SQream Technologies

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SQream Technologies

Accelerating Total Time to Insight (TTTI) on Any Size Data

SQream provides an analytics platform that minimizes Total Time to Insight (TTTI) for time-sensitive data, on-prem and on-the-cloud. Designed for tera-to-peta-scale data, the GPU-powered platform enables enterprises to rapidly ingest and analyze their growing data – providing full-picture visibility for improved customer experience, operational efficiency, and previously unobtainable business insights.

05/01/2026

AI has a dirty secret.

Most GPUs sit idle.

Not because models are slow.
Because data pipelines cannot keep up.

We spent over a decade building GPU software for analytics.
That work exposed the real bottleneck.

So we built SCAILIUM.

Not another model.
Not another platform.
An AI Production Layer designed to keep GPUs busy.

Want the full story?
Join our first public session:
https://lp-scailium.hs-sites.com/the-ai-production-layer

Follow SCAILIUM for updates:
LinkedIn: https://www.linkedin.com/company/scailium/

Website: https://scailium.com/

X: https://x.com/scailium

Facebook: https://www.facebook.com/profile.php?id=61578632164075

17/11/2025

We took SQream's “AI Factory at Scale” to the desert.
The team built our name out of stones and proved you can run a rock-solid pipeline anywhere.
No GPUs were harmed in the making of this masterpiece.
Ready for what’s next.

02/11/2025

GTC DC was last week, and the signal is clear:

AI is already reshaping infrastructure. We walked away with three hard truths that more organizations need to hear:

1. AI isn’t just code anymore, it’s a supply chain. From model dev to inference, the winning teams are thinking like manufacturers. They’re asking: Where is my raw data coming from? How fast can I prep it? How do I serve insights at scale, reliably? This is the new AI Factory mindset - and it’s not theoretical. It’s the foundation of modern AI infrastructure.

2. Enterprises aren’t struggling with AI models, they’re struggling with data readiness. Many teams we spoke to are hitting the same wall: data pipelines (on sample data only!) built for dashboards, not for near real-time, production-grade AI. This is why "data prep" is no longer a back-office task. It’s a strategic capability.

3. Acceleration is no longer optional. The demand for compute is exploding. And guess what? GPU capacity is already oversubscribed into 2026. If your data stack can’t scale efficiently, both technically and economically — it won’t scale at all.

GTC reinforced what we’ve been building toward for years: AI Factories are the new data centers, and the performance layer that connects raw data to intelligence is the next great battleground. We’re proud to be part of the shift from AI experiments… to AI infrastructure.

30/10/2025

AI is driving massive energy demand. But smarter data processing can change that.
Learn how GPU acceleration makes greener data centers possible.
Read the blog → https://bit.ly/4oIgf3o

29/10/2025

We are at GTC DC, and here’s our take after listening to Jensen Huang’s keynote:

“AI is the new infrastructure.”
“Accelerated computing’s moment has arrived.”

He wasn’t just talking about GPUs.
He was laying out a new industrial vision: AI Factories that power every sector - from telecom and healthcare to finance and defense.
But here’s the disconnect no one wants to talk about:
Everyone wants AI.
Few have the infrastructure to produce it.

We’re still seeing:
* Slow, batch pipelines
* Sampled datasets
* Tools not built for making real decisions

That won’t cut it anymore. The winners will be those who can manufacture intelligence the way we once manufactured steel or semiconductors - at scale, on demand, without compromise.

That’s the AI Factory.

And that’s exactly what we’re building at SQream.
We’re not here to help companies experiment with AI.
We’re here to help them industrialize it.

23/10/2025

Code & Tell where the entire team can check out the latest and greatest.

16/10/2025

Petaflop AI just hit the edge.
When Jensen Huang hand-delivered the DGX Spark to Elon Musk, one thing was clear: AI is moving local.

SQream powers that shift.
Our GPU engine runs big data analytics directly on edge devices like NVIDIA Jetson, compressing data 5:1 and cutting transfer costs by up to 80%.

Cost-efficient. Edge-ready.

If you’re heading to GTC DC, let’s meet: https://bit.ly/46Wrbo8

15/10/2025

Heading to NVIDIA GTC DC? SQream is too.
We fuel AI Factories with GPU-native acceleration.
Let’s meet and talk AI performance, cost, and scale.
https://bit.ly/4ha7OeV

12/10/2025

SQream just finished a great week at SEMICON West 2025 in Phoenix, connecting with industry innovators driving the next generation of AI and smart manufacturing.

From energy-efficient AI and digital twins to edge analytics, one message was clear: data performance is now a key competitive advantage.

Our GPU-native analytics platform helps manufacturers gain faster insights, improve yields, and power the AI Factory of the future.

29/09/2025

Our leadership team just returned from a meaningful and productive week in Korea.

The schedule was packed, meeting key accounts, engaging with business partners, and hosting a SQream event to share our AI Factory vision.

The feedback we received was encouraging, especially around the value of our technology and the support our teams provide.
Korea continues to be a great, growing market for us. The relationships we’re building and the momentum on the ground give us a strong foundation for what’s next.

Huge thanks to the team that made this week happen, your attention to detail and thoughtful planning made all the difference.

21/07/2025

Imagine if you could ask your data questions in plain English and get instant, actionable answers.
Stop imagining. We just made it a reality!!!
https://bit.ly/40pMPxt

.ai

30/06/2025

The promise of the AI Factory is immense, but many organizations find their AI ambition silently crippled by their data infrastructure. It's not about bad models or slow GPUs; there's a hidden cost of complexity in your data pipeline that's draining resources and stalling progress.

Our latest blog post confronts this uncomfortable truth. Discover how simplifying your data infrastructure can truly keep pace with your AI ambition and unlock the full potential of your generative, agentic, and industrial AI solutions.

Stop compromising your AI Factory's potential. Read the full story now: [Link to Blog Post]

Address

2 Jabotinsky
Ramat Gan

Website

http://sqream.com/

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