AI Talent for Industry

AI Experts for
Manufacturing & Engineering

Practical AI specialists for inspection, production monitoring, predictive maintenance and engineering automation — aligned to how manufacturing and engineering teams actually work.

Computer Vision • Predictive Maintenance • OEE Analytics • CAD Automation • BOM Extraction • AI Assistants

Specialized Roles

AI Experts Aligned to Manufacturing & Engineering

Practical AI specialists who understand inspection, downtime, drawings, BOMs and shop-floor realities — not just generic IT skills.

Manufacturing AI & Computer Vision Experts

  • Computer Vision Engineers: Build defect detection and visual inspection systems for high-volume production lines.
  • Edge AI Engineers: Deploy AI models on shop-floor cameras and integrate pass/fail signals with PLCs.
  • Industrial AI Specialists: Apply AI to real plant problems — surface inspection, dimensional checks, assembly verification.

Production & Maintenance AI Specialists

  • Predictive Maintenance Engineers: Use vibration, temperature and current data to flag equipment failures before they cause downtime.
  • OEE & Production Analytics Experts: Turn shop-floor data into clear views of availability, performance and quality.
  • IoT & Sensor Data Engineers: Connect machines, sensors and historians so production data is reliable and usable.

Engineering Automation Experts

  • CAD Automation Engineers: Automate repetitive design tasks in Inventor, SolidWorks and AutoCAD with rule-based scripts and AI.
  • Drawing Validation & BOM Automation Specialists: Auto-check engineering drawings against standards and extract structured BOMs from PDFs and DWG files.
  • Document Intelligence Engineers: Pull useful data out of GA drawings, datasheets, supplier documents and quality reports.

Business AI & Automation Experts

  • AI Assistants for Operations: Build internal copilots for sales, purchase, HR and customer support teams.
  • Document Processing Automation: Automate invoices, POs, contracts and quality certificates with AI-driven extraction and routing.
  • AI Analytics & Reporting Specialists: Deliver dashboards and AI-generated insights on production, quality, sales and finance.

Capabilities

AI Capability Areas We Deliver Through Experts

Four practical capability areas — each delivered by specialists who understand manufacturing, engineering and the operations behind them.

AI for Quality Inspection & Automation

Camera-based defect detection, dimensional checks and inline inspection — built and tuned by experts who understand your parts, lighting and PLC environment.

AI for Production & Maintenance

Predictive maintenance, OEE analytics and IoT-driven production monitoring delivered by engineers who have worked on real shop-floor data, not just dashboards.

AI for Engineering & Design Automation

Drawing validation, BOM extraction and CAD automation in Inventor, SolidWorks and AutoCAD — accelerating tenders, design reviews and documentation work.

AI for Business Operations

AI assistants, document processing and analytics for sales, purchase, finance and HR — practical automation that removes repetitive work from your teams.

How It Works

A simple, streamlined process to get started

01
1

Share Your Requirements

Tell us about your project goals, technical needs, and timeline.

02
2

Talent Matching

We identify engineers with the right expertise and domain experience.

03
3

Interview & Select

You evaluate and select engineers who best fit your team.

04
4

Start the Engagement

Selected engineers integrate with your team and begin contributing to your project.

Engagement Models

Flexible Ways to Engage Our AI Experts

From a focused pilot to a full delivery squad — choose the model that fits where you are on your AI journey.

Dedicated AI Engineers (Manufacturing Focus)

Long-term AI specialists embedded with your engineering, quality or production team — focused on inspection, downtime, drawings or operations.

AI Pilot & Proof of Concept Teams

Small focused teams that prove a use case on your real data and shop-floor conditions — typically 4 to 8 weeks to a working pilot.

Project-Based AI Implementation

End-to-end delivery of a defined AI use case — scope, timeline and outcome owned by Infodra, with clear acceptance criteria.

Full AI Delivery Squads

Cross-functional squads with AI engineers, data engineers, MLOps and a delivery lead — for plant-wide or multi-site rollouts.

Not sure where to start?
We will help you pick the right engagement based on your plant priorities and AI maturity.

Our Difference

Not Just Talent — We Deliver Outcomes

We don't hand over resumes and walk away. We align AI experts to real plant problems and stay accountable to measurable impact on quality, productivity and cost.

Aligned to Real Plant Problems

We start with your actual pain — quality escapes, downtime, drawing rework — and assign experts who have solved that exact problem before.

Resumes Are Not the Product

You don't hire CVs. You get a working AI capability — proven on your data, integrated with your systems, owned end-to-end.

Measured on Outcomes

Engagements are tracked against the numbers leadership cares about — quality, productivity, cost — not utilization or hours.

Built for Manufacturers, by Engineers

See What AI Can Do In Your Plant

Share your top quality, productivity or engineering challenge. We will show how AI can solve it — using examples from real factories, not slide decks.