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Engineering data is everywhere. Too much engineering work is still manual.

Turn Engineering Information into Decisions You Can Defend

CAD models, drawings, machine data and technical documents contain valuable information. AionFab helps engineering and manufacturing teams turn that information into faster, more consistent and reviewable decisions.

Engineering information in. Reviewable decisions out.

Engineering workflow showing extrusion tooling, die-casting tooling, machine and process data, drawings and technical documents moving through geometry understanding, engineering analysis, evidence connection and technical review to reviewable outputs and an engineer-owned decision.

The problem

The Information Is There. The Workflow Is Still Manual.

CAD arrives. Quoting starts from scratch.

Engineers repeatedly inspect models, drawings and past jobs before understanding manufacturing effort and preparing an estimate.

Machines produce data. Problems are still discovered late.

Signals and production records exist, but turning them into timely operational decisions remains difficult.

The answer exists. Engineers still search for it.

Technical knowledge remains fragmented across documents, systems and individual experience.

Requirements are documented. Reviews are still repetitive.

Engineers repeatedly interpret submissions, locate requirements and record the same types of technical checks.

Capabilities

Where AionFab Helps

Four areas of engineering work where structured information reduces manual effort and produces results a technical team can check.

01 — Quote & Plan Work Faster

Today: Complex parts still take too much engineering effort to understand and quote.

With AionFab: Turn CAD models, drawings and historical work into manufacturing insight before production begins.

  • Less repetitive CAD review
  • More consistent estimating assumptions
  • Better reuse of historical work

02 — Understand & Improve Production

Today: Machines generate data continuously, but problems can still be difficult to detect and explain.

With AionFab: Turn machine and process data into earlier, more useful manufacturing decisions.

  • Earlier awareness of changing conditions
  • Better maintenance and process decisions
  • Faster troubleshooting

03 — Find & Reuse Engineering Knowledge

Today: The answer often exists somewhere. Finding and verifying it is the problem.

With AionFab: Make trusted engineering knowledge easier to find, verify and reuse.

  • Less time searching
  • Better reuse of historical knowledge
  • Easier verification of technical information

04 — Review & Verify Technical Work

Today: Technical reviews are repetitive, but final decisions still require professional judgment.

With AionFab: Structure technical review work while preserving evidence and professional accountability.

  • More consistent checks
  • Better evidence traceability
  • Less repetitive review effort

In practice

How These Workflows Come Together

AionFab combines engineering analysis, structured information and human review to support different technical workflows.

Geometry and quotation

Quotation workflow showing an extrusion RFQ, porthole-die interpretation, historical comparable jobs, an estimated quotation range, key quotation drivers and engineer review and finalization.
Conceptual workflow illustration. Actual analysis and outputs depend on the application and available engineering information.

Manufacturing intelligence

CNC machining and visual-inspection workflow showing machine and process signals, frequency changes, run and layer evolution, feature progression, tool-wear and remaining-useful-life outlook, investigation evidence and engineer-selected action.
Conceptual workflow illustration. Actual analysis and outputs depend on the application and available engineering information.

Engineering knowledge

Approved technical sources — a drawing, specification, engineering report, procedure and project record — connected to an evidence-linked answer panel that cites each source and records engineer verification.
Conceptual workflow illustration. Actual analysis and outputs depend on the application and available engineering information.

These workflows are supported by reusable AionFab capabilities in geometry and manufacturability analysis, drawing and specification intelligence, machine and process intelligence, engineering knowledge and evidence, and technical review and requirement checking.

Why AionFab

Engineering-Led. Evidence-Driven.

AionFab begins with the engineering workflow and the decision being made. We use the appropriate combination of engineering methods, data analysis and AI where they add practical value.

  • Engineering-led

    We begin with the engineering workflow and decision, not with a particular AI technology.

  • Practical

    We focus on reducing repetitive work, improving consistency and making technical information more useful.

  • Reviewable

    Important outputs remain connected to their source information, processing assumptions and supporting evidence.

  • Human-controlled

    Final accountable decisions remain with designated engineers, estimators and technical reviewers.

  • Flexible

    Solutions can be designed for cloud, private-network, hybrid or on-premises environments.

  • Integrable

    AionFab capabilities are designed to work with existing engineering and business systems.

Discover → Prototype → Validate → Integrate

Start with One Valuable Workflow

We do not begin with a large software rollout. We begin with one engineering workflow worth improving.

  1. 01

    Discover

    Understand the current process, users, information and decision criteria.

  2. 02

    Prototype

    Build a focused solution using representative engineering data.

  3. 03

    Validate

    Review results with the engineers and specialists who perform the work.

  4. 04

    Integrate

    Connect the validated capability into the existing workflow and systems.

Founding team

Built by Engineers for Engineering Workflows

AionFab was founded by engineers with hands-on experience in manufacturing, machining, industrial data and engineering software. We combine manufacturing-domain knowledge with practical AI and software engineering to improve workflows involving geometry, production data, technical knowledge and engineering review.

Dr. Srihari Kurukuri — Co-Founder

Dr. Mohammed Tauhiduzzaman — Co-Founder

  • Advanced Manufacturing & Precision Machining

    Manufacturing processes, machining, tooling and production-engineering workflows.

  • Manufacturing Analytics & Decision Support

    Machine data, process monitoring, condition intelligence and engineering decision support.

  • CAD, Geometry & Drawing Intelligence

    3D model analysis, manufacturing geometry, drawings and technical requirements.

  • Engineering Knowledge & Workflow Software

    Technical knowledge, evidence-linked engineering information and software built around real engineering processes.

Which Engineering Workflow Is Taking Too Much Manual Effort?

Tell us about the files, data, people and decisions involved. We will help assess whether structured engineering intelligence could reduce repetitive work, improve consistency or provide clearer evidence. Ontario, Canada-based, working with teams anywhere.