We solve the unsolvable.
Our Vision
Most AI solutions suffer from a "reality gap" - they hallucinate facts or violate physical laws. At Fanis AI, we solve this by fusing two worlds.
We develop proprietary AI architectures and open-source tools. We use stochastic Deep Learning where it excels: perception, pattern recognition, and creativity, but we ground these models in deterministic Physics and Mathematics where required.
Whether building Autonomous Agents or Computer Vision systems, we ensure that while the AI may learn probabilistically, it executes logically.
Leadership Team
A Kaggle Competitions Master and CVPR Challenge Winner with over a decade of R&D experience. Nikolay specializes in hybrid AI architectures that integrate deep learning with physics-based constraints, enabling robust solutions in dynamic real-world environments built on rigorous scientific foundations.
Company Values
Stochastic Perception
We use state-of-the-art Deep Learning and AI to extracting valuable insights from noisy and redundant real-world data (video, audio, text, point clouds). We embrace the probabilistic nature of AI to handle the chaos of the real world.
Deterministic Grounding
We don't let AI guess when it can calculate. We enforce rigid constraints using Physics and Geometry, ensuring our agents act with mathematical certainty.
Edge-First Architecture
Intelligence shouldn't cost a fortune in cloud fees. We optimize our hybrid models to run efficiently on edge devices and on-premises, ensuring low latency and data privacy.