Beyond Brute Force.
Deterministic Logic.

Developing specialized Foundation Models and Cognitive Architectures. We replace probabilistic hallucinations with deterministic reasoning chains, optimized for Grace Blackwell unified memory topologies.

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// COMPUTE TOPOLOGY

RnDaiTa is standardized on the NVIDIA Grace Blackwell (GB10) architecture. Our Sofia R&D facility operates a high-density DGX Spark cluster, dedicated to multi-node orchestration and the training of localized, sovereign models.

Technological Pivot

> Cognitive Reasoning

Moving beyond transformer next-token prediction. Our architecture utilizes an agentic logic layer to deliver mission-critical accuracy in financial and industrial modeling.

> Sovereign AI Foundations

Training specialized localized models—starting with the Ukrainian language—to ensure cultural nuance, linguistic sovereignty, and high-fidelity inference.

Research Verticals

01. Deterministic Agents

Solving the hallucination problem for Enterprise-grade reasoning systems through logic-based weight optimization.

02. Material Science

Applying cognitive modeling to 3D printing and biotech, simulating molecular synthesis through logic-graph consumption.

03. Open-Source Lean AI

Distributing task-specific "Small Models" that outperform standard LLMs while maintaining a lean hardware footprint.

Standardized Infrastructure
NVIDIA Grace Blackwell GB10 Stack