Curvia AI, a London firm built on the MillionLogics Oracle consultancy, is now hiring heavily for AI evaluation work: rubric writing, multimodal evaluation materials and terminal-based scientific benchmarks. The scientific-computing stack (JAX, PyTorch, LAMMPS, GROMACS, OpenFOAM, RDKit, Docker) and globally distributed data and engineering hiring point to expert-sourced model training and benchmarking, not classic ERP delivery.
Curvia AI is a privately held technology company headquartered in London, founded in 2020, with 51–200 employees. It evolved from MillionLogics and continues its enterprise and Oracle work, including Oracle Fusion, APEX, SCM, CX, OCI migration and change management. Alongside this, it runs AI-focused services such as AI training, evaluation content creation and benchmark development. Its contributors span data, engineering, research and healthcare disciplines, with hiring across India, Brazil, Saudi Arabia, Malaysia, the United States, Thailand and Indonesia.
Curvia AI works with Python, C++, Julia, MATLAB, NumPy, SciPy, Pandas, PyTorch, JAX, scikit-learn and Docker, plus scientific tools such as LAMMPS, GROMACS, OpenMM, RDKit, OpenFOAM and ROS.
Current work centers on AI evaluation: multimodal evaluation materials, prompts and rubrics, conversation quality review, terminal-based scientific benchmark tasks and reproducible containerized environments with automated grading.
Curvia AI is hiring in India, Brazil, Saudi Arabia, Malaysia, the United States, Thailand and Indonesia, mainly for data, engineering, research and healthcare roles, with hiring accelerating.
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Curvia AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
