RESEARCH BRIEFING
FusonicEngine: The Future of Hybrid AI Starts Here
Knowly Research & Infrastructure | April 2025
“You don’t scale intelligence by stacking more layers. You scale it by building smarter systems.”
After years of foundational research and architecture design, Knowly is proud to introduce FusonicEngine — a brand-new neural platform built from the ground up to support Hybrid AI.
FusonicEngine replaces the long-standing KnowTech V-series architecture and marks a fundamental shift in how modern AI operates. Rather than relying on isolated model types or rigid inference pipelines, it introduces a layer-fused, dynamic architecture capable of flexibly allocating intelligence based on task complexity — all within a unified system.
Hybrid by Design
FusonicEngine is the first system where lightweight models and heavy reasoning modules don’t just coexist — they cooperate. Instead of switching between models, tasks flow across an integrated neural mesh where:
Dialogue-level inference and deep reasoning operate in shared memory
Multimodal processing (text, image, audio, video) is native, not bolted on
Computational routing is determined in real time, based on the input — not fixed instruction sets
This allows the system to respond at the right depth, on demand, at scale.
As of today, FusonicEngine fully replaces KnowTech V-series, which served as the backbone for four generations of Knowly models. With FusonicEngine, we aren’t just upgrading — we’re rethinking how intelligence should be structured at its core.
Infrastructure That Matches Ambition
To deliver this at scale, Knowly is partnering with NVIDIA to deploy over 200 RTX 5090 GPUs across our next-gen AI clusters. These GPUs are optimized for high-throughput, mixed-precision inference and give FusonicEngine the raw power to balance real-time interaction with deep contextual reasoning — even across multimodal inputs.
Our fused compute strategy allows small models to borrow reasoning depth from larger systems without incurring full-load costs, creating a new efficiency frontier.
What We’re Seeing So Far
Internal testing has begun, and while we’re not naming new models yet, the results are encouraging:
Nano-scale models (like the ones powering our mini assistants) are showing up to 25% gains in task accuracy, due to their ability to pass off complex prompts to deeper reasoning cores on the fly.
Large-scale reasoning models are hitting record-low latency and cost per inference, thanks to smarter allocation across fused pathways.
We won’t tease what’s coming — but let’s just say: the ceiling is much higher than we expected.
FusonicEngine is now live at Knowly.
The models built on it? Closer than you think.
For a full analysis on our new model technology, view our research paper here: