Antheq
Building intelligent systems at the intersection of artificial intelligence, robotics, and silicon.
Antheq is an early-stage technology company working at the intersection of artificial intelligence, robotics software, and chip architecture. We are building the foundational layers that will power the next generation of intelligent machines.
Our current focus is on large language models and robotics software — creating the tools and infrastructure needed to make autonomous systems more capable and accessible. The long-term vision includes designing custom GPU-class accelerators optimized for the workloads we are building today.
We are a small team, just getting started. No exaggerated claims — just honest work on hard problems. We believe the most important technology is built with patience, rigor, and a clear understanding of what matters.
Artificial Intelligence
Building and fine-tuning large language models. Our work spans model architecture, training pipelines, and inference optimization — with a focus on making LLMs more efficient and practical for real-world deployment.
Robotics Software
Developing the software stack for autonomous robotic systems — perception, planning, and control. We are creating the middleware that connects AI models to physical hardware, enabling machines to understand and act in the real world.
Chip Architecture
Research into custom GPU-class accelerator design. This is our long-term vision — purpose-built silicon that is optimized for the AI and robotics workloads we are developing. This work is in the early research phase.
Our research agenda spans three domains. These are the problems we are actively thinking about and working on.
Efficient inference and model compression for deployment on constrained hardware
Investigating quantization, pruning, and knowledge distillation techniques to reduce the computational requirements of large language models without significant loss in capability.
Multi-modal reasoning across text, vision, and sensor data
Exploring architectures that unify language understanding with visual perception and real-time sensor inputs — enabling models that can reason about the physical world.
Learning-based control policies for manipulation tasks
Developing reinforcement learning and imitation learning approaches for robotic manipulation, with a focus on generalizing across object geometries and task specifications.
Real-time perception pipelines for autonomous navigation
Building efficient computer vision and sensor fusion systems that enable robots to perceive and navigate complex, unstructured environments at low latency.
Accelerator architectures for sparse neural network workloads
Early-stage research into custom silicon designs that exploit the sparsity patterns in modern neural networks to achieve higher throughput and energy efficiency.
An honest look at our progress. We are early — and we are building.
Founded
CompleteAntheq established. Initial research direction set across AI, robotics, and chip architecture.
Foundation
In ProgressBuilding core LLM training infrastructure and robotics software prototypes. Establishing the research team and development workflows.
First Systems
PlannedDeploy initial language model and robotics middleware. Open-source select research tools and publish findings.
Custom Silicon
Long-term VisionDesign and tape-out first custom accelerator chip optimized for our AI and robotics workloads.