Beyond Brute Force.
Deterministic Intelligence.
RnDaiTa is engineering a non-LLM cognitive architecture. We replace probabilistic token prediction with logic-based reasoning agents for high-fidelity financial modeling.
Request Developer Access> Current State (LLM)
Current Generative AI relies on "brute force" parameter scaling and probabilistic next-token generation. It hallucinates, lacks logic, and requires inefficient compute power for simple tasks.
> The RnDaiTa Engine
We are building a proprietary cognitive architecture. It mimics authentic reasoning chains using dedicated agents. Optimized for NVIDIA Grace-Blackwell unified memory topologies.
01. Cognitive Core
Developing the reasoning layer. A deterministic engine capable of analyzing complex financial datasets without the hallucination risks of transformer models.
02. Hybrid-Compute Topology
Orchestration layer designed for the Grace-Blackwell superchip. Enabling seamless transition between cloud training and edge-native inference.
03. The Knowledge Fabric
Proprietary data ingestion pipeline. Transforming unstructured market signals into a structured logic graph for autonomous agent consumption.
Our proprietary models are trained and deployed on next-generation hardware.