Computer Vision
Computer vision for medical, industrial and satellite imagery: detection, segmentation, super-resolution and real-time inference on edge devices.
Archeon Solutions is an AI research and engineering company in San Francisco and Dubai. We design, train and deploy AI agents, LLMs and computer vision systems for banks, hospitals, industrial operators and AI labs, from research to production. Our team built the inference stack behind a DeepSeek R1 world record on NVIDIA Blackwell and has built AI at NVIDIA, Siemens Healthineers and JP Morgan.
Inference speed on DeepSeek R1 in FP4: 303 tokens per second, verified by Artificial Analysis.
AI researchers and engineers.
San Francisco and Dubai.
Archeon is a small team of senior AI researchers and engineers. We work inside your engineering team, ship a working system, and hand over the code, models and documentation so your team can run it without us.
Inference speed on DeepSeek R1 in FP4 on NVIDIA Blackwell: 303 tokens per second.
Medical imaging research with Siemens Healthineers and UCL.
Built systems at NVIDIA, JP Morgan, Siemens Healthineers, Avian.
Computer vision, LLM engineering, AI agents, healthcare AI, finance AI and applied research. One team runs all six, and most projects combine two or three of them.
Computer vision for medical, industrial and satellite imagery: detection, segmentation, super-resolution and real-time inference on edge devices.
On-prem and air-gapped LLM deployment with custom kernels, low-precision inference and speculative decoding, the methods behind our DeepSeek R1 inference world record on NVIDIA Blackwell with Avian.io and NVIDIA.
Agentic workflows that use your tools and data, run on models inside your perimeter, and keep a human approval step and an audit log for every action.
Medical imaging, real-time ultrasound and diagnostic AI, built with regulatory requirements in mind and tested to hospital reliability standards.
Risk models, alpha research tools and document intelligence for banks and asset managers, built to pass model validation, audit and stress testing.
Applied AI research for problems without a known solution. We co-author with UC Berkeley, Harvard and UCL, then deploy what works into your stack.
We work in industries where a model error is expensive: banking, healthcare, industrial operations, the public sector and AI labs. Choose an industry to see what we build there.
We build risk engines, on-prem LLM stacks and document-intelligence systems for tier-1 banks and asset managers. Auditable from training data to inference and deployed inside your perimeter, with no third-party model APIs.
Medical imaging, real-time ultrasound AI and diagnostic systems built to hospital reliability standards. We have built real-time endometriosis detection on ultrasound video, CT super-resolution and registration pipelines with Siemens Healthineers and academic partners.
Hyperspectral remote sensing, geospatial intelligence and edge vision for industrial operators and the public sector. Our models run on satellite data and on edge hardware at remote sites with little bandwidth.
GPU performance engineering for teams limited by throughput or cost: custom CUDA kernels, quantization, distributed inference and training infrastructure. We contribute to open source where it helps the work.
Projects with measured results: inference throughput, radiation dose reduction, detection accuracy and latency in the operating room.
Before Archeon, our team built and ran production AI at these companies. We bring that experience with compliance, scale and clinical requirements to every client project.
AI & Accelerated Computing
Inference optimization, custom CUDA kernels and accelerated training pipelines.
Medical AI
Clinical imaging, diagnostic models and registration systems shipped into hospitals.
Financial AI
On-prem LLM tooling and document intelligence inside a tier-1 banking perimeter.
Archeon is a small team of senior AI researchers and engineers based in San Francisco and Dubai. The people who scope your project are the people who write the code, and they stay until your team can run the system on its own.
Active collaborations with research groups at Berkeley, Harvard and UCL.
Bring a real problem to a 30-minute call with a senior engineer and a researcher from our team. No sales deck and no screening call first.