the same way.

Scope predictive maintenance platform
What does predictive maintenance platform cost?

From $68,000. The price is fixed against a written scope after a two-session discovery, so the number you approve is the number you pay. Typical delivery runs 9–13 weeks.

How long does it take to go live?

9–13 weeks from scope lock to production for the scope listed on this page. You see working software in your staging environment every week, starting in week two.

What does it integrate with?

Out of the box we wire OPC-UA, AWS IoT, TimescaleDB, Maximo and Power BI. Anything with an API or a file drop can be added during scope lock.

Who actually builds it?

Senior U.S.-based engineers on Eastern-time hours. No offshore handoff, no rotating junior bench. The people on your kickoff call are the people writing the code.

Do we own the code?

Yes. Your repo, your cloud accounts, your data — from the first commit. We hand over runbooks, tests, monitoring, and a recorded walkthrough so your team can take it forward without us.

Can this start smaller than the full scope?

Usually. We can carve a first slice that proves the hardest part of predictive maintenance platform in a few weeks, then sequence the rest once it is running in production.

// let's build something

Start your project request

Tell us what you're building — engineering capacity, AI, QA, cloud, or a fixed-scope software engagement. Our NYC team responds within one business day.

// what to expect
  • Response within 1 business day
  • 30-minute discovery conversation
  • Recommended engagement model & pricing
  • NYC-focused — in-person available
Start Project Request

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