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Inception Games Final: Who's the Top NVIDIA Inception Startup?

Lightweight ChatGPT Deep Research tool, Google AI Overviews reaches 1.5B monthly users, Perplexity updates on Comet browser and more!

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After a bit of a delay, we were PUMPED to bring you the final matchup in our NVIDIA GTC Inception Games Contest.

If you missed the Opening Round, you can watch that here. 

And today, we pitted our two finalists in the Championship Game: GliaCloud vs. DMKTZ.

The winner gets a full sponsorship treatment across all of Everyday AI’s media platforms.

Make sure to watch/listen to the full episode here, and catch our breakdown below.

Your vote ALONE decides it. Voting ends Tuesday at 11:59 pm CST.

Which AI Startup Is Your Inception Games Champ?

Login or Subscribe to participate in polls.

āœŒļø

Outsmart The Future

Today in Everyday AI
6 minute read

šŸŽ™ Daily Podcast Episode: NVIDIA Inception startups Glia Cloud and DMKTZ battle for the top spot. Which startup will emerge victorious? Tune in to find out. Give it a listen.

šŸ•µļøā€ā™‚ļø Fresh Finds: Anthropic CEO wants deeper AI model understanding, OpenAI faces new lawsuit from major publisher and Meta sends Llama to space. Read on for Fresh Finds.

šŸ—ž Byte Sized Daily AI News: Lightweight ChatGPT Deep Research tool, Google AI Overviews reaches 1.5B monthly users and Perplexity updates on its Comet browser. For that and more, read on for Byte Sized News.

🧠 Learn & Leveraging AI: We break down the final startups for the NVIDIA Inception Games and unveil a winner! Keep reading for that!

ā†©ļø Don’t miss out: Did you miss our last newsletter? We talked about OpenAI's image generation API, U.S. AI Education Initiative, Google blocks Perplexity on Motorola devices. Check it here!

 Inception Games Final: Who's the Top NVIDIA Inception Startup? šŸ’”

8 Entered. 2 Remain.

Recently at NVIDIA's big GTC conference, we chatted with an Awesome 8 group of startups in NVIDIA's Inception program, which powers startups with cutting-edge tools, training, and global connections.

Now -- only two remain.

Also on the pod today:

• DMKTZ's AI Apparel Design Explanation šŸ‘•
• GliaCloud's AI Video Automation Approach šŸŽ„

It’ll be worth your 33 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Smoodin is an AI writing assistant, Circleback is AI powered meeting notes and automations and Wan.Video is Alibaba’s AI video and image platform.

Media and AI — Giant Publisher Ziff Davis is suing OpenAI for allegedly lifting its articles and not attributing them in chats.

Anthropic – Anthropic’s CEO urges the need for deeper understanding and interpretability of advanced AI models to ensure their safe deployment, setting a goal to reliably detect most AI issues by 2027.

Meta – Meta and Booz Allen are partnering on a ā€˜Space Llama’ program with NVIDIA and HPE.

Microsoft AI — OK…. Microsoft’s Copilot Plus PC’s are getting the controversial AI Recall feature for real this time. For real for real.

Intel – Intel’s new CEO plans to develop an in-house AI chip strategy to compete with Nvidia’s dominance.

AI Data Centers – Building a top notch data center may cost $200 billion within six years.

AI Startup - Chinese startup Manus has received funding from Benchmark and is now valued at $500 million. 

1. OpenAI Launches Cheaper, Lightweight ChatGPT Deep Research Mode šŸ’”

OpenAI has rolled out a more affordable "lightweight" version of its ChatGPT deep research tool, now available to free and paid users alike. Powered by the o4-mini model, this new option offers shorter, yet still rich and high-quality responses, making advanced AI research more accessible.

Free users get five monthly tasks, while paid tiers enjoy increased limits, easing the cost burden for both users and OpenAI itself.

2. Google’s AI Overviews Reaches 1.5B Monthly Users šŸ“ˆļø

Google’s AI-powered search features continue to expand rapidly, with AI Overviews now reaching over 1.5 billion users monthly in more than 100 countries, according to TechCrunch. The company recently introduced ads in these AI summaries and is testing an AI Mode for more interactive, chat-like searches, aiming to rival ChatGPT-style platforms.

Meanwhile, visual search tools like Google Lens have surged, with 5 billion new searches since October and a 10% increase in shopping activity.

3. Perplexity’s Comet Browser Aims to Rival Google with Data-Driven Ads ā˜„ļø

Perplexity’s CEO Aravind Srinivas revealed that the company is developing its own browser, Comet, to gather broad user data beyond its AI app, aiming to fuel premium, targeted advertising. Launch slated for May, this move echoes Google’s strategy of leveraging browser and OS data to build detailed user profiles for ad sales.

The timing is notable as Google faces DOJ scrutiny over its Chrome monopoly, with Perplexity and OpenAI expressing interest in acquiring Chrome if divestiture occurs.

4. Defense Department Doubles Down on AI Innovation for National Security šŸ‡ŗšŸ‡ø

Yesterday in Washington, senior Defense officials and industry experts gathered to spotlight how AI is reshaping military readiness and security strategies. Under Defense Secretary Pete Hegseth’s directive, the Pentagon is accelerating AI adoption to boost operational efficiency, combat effectiveness, and safeguard sensitive data against espionage.

Officials emphasized practical AI deployment—from streamlining background checks to enhancing battlefield decision-making—while aligning with new federal policies that prioritize fast, secure AI integration.

5. Amazon and NVIDIA Say AI Data Centers Show No Signs of Slowing šŸ­

Despite recession jitters and Wall Street whispers of tech companies hitting pause, Amazon and NVIDIA executives say AI data center construction is charging ahead full steam. Kevin Miller of Amazon Web Services dismissed rumors of slowdowns, pointing to rising demand that’s only expected to grow over the next few years.

NVIDIA’s Josh Parker echoed this optimism, noting increased compute and energy needs driven by AI advancements, even as some investors panic over energy efficiency claims from startups like DeepSeek. With experts like Anthropic’s Jack Clark forecasting a need for 50 gigawatts of new power by 2027—equivalent to 50 new nuclear plants.

🦾How You Can Leverage:

Final Battle……..FIGHT!

After some serious AI startup competition, we've whittled our Awesome 8 NVIDIA Inception AI startups down to just TWO incredible finalists in the NVIDIA Inception Games.

Go check out today’s episode if you haven’t already to choose the winner!

Before we give you the scoop on the head-to-head final, make sure you check out the other contestants in this episode.

  • DeepChecks: AI-powered platform to test and evaluate generative AI models

  • Expander AI: Platform for building custom AI agents by connecting multiple tools

  • Beamer: Uses AI to optimize video encoding, reducing file sizes by 30-50%

  • PlyOps: Software that maximizes GPU efficiency for AI data centers

  • Contextual AI: RAG platforms that link company data to LLMs for accurate answers

  • illumex: GenAI analytics made practical, transparent, and fast

Now……Meet Your Finalists:

DMKTZ: Perfect-Fit Fashion Revolution šŸ‘•

Instead of mass-producing clothing that rarely fits well, DMKTZ uses body scans to create garments made specifically for your measurements.

What makes them different is their full production pipeline.

They don't just visualize clothes on your body. They automatically generate the manufacturing patterns factories need to produce your custom garment. This connects customers directly to manufacturers without the traditional retail middle steps.

They're starting with performance wear for athletes who need precise fits for function, not just looks. Their approach potentially eliminates overproduction, reduces returns, and cuts inventory waste.

These are longstanding industry problems no one has solved.

GliaCloud: Video Marketing on AI Steroids šŸŽ¬

Glia Cloud tackles the bottleneck of video creation for marketers. Traditional video production requires large teams and significant time investment.

Their system automates the entire production process from script writing to final rendering.

It's trained on data from 100 million views across their 6,000 existing customers. The system optimizes for metrics that actually matter: viewer retention and click-through rates.

Their key advantage is scale. Companies can produce 10x more video content with the same resources. They can easily adapt these videos for different languages and markets without starting from scratch each time.

(Scroll back up to vote for your favorite if you haven’t already.)

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