Arputer Technologies is an interdisciplinary AI research company and deep tech incubator. We build the infrastructure for Agentic AI and commercialize custom trained, fine-tuned frontier models.
Designed for collective intelligence, our cloud-native infrastructure provides a multi-tenant, zero-trust environment for orchestrating Agentic AI. We treat infrastructure as code and "Algorithm as a Service" (AaaS), allowing researchers to deploy massive-scale workloads seamlessly.
We commercialize bespoke, fine-tuned frontier AI models designed to solve complex interdisciplinary problems. Our advanced deep learning research focuses on bridging domains by custom training neural architectures for fundamental sciences like computational biology, quantum chemistry, and material physics.
We are deeply committed to open-source technology to accelerate collective intelligence. By contributing our foundational research, pre-trained model weights, and tooling back to the global community, we are driving the next generation of Algorithm-as-a-Service (AaaS) platforms.
We back early-stage founders and university spin-outs building the future of intelligence. Beyond capital, our portfolio companies gain exclusive access to our world-class research talent and proprietary compute infrastructure.
Investing in teams applying deep learning to structural biology, genomics, and advanced materials, accelerating the scientific method through AI.
Backing innovations in reinforcement learning and multimodal perception that bridge the gap between digital intelligence and physical execution.
Funding research into mechanistic interpretability, AI alignment, and robust verification systems to ensure frontier models remain safe and controllable.
Capital is only part of the equation in deep tech. We act as an incubator, providing our founders with heavily subsidized allocation on The Secure Compute Fabric to train custom models, alongside direct technical advisory from our Senior AI Research Scientists.
Help us build the tools that will power the next era of discovery. We are hiring across our global hubs.
Lead custom training of massive multimodal models for scientific applications. Requires deep expertise in PyTorch, neural architectures, and a strong publication record in top-tier conferences (NeurIPS, ICML). You will collaborate closely with interdisciplinary domain experts to translate biological and physical problems into mathematical formulations.
Architect and scale "The Secure Compute Fabric." You will build our Algorithm-as-a-Service (AaaS) platform utilizing Kubernetes, Go, and Terraform. Experience with GPU cluster orchestration, Kubeflow, and managing high-throughput data pipelines is essential. Help us build zero-trust environments for sensitive commercial workloads.
Develop the orchestration layer for autonomous AI agents. Focus on multi-agent communication protocols, memory management, and tool-use verification. Proficiency in Python, PyTorch, and experience with distributed systems is required to ensure scalable and reliable agent workflows.