Apoth3osis Advanced Computing
We Code, You Conquer: Applying AI To The Real World
What We Do
Our team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment on edge devices. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation.
Computer Vision
Developing and optimizing algorithms for computer vision applications in business, industry, and government applications. This includes anything from model selection, training, and tuning, to pipeline triggers and actionable insights that integrate into existing infrastructure.
Edge Computing
Optimizing neural network architectures for deployment on resource-constrained edge devices. We can implement anything from ultra-small fine tuned on-device models with high performance, extreme privacy, and low power consumption to hosted infrastructure that is device agnostic and super flexible.
Agentic AI Systems
MCP server design and deployment, allowing for exterior workflow integration to Large Language Models and other AI infrastructure. These servers allow for the creation of Agentic AI Systems while retaining security and required guard rails.
Recent projects
Merging the principles of Neural Cellular Automata (NCA) which learn emergent behaviors via gradient descent with Differentiable Logic Gate Networks.
By integrating deep learning with quantum annealing samplers, we automate discovery of highly effective QUBO matrices for specific problem classes.
E-DQAS on PennyLane - A Demonstration of Platform-Agnostic and Hardware-Tailored Architecture Search
We deploy the E-DQAS platform to find the ground state of the 1D Transverse Field Ising Model (TFIM), a benchmark for quantum phase transitions.
We use Hermitianization to map a non-Hermitian problem onto a Hamiltonian that is fully Hermitian and thus executable on quantum hardware.
We introduce an advanced application of our (E-DQAS) platform, now re-engineered to treat physical symmetry as a non-negotiable guiding principle.
Symmetry-Preserving Differentiable Quantum Architecture Search automates the discovery of physically valid, hardware-efficient circuits.
Inspired by Differentiable Logic Cellular Automata, E-DQAS reverse-engineers a problem's quantum dynamics into discrete, optimal circuit structures
Introducing a novel computational framework leveraging quaternion algebra as a unified language for both quantum and classical machine learning.
We posit that collective cognitive phenomena, such as financial markets, are guided by latent, pre-existing mathematical patterns.