APEX Consulting

APEX Consulting – The Agency Behind Market Leaders

Trusted by Market Leaders such as MathWorks, Navasto, Simq, SimScale, Synera, Altair, Siemens and many more!

We help agencies and B2B companies (especially in Tech/SaaS) to attract high-quality leads, automate sales, and scale predictably with AI-driven marketing & sales systems.

❌ Inconsistent lead flow – Relying on referrals, cold outreach, or low-quality leads.
❌ Marketing isn’t converting – Engagement is high, but sales aren’t.
❌ No automation – Wasting time on manual sales & follow-ups.
❌ High ad costs, low ROI – PPC burns cash without predictable returns.
❌ Weak market positioning – Struggling to stand out from competitors.

🚀 How APEX Consulting Solves This - We implement AI-driven marketing & sales systems to:

✅ Fill your pipeline with warm, sales-ready leads consistently
✅ Automate your sales process – follow-ups, nurturing, and conversions on autopilot
✅ Lower ad costs by 50% while generating 3x more qualified leads
✅ Strengthen your positioning – become the go-to choice in your industry

📩 Tired of unpredictable growth? Let’s fix that – book a call today: https://calendly.com/apex-consulting-call/15min

As the founder of APEX, I oversee the company's overall business and ensure successful outcomes for our clients.

Founder

Clay

Helping to build the GTM development environment where teams transform wild growth ideas into powerful, real-world workflows.

Investor

Engineered-Mind

The Engineered-Mind Podcast🎙️ – Educational Videos 🎥

I am creating videos in the field of engineering, programming, AI as well as psychology which includes self-improvement but by making the videos as entertaining as possible. On my YouTube channel, I upload some videos related to the topics previously mentioned and host a podcast called Engineered-Mind.

Monolith AI

Responsible for:

- Adoption of AI inside of Marketing
- Content & Product Marketing
- Creation of Sales Enablement material (Whitepapers, 2-pagers ...)
- Product Positioning & Messaging via content marketing

Monolith empowers engineers to use self-learning models solving even their most intractable physics problems. Monolith software is trusted by the world’s top engineering teams including Rolls Royce, Siemens, Honeywell, and BMW to develop better quality products. Artificially Intelligent Engineering enables engineers to understand, predict and optimise products dramatically faster using an intuitive AI platform. ​

Product Marketing Engineer

Coursera

Providing and planning engineering related courses on the Coursera platform to educate people all around the world.

Instructor

SimScale

Content management & development:
- SimScale blog
- Product Demos, Videos, Images, and Presentations
- Customer success stories & Technical Articles
- Webinars
- Marketing Pages
- Collaterals: Whitepapers, Ebooks . . .

Cross-Functional
- Sales support & enablement
- Support product launches
- Supporting offices worldwide and partners

As Academic Program Manager, I engage with students, researchers, and educators from many different disciplines and levels. I am also responsible for our Academic Sponsorship Program, onboarding and supporting students and teams. 

Additionally I take care of:

- SimScale student ambassadors

- Full time support for Academic Users review of new Academic Plan applications

- Contact for Formula Student Teams and solve simulation problems and identify bottlenecks

---------

As Community Manager, I support SimScale’s community and implement new ideas to leverage potential of users. I am continuously maintaining, and growing an inquisitive community of over 150,000 users.

I also take care of:

- The SimScale forum and make sure users get the best support possible in the field of FEA, CFD & Thermal Analysis

- Creating high quality Project Spotlights & posts

- Creating high quality content for the SimWiki

- Support and review content for blog posts and social media channels 

- Onboarding, managing and support of (new) PowerUsers

- "Solve it with SimScale" competition

Community & Academic Program Manager

As Community Manager, I support SimScale’s community and implement new ideas to leverage potential of users. I am continuously maintaining, and growing an inquisitive community of over 150,000 users.

I also take care of:

- The SimScale forum and make sure users get the best support possible in the field of FEA, CFD & Thermal Analysis

- Creating high quality Project Spotlights

- Creating high quality content for the SimWiki

- Support and review content for blog posts and social media channels 

- Onboarding, managing and support of (new) PowerUsers

Community Manager

FEA Simulation Assistant

Udacity

Helping students during the Bertelsmann AI challenge.

Topics: Linear Algebra, PyTorch and AI in general.

Student Leader

University of Karlsruhe

Help and tutor students in the following fields:

- Solidify their knowledge by providing them with MATLAB tutorials on my YouTube channel

- Numerical solution of ordinary differential equations

- Numerical integration of Differential-algebraic system of equations (DAEs)

- System with distributed parameters - fluid simulation with help of the finite difference method (FDM)

- Numerical solution procedure for partial differential equations (PDE): finite element method (FEM)

- Verification & Validation

Research Assistant

Karlsruhe Institute of Technology (KIT)

Introducing SimScale to more than 400 students by implementing simulation techniques (focus on FEA) into the curriculum of the institute of product engineering (IPEK). Responsibilities:

- Make sure students understand simulation and compare analytical results with those of simulations

- Conduct convergence studies 

- Connect simulation results with classical design principals and how changes in design affect stress hot spots

- Embodiment variation vs. Variation of principle

- Synthesis and step towards interpretation. That includes to think about different bearing arrangements and how theses affect the static/dynamic system

- Screencasts and surveys for students to iteratively optimize the workshop for the following years

Working Student

Tutor for experimental fluid mechanics. Responsible for several groups of students teaching them density based measurement techniques.

- Mach-Zehnder Interferometry

- Schlieren photography

- Optimization of the experiments

Tutor

- Numerical solution of ordinary differential equations

- Numerical integration of Differential-algebraic system of equations (DAEs)

- System with distributed parameters - fluid simulation with help of the finite difference method (FDM)

- Numerical solution procedure for partial differential equations (PDE): finite element method (FEM)

- Verification and validation of a single mass oscillator

Tutor for Modeling and Simulation

Research Assistant for the Institute for Process Engineering investigating the Taylor-Green Vortex with the Lattice Boltzmann Method.

Karlsruhe Insitute of Technology

Working on the script for the lecture Product Development - Development Method

🌱 Marketing for SaaS & Tech | 🎬 YouTuber | 🚀 Engineer at Monolith | 🎙️ Podcaster | 🧠 AI

🌎 The Lead Gen Agency Behind Market Leaders: https://apex-consulting.ai/

In a world where everyone uses the same tools, we help you find your GTM alpha – your unique competitive edge. By leveraging unique data signals, AI agents, and custom automation workflows, we build systems your competitors can’t replicate.

We live and breathe Go-To-Market Engineering – a structured approach to aligning marketing, sales, and operations through automation, data, and AI. 

The result? Less manual work, more high-impact activity, and faster, smarter execution.

From automating outreach and scoring leads to building dynamic follow-up funnels and ICP-matched lead lists, we eliminate bottlenecks and drive predictable growth without adding headcount.

🌐 apex-consulting.ai
💬 Free strategy call: https://calendly.com/apex-consulting-call/apex-ai-integration-assessment

APEX is an official Siemens Technology & HubSpot partner: https://ecosystem.hubspot.com/marketplace/solutions/apex-agency

——
🎬 APEX on YouTube: https://www.youtube.com/@JousefMuradAPEX

🎥 YouTube: youtube.com/@Jousef

✍️ My personal insights: jousefmurad.com

I’m amazed by the performance of #Gemini3 🚀

I just built a pure JavaScript Computational Fluid Dynamics (CFD) solver that runs entirely in a single HTML file - no plugins, no backend, and no installation required. It visualizes 2D channel flow over an airfoil in real-time, rendering the fluid dynamics at 60 FPS.

Under the hood, the solver implements the Lattice Boltzmann Method (LBM D2Q9) paired with a Smagorinsky Large Eddy Simulation (LES) model. The interface features a fully interactive Joukowsky airfoil; you can tweak the angle of attack, camber, and thickness in real time, and the boundary conditions update instantly without restarting the flow.

This project highlights how accessible high-fidelity engineering tools are becoming. By moving simulation from "black box" desktop software to the open web, we can turn complex physics into an interactive playground. It’s a great example of how powerful the modern web stack has become for visualization and education.

DM me if you want the HTML file!

#CFD #VibeCoding #LatticeBoltzmann #Engineering #Simulation

Jousef Murad

CEO & Lead Engineer @ APEX 📈 AI Process Automation & Lead Gen for B2B Businesses & Agencies | 🚀 Mechanical Engineer

#AI is not a magic pill that instantly fixes your business.

It demands real engineering, structured implementation, and systematic testing. 

Many companies only learn this after hiring one of those marketing agencies that suddenly rebranded themselves as “AI experts”. 

They experiment, they improvise, they cobble things together. They are hobbyists, not architects. 

And that is precisely why so many AI projects fail to deliver consistent, reliable results.

https://lnkd.in/edgi6E9Y

Kling 2.6 with Native Audio just dropped - Uncensored, unrestricted video with audio generation in 1080p.

Here an example of the evolution in only 2 years - Will Smith eating spaghetti:

#kling #ai #aivideo

A breakthrough in engineering simulation & AI! 🚀

• Proprietary simulation data
• Neural networks
• Advanced multiphysics algorithms

This new capability enables engineering teams to make high-impact design decisions faster, earlier, and with more confidence than ever before.

Quanscient will guide you through a complete walkthrough of the workflow and real-world case studies across multiple industries.

Join for free, link in the comments.

Quanscient

That scene from I, Robot aged faster than any sci-fi prediction.

In 2004 the answer was no.
In 2025 the answer is: it already does. Better. Faster. At scale.

The line meant to prove human superiority now proves how radically AI has shifted the playing field.

We are launching a new technical deep dive series dedicated to one of the most important developments in agentic AI engineering: MATLAB MCP Servers.

The rise of agentic AI has created a new challenge for engineers and developers: connecting powerful reasoning engines with real, executable engineering tools. The MATLAB MCP Core Server solves this by acting as a standardized bridge between MATLAB and modern AI clients such as Claude Desktop, Visual Studio Code, and the Gemini CLI. Instead of copying and pasting code between tools, MCP enables direct execution, debugging, toolbox detection, and automated testing from within any compliant AI agent. This series explores how MCP transforms MATLAB into a fully integrated component of your agentic workflow.

The series is designed for MATLAB users, engineering teams, technical leads, data scientists, and anyone exploring agentic AI development environments. Whether you build simulations, develop algorithms, run research pipelines, or maintain production code, MCP allows you to move from manual switching to automated, reproducible, fully controllable workflows. If you’re interested in connecting AI reasoning with numerical computing, this is for you.

Across the series, you will learn how MCP works, how to set up the MATLAB MCP Core Server, how AI agents interact with MATLAB code, and how to use this setup in real engineering workflows. You’ll see practical examples across chat interfaces, IDE integrations, and command line tools, along with guidance on safe execution practices and how to contribute to the open-source project. By the end, you will understand how to bring MATLAB into your agentic AI stack and unlock a new level of speed, automation, and software discipline.

A 3D V8 engine vibe coded using #Gemini3 - running entirely in the browser.

Download the file for free here: https://lnkd.in/eXzGGsnj

#AI #Engineering #Vibecoding

Structural analysis at lightning speed? With AI.

Traditional FEM simulations for displacement and Von Mises stress are accurate, but can be time-consuming. Now, AI in addition of FEM delivers:

 ✅ 95% prediction confidence
 ✅ Near-identical results to FEM
 ✅ Massive time savings for design iterations

From concept to validation, AI is transforming how engineers approach simulation. Faster decisions. Smarter workflows.

Source: Ansys AI

#AI #FEM #Simulation #StructuralAnalysis

Ansys AI

The Biggest Mistakes Companies Make With #Manufacturing #AI 

Watch now. https://lnkd.in/eg7PECZC

In this deep-dive session, Namwoo Kang, CEO of Narnia Labs and Professor at KAIST, shares a powerful and eye-opening perspective on the future of AI in manufacturing, why transformation is urgent, and what companies need to do before adopting AI into their product development workflow.

#engineering #aslanx #predictiveai

CEO of Narnia Labs / Associate Professor at KAIST

Narnia Labs

🎙️ Thermal Neural Networks feat. Tobias Moroder & Georg Göppert | Episode #168

In this episode, Tobias Moroder, Data Scientist, and Georg Geoppert, Systems Engineer at Schaeffler, break down Thermal Neural Networks (#TNNs).

This hybrid modeling approach fuses physics with machine learning to accurately estimate temperatures inside E-Motors.

Watch it here: https://lnkd.in/edue2DDW

#engineering #emotors #schaeffler  MathWorks

Data Scientist bei Schaeffler

Systems Engineer at Schaeffler

Schaeffler

MathWorks

Great read! --> For decades, the finite volume method (FVM) has served as the standard, forming the backbone of most commercial and academic CFD solvers. However, as applications become more complex, involving violent sloshing, free surfaces, or moving boundaries, particle-based CFD methods have emerged as a compelling alternative.

shonDynamics GmbH

Two Paths to Simulating Reality with Particle CFD and Finite Volume CFD

Stanford University releases a new "Agentic Reviewer" for research papers. 

1. Upload your paper PDF and enter your email.

2. You’ll get an email when the AI has finished the review.

3. Return to the site to read the AI review and suggested improvements.

https://paperreview.ai/

#agent #paper #arxiv

Stanford University

You think you're using AI efficiently, yet you're still stuck prompting, correcting, and babysitting tools that were supposed to save them time.

AI agents are the upgrade: digital employees that take over the work, make their own decisions, and finally give you the leverage you were promised.

AI agents are considered the next major leap in the development of artificial intelligence. But what does that actually mean for your daily workflow a

AI Agents Explained in 5 Minutes

DeepJEB: 3D Deep Learning-Based Synthetic Jet Engine Bracket Dataset

A DL–based synthetic dataset that leverages deep generative models and automated simulation pipelines to generate a large-scale collection of diverse 3D geometries paired with high-quality structural analysis data.

https://lnkd.in/e6GCdGbS

Most companies want an AI support agent, but they all run into the same two problems.

First, customer support knowledge is always outdated. The product team updates a document, the support team updates another one, a PDF is buried in someone’s laptop, and suddenly your AI agent is giving answers from last quarter.

Second, if the agent doesn’t have access to fresh information, it starts hallucinating. Wrong prices, wrong policies, wrong instructions. The exact opposite of what a support system is supposed to do.

We kept seeing this pattern with clients. They wanted automation, but they didn’t want to open vector databases, manage embeddings, or rebuild knowledge bases every time a file changed. And they definitely didn’t want to spend hours answering the same questions manually because their AI assistant “didn’t know” the latest update.

So we built something different.

A RAG pipeline in n8n where the client updates their entire knowledge base simply by uploading or modifying a file in Google Drive. No dashboards, no API juggling, no Pinecone logins. Just drop a file, and the system:
- detects the new version
- downloads it
- splits it cleanly
- generates embeddings
- indexes everything in Pinecone
- and instantly refreshes the WhatsApp support agent’s knowledge

From the client’s perspective, their AI support agent always has the newest information and never guesses.

This setup has turned Google Drive into their control center. Every file is a source of truth. Every update flows straight into the AI agent. And customer support finally stops depending on outdated documents and hallucinating assistants.

#n8n #rag #ai #automation #pinecone

Pinecone

AI will not replace you.
But teams who adopt AI will outpace those who ignore it.

Not because AI is magic, but because:
It reduces manual work
It accelerates decision speed
It scales knowledge
It increases output without increasing headcount

The differentiation is not the tool.
It is the operator.

https://lnkd.in/edgi6E9Y

PDE Toolbox Thermal Analysis Example 🔥

This project demonstrates steady-state thermal analysis using MATLAB's Partial Differential Equation (PDE) Toolbox, solving heat conduction in a rectangular aluminum plate. Want to learn how to build it? 

Join our live session today with MathWorks and Yann Debray: https://lnkd.in/exNiCYgE

#engineering #mcp #fem #PDE

AI with MATLAB & Python

Most AI projects fail not because the technology is weak but because organizations lack the real skills to integrate it into business processes.

We are witnessing the biggest technology boom since the early internet era. AI is everywhere- from ChatGPT to automation to self-learning systems. But

Why Most AI Projects Fail: 10 Skills Entrepreneurs Need - Between Hype and Reality

What Engineers Get Wrong About Liquid Cooling 🔥

At another insightful episode of #RealizeLive2025 in Amsterdam, I sat down with Wendy Luiten, a pioneering thermal engineer and Six Sigma Master Black Belt, who became the first woman to receive the 2024 Thermi Award!

In this episode, Wendy talks about the rapidly growing energy and water crisis behind the world’s data centers - and how computational fluid dynamics (CFD), liquid cooling, and sustainable design can change the future of AI infrastructure.

She shares insights on:

- Why AI-driven data centers could soon consume up to 5% of global energy
- How liquid immersion cooling works, and why it’s better than air
- The trade-offs between fluor-based and plant-based cooling fluids
- How Six Sigma and design space exploration accelerate innovation
- Why engineers need to “defend empty space” in thermal system design

Thermal design, Electronics cooling specialist and certified DfSS Master Black Belt

Looking for synthetic data resources? NVIDIA dropped #NeMo Data Designer, a general-purpose framework for generating high-quality synthetic data from scratch or using your own seed data.

Get started here
- 📦 Install: pip install data-designer
- 💻 Code: https://lnkd.in/eHi_XPd9
- 📗 Docs: https://lnkd.in/eHdb-YWu

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