


The AI Data Plane for Agentic AI.
what we do
The AI Data Plane for Agentic AI
Nol8 is building the AI Data Plane, a full-stack, accelerated infrastructure layer that moves and processes AI data in real time, so AI agents can operate reliably at speed and scale.
Ingest torrents of data at extreme volume. Act instantly.
Agentic AI turns data movement into the bottleneck. As AI shifts from prompts to always-on autonomous systems, the legacy model breaks under three pressures: speed, power, and real estate.
Nol8 delivers deterministic, hardware-accelerated performance under real-world load, not best-effort streaming. That means predictable tail latency and stable throughput, with far less wasted compute, power, and footprint.
Built for Edge. Ready for Cloud.
Nol8 runs wherever performance matters. Deploy on-prem to deliver deterministic, ultra-low latency close to your data center and accelerated infrastructure. Or run Nol as a managed service in the cloud for deterministic millisecond-grade performance under massive, bursty workloads, so you can scale agentic systems without scaling racks, power, and footprint.
Why Us
Unmatched Performance
Today’s systems degrade under pressure. As data volumes rise, latency spikes and user experience breaks down.
Nol8 is fundamentally different.
Our breakthrough architecture delivers millisecond-grade P99 latency at 100 Gbps throughput, maintaining line-rate performance no matter how intense the workload.
Resilient at Any Load
Most platforms crumble under real-world conditions. To stay afloat, teams overprovision compute, layer on caches, and stitch together fragile pipelines.
Nol8 stays stable.
We scale linearly with data volume, sustaining performance without extra hardware, caching, or tuning. Costs stay predictable and latency stays flat even at peak load.
Designed for Live Systems
Traditional data engines rely on batching and buffering, introducing lag that kills responsiveness.
Nol8 operates in true real time.
Data is processed the moment it arrives, enabling instant reactions for gaming, trading, security, and AI systems that can’t afford delay.
Why Us
Unmatched Performance
Resilient at Any Load
Designed for Live Systems
Today’s infrastructure wasn’t built for agentic workloads. As data volumes rise, latency spikes, costs balloon, and systems become brittle.
Most platforms crumble under real-world conditions. To stay afloat, teams over-provision compute, layer on caches, and stitch together fragile pipelines, driving up power, cost, and operational drag.
Traditional data engines rely on batching and buffering, introducing lag that kills responsiveness, especially when AI must act, not just analyze.
Nol8 is fundamentally different.
Nol8 stays stable.
Nol8 operates in true real time.
Our demonstration engine has shown step-change results: latency from 500ms to 3ms (160×) and event processing from 5,000 to 2,000,000 events per second (400×).
Deterministic performance means fewer surprises, simpler capacity planning, and power spent on AI, not on keeping legacy plumbing alive, even as workloads spike.
Data is processed as it moves, enabling instant reactions for agentic AI and real-time enterprise systems that can’t afford delay.
Use cases
Making Agentic AI Unstoppable
AI workloads, including agentic AI, burn enormous compute just to move and process data. Hundreds of CPUs are wasted on parsing, validation, and filtering. These are costly, power-hungry, and prone to unpredictable latency.
Nol8 offloads that entire layer. It delivers deterministic throughput equivalent to millions of tokens per second, ensuring data flows instantly from model to action.
The Next Era of Gaming
Modern games run on live action with millions of events per second, but today’s data pipelines can’t keep up. Even small delays break immersion, tilt the match, or let abuse slip through.
Nol8 brings real-time intelligence to gameplay itself: cheats are blocked the instant they trigger, NPCs evolve with every move, toxic chat is silenced before it spreads, and cloud matches feel local again.
Reinventing Data Infrastructure
As enterprises chase scale, their streaming stacks have grown bloated: Kafka clusters, Flink jobs, vectorized parsers, and endless transformations. Each step adds delay and cost.
Nol8 replaces this complexity with a single, deterministic layer that validates, transforms, and routes data at line rate. It makes pipelines leaner, cheaper, and faster to evolve.
Use cases
Making Agentic AI Unstoppable
Reinventing Data Infrastructure
Real-Time Enterprise Operations
AI agents generate nonstop streams, tool calls, retrieval, events, and runtime signals and the bottleneck becomes data-in-motion. Most stacks weren’t built for this: latency spikes, retries multiply, and reliability degrades as autonomy scales.
Enterprise streaming stacks have become sprawling: clusters, jobs, buffers, transforms, and glue code, each adding cost, latency, and operational drag. Under always-on AI workloads, that complexity becomes a constraint.
When AI moves from insight to execution, milliseconds turn into operational risk. Pricing, fraud, supply chain, network operations, customer support automation, delays become failures, not just slower dashboards.
Nol8 provides the AI Data Plane for agentic systems, delivering deterministic real-time processing under sustained and bursty load, so agents can run continuously at speed and scale without brittle pipelines or runaway infrastructure.
Nol8 consolidates the real-time layer into a single deterministic platform that validates, transforms, and routes data as it flows. The result: faster time-to-production, fewer moving parts, and materially improved infrastructure economics across speed, power, and real estate.
Nol8 powers real-time enterprise operations by processing data-in-motion deterministically at scale, enabling automation and decision loops that stay stable under load with less wasted compute, lower power draw, and a smaller data-center footprint.
technology
Nol8 is built for the next infrastructure era: AI agents and the data explosion they create.
At the core is a neural-network-based algorithm optimized for accelerated hardware, enabling deterministic real-time processing of high-volume data streams with dramatically lower overhead.
The result is step-change performance: event processing scaled from 5,000 to 2,000,000 events per second, and latency reduced from 500ms to 3ms.
Because performance is deterministic, the same workloads can run with far fewer machines, reducing footprint, cost, and power, and redirecting energy where it matters: straight into AI.
TEAM
Built by leaders in accelerated systems, networking, and large-scale infrastructure.

Yossi Keret
Co-founder & CEO
Seasoned executive with over 20 years of leadership experience as CEO and CFO in semiconductors, biotech, and technology. Successfully led WeebitNano from concept to a publicly traded company on the ASX, demonstrating entrepreneurial vision, strategic leadership, operational excellence, and strong execution capabilities. Led significant private equity raises for public companies and played an active role in multiple M&A transactions.

Alon Rashelbach, PhD
Co-founder & CTO
Alon holds a PhD in Computer Systems and Electrical Engineering. He brings deep expertise in accelerated computing, networking, and emerging hardware platforms. His background spans advanced hardware design and system-level architecture, alongside extensive experience building high-performance software and algorithmic pipelines. He has led technology efforts in both startups and large companies. Alon previously worked at Mellanox (now NVIDIA) and Unit 8200 in the IDF.

Prof. Mark Silberstein
Co-founder
Mark is a renown, award-winning scientist in broad areas of computer systems, including networking, processor architecture, and cyber security. With over 70 publications in top scientific venues cited thousands of times by others, his research also has had direct impact on the flagship products of major computing vendors, including NVIDIA, Mellanox, Western Digital and Intel.
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Nol8. The AI Data Plane.
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