Fortifai Limited has launched a detailed roadmap for Nol8’s Agentic AI Data Plane technology, promising a dramatic leap in AI data processing speed and efficiency ahead of a commercial platform launch by the end of 2026.
- Nol8’s AI Data Plane reduces infrastructure from 5,000 CPUs to a single FPGA
- Latency improved from 500ms to 3ms, a 160x enhancement
- Demonstrated 400x increase in events processed per second to 2 million EPS
- Commercial platform launch targeted for end of 2026 following benchmarking phase
- Agentic AI market projected to reach USD 4 trillion by 2030, driven by unstructured data growth
A New Era in AI Infrastructure
Fortifai Limited (ASX, FTI) has taken a significant step forward in the AI infrastructure space with the unveiling of a formal roadmap for Nol8’s Agentic AI Data Plane technology. This innovation promises to overcome the critical bottlenecks that have long constrained the deployment of real-time autonomous AI agents, a sector forecasted to explode into a USD 4 trillion market by 2030.
At its core, the Nol8 AI Data Plane shifts data processing away from traditional CPU clusters to a specialised neural network architecture accelerated by Field-Programmable Gate Arrays (FPGAs). This hardware-software synergy has already demonstrated a remarkable reduction in infrastructure overhead, from 5,000 CPUs down to a single FPGA, while slashing latency from 500 milliseconds to just 3 milliseconds, a 160-fold improvement.
Addressing the AI Data Bottleneck
The explosion of AI-generated unstructured data, text, images, audio, and video, poses a formidable challenge for legacy data pipelines designed for batch processing of structured data. Nol8’s technology tackles this head-on by enabling millisecond-grade processing of high-volume data streams, effectively dismantling what the company terms the “scalability ceiling.” This ceiling has traditionally meant ballooning costs and operational complexity as enterprises scale AI workloads.
By operating at the speed of data-in-motion, Nol8’s AI Data Plane acts as a high-speed bridge between large language model inference and real-time execution. This capability is critical as AI systems evolve from simple prompt-response models to persistent, autonomous agents that continuously ingest data, interact with external tools, and execute decisions in real time.
Roadmap to Commercialisation
Fortifai’s announcement outlines a clear three-stage development path. The first stage, already proven, is the Demonstration Engine, which has achieved a leap from 5,000 to 2 million events per second while drastically reducing power and space requirements. The next phase, set for July 2026, involves a Customer Benchmarking Engine designed to validate performance with real-world enterprise datasets across various AI verticals.
The final stage targets a revenue-ready commercial platform launch by the end of 2026. This production-grade engine aims to provide scalable, real-time AI data processing solutions to global organisations, positioning Fortifai and Nol8 at the forefront of the rapidly expanding agentic AI infrastructure market.
Implications for the AI Industry
Industry leaders like Anthropic are already grappling with infrastructure constraints that compress margins despite rapid revenue growth. Nol8’s approach could offer a much-needed solution by decoupling data volume from infrastructure costs, enabling enterprises to scale AI adoption sustainably. As AI-generated data flows are projected to surge from 334 zettabytes in 2025 to over 19,000 zettabytes by 2030, innovations like Nol8’s AI Data Plane will be critical to unlocking the full potential of autonomous AI agents.
Fortifai’s strategic acquisition of Nol8 and the launch of this roadmap signal a bold ambition to lead in AI infrastructure innovation. The coming months will be crucial as the company moves from demonstration to real-world enterprise benchmarking, setting the stage for commercial contracts and broader market adoption.
Bottom Line?
Fortifai’s Nol8 AI Data Plane roadmap sets the stage for a transformative leap in real-time AI infrastructure, with commercialisation and market impact on the horizon.
Questions in the middle?
- How will enterprise benchmarking results influence Nol8’s commercial adoption?
- What competitive responses might emerge from established AI infrastructure providers?
- Can Fortifai secure significant commercial contracts ahead of the 2026 platform launch?