We envision a world where we don’t need to compromise on real-time algorithms. A world where we can find a needle in a haystack at scale.
Why We Started Hyperspace
The Need
The demand for advanced search capabilities today is growing exponentially: whether it’s Netflix providing movie recommendations for hundreds of millions of users or Amazon helping customers find the perfect product to buy.
The Challenge Today
It is becoming extremely difficult to achieve search at scale due to cloud computing costs, software limits, and queries that are becoming more complex. This makes it nearly impossible to reach consistent real-time latencies of under 100ms.
The Solution
To deal with these challenges, we built a dedicated chip for search in order to achieve latencies that are 10x faster than existing search databases. At billion-scale, and at a fraction of the existing cost.
Why We Started Hyperspace
The Need
The demand for advanced search capabilities today is growing exponentially: whether it’s Netflix providing movie recommendations for hundreds of millions of users or Amazon helping customers find the perfect product to buy.
The Challenge Today
It is becoming extremely difficult to achieve search at scale due to cloud computing costs, software limits, and queries that are becoming more complex. This makes it nearly impossible to reach consistent real-time latencies of under 100ms.
The Solution
To deal with these challenges, we built a dedicated chip for search in order to achieve latencies that are 10x faster than existing search databases. At billion-scale, and at a fraction of the existing cost.
Hyperspace Leadership
Ohad Levi
Co-founder and CEO
A product and business expert, Ohad is a visionary product leader with over 15 years of experience in driving product strategies for disruptive technologies, building strong teams and engaging people around ideas.After leading product teams at Intel, HP and Click Software and launching enterprise-grade products in new markets, Ohad set out on a new journey. He’s now introducing an enterprise-grade, AI-search acceleration engine for companies making real-time predictions and facing performance and scalability challenges.
Max Nigri
Co-founder and CTO
After teaching computer science to hundreds of students and working at global giants like Intel, Broadcom and Texas Instruments as well as multiple successful startups, Max became an inventor and entrepreneur. His first invention was an IP core for Logic Simulation acceleration. Now, he’s using his expertise in accelerating complex data workloads and workload migration from software to hardware, to solve one of the most challenging problems in the search domain - achieving speed at scale.
Backed By
The Search Database that is proven to be 10x faster and 3x more cost-effective.
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