Axel C.

Intro

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Detect Technologies

Leading computer vision AI solutions for industrials, focusing on safety, detection and inspection.

Advisor

SKOLEOM PLATFORM INC.

Skoleom revolutionizes the world of content with the first SeContent store software ecosystem. Designed for video creators, media agencies, marketing experts and visionary retailers, Skoleom enables them to promote their own products and services, as well as those of their partners, directly within their videos, without the constraints of the usual redirections.

Board Advisor

iLex

iLex is the next-gen platform for loan syndication, trading and private credit markets, integrating access to global loan markets and a large network of investors, primary and secondary deal sites and advanced investor intelligence for banks, debt advisors and institutional lenders to transact efficiently and securely.

Investor

1fs Wealth

Best-in-class wealth technology and data platform for family offices and high net worth individuals.

Astellar AI

Trusted AI products and solutions for startups and scaleups.

Founder & CEO

Clermount

M&A and fundraising advisory focused on mission-driven tech-enabled companies.

Senior Advisor Fintech

Cherrytree Partners

Nevermind Encryption

Nevermind offers Enterprise Data Encryption to facilitate secure sharing and storage of confidential information. Shielded with patented, end-to-end multivariate cryptography that introduces user-centricity in the private key generation and identity access management.

HUBX

Senior Advisor

Acted as Co-founder, CEO and Chairman. Backed by LSEG and Barclays Ventures, HUBX digitally transforms the primary deal syndication process, from origination to close in private. Equipped with powerful productivity tools and data insights for banks to efficiently manage, simplify and automate key activities in the distribution of private transactions. $2B in private transactions hosted by our clients.

Chief Executive Officer

3x founder | I share tips on how to embrace AI to help business owners drive revenues and efficiency | Founder & CEO @Coming Soon (AI Chatbots, Voice Analytics, Automation)

👋 I'm Axel, and here's my story:

- Founded 2 businesses: one failed due to regulation, one raised $10M from LSEG, Barclays and VCs to build the ultimate private deal syndication platform 
- Raised $15B for clients over 10 years in capital markets at bulge bracket firms 
- Obsessed with AI, fintech and technology generally 

📈 Passionate about growing businesses by leveraging AI and automation 
💸 Sharing my learnings with tech startups to help them deploy unique AI solutions and raise capital

What you'll get by following me:
🚀 Actionable tips to embrace AI, fintech and B2B automation reliably
🔥 Transparent & practical advice, no BS
💼 Updates on my new project

Ready to adopt AI to scale your company? Hit that “Follow” button ✌️

Here's the blueprint to infinite value creation in AI 👇 

It requires at least 2 participants and $100B+ for best results:

1️⃣ Company A commits to investing $___B in Company B.
2️⃣ Company B commits to buying $___B in products from A.
3️⃣ Valuations immediately increase on both sides.

The press runs the story and new investors and banks start calling again.

It also works if you run a portfolio of tech companies: each one can invest in the others, with services exchanged in return.

In order to pull this off, you'll need to sell an incredibly bold AI vision and have decent connections with aligned, publicly listed tech company CEOs. Sharing common investors can be a good place to kick things off.

Works a treat ♻️ 

#ai #genai #llm #funding
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Axel Coustere 🕹️

C-level Executive & Board Advisor | AI, Financial Technology & Capital Markets

I've been trying to explain to my doctor that my two stomachs are in perfect working order, but he refuses to review my ChatGPT evidence 🤬  

In the face of such stubbornness, I'm in two minds to ask to speak to a specialist.

It feels like pulling teeth sometimes.

What am I missing here?

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OpenAI's Sam Altman on painful tradeoffs due to "compute constraints" that hamper the AI industry ✨ 

➠ "to cure cancer"; versus 
➠ "offer free education to everybody on Earth"

What if lack of (Nvidia) compute was a red herring when it comes to delivering on these lofty goals?

Your answer will probably depend on how you define and evaluate "curing" and "education" in the context of LLMs - and the relative potential efficiency and reliability of alternative  approaches (AI or non-AI).

Hypothetically, assuming infinite free compute and scaling: how close would we be to delivering on either (or both), in your view?

As a side note, wearing a black leather jacket next to Jensen is a statement in itself.

#ai #genai #llm #openai #nvidia
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I keep seeing AI-generated videos of humanoid robots.

Here's an actual example of a robot company that uses AI models in their quest to deliver more realistic expressions.

"We develop advanced bionic humanoid robots that integrate self-supervised AI algorithms with high-DOF bionic actuation, empowering future AGI to express authentic emotions and lifelike facial expressions." - AheadForm

Despite Elon's predictions, I'm still not convinced by general purpose humanoid robots. 

In most cases, I believe that a dedicated form factor - such as industrial arms - is far more likely to deliver better, more consistent and efficient results.

Apart from Robot Catgirls, entertainment and synthetic companionship - what other use cases will drive humanoid robot adoption in your view?

#ai #robot #humanoid
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