DataObrii highlights that Microsoft Research's new open-source framework Orchard addresses the problem of agents being trained in simplified environments and deployed inside complex systems.
Published
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Research & Knowledge
Quote
“Microsoft Research’s new open-source framework, Orchard, addresses a problem that is easy to underestimate: agents are often trained in simplified environments and then deployed inside much more complex systems.”
— Oleksii Romanko|DataObrii team
Company
DataObrii
AI & Data Science R&D: Agentic Systems, Predictive & Pricing Models, and Production-Grade Data Pipelines.
- Location
- London, GB
- Company size
- 16 employees
Building AI is easy. Making it work in production, scale with the business, and actually pay for itself? That’s the hard part. DataObrii is an R&D company specializing in complex AI, machine learning, and data systems. Led by a PhD from King’s College London, we combine mathematical research with production-grade engineering to design and build systems that are robust, scalable, and ready for real-world use. Core Expertise: Scalable Modeling: Demand forecasting and pricing models built for production. Agentic Systems: Autonomous AI agents and text processing systems and pipelines. Predictive ML: Predictive modeling, deep learning, and reinforcement learning. Data Foundations: Data pipelines, warehouse architecture, and feature engineering. Sector Expertise: Specialized AI and data R&D for Insurtech, Fintech, and Healthtech. Our work spans the full R&D cycle, from research and architecture to implementation and production, with a focus on technically demanding problems where standard approaches fall short. Working on a complex AI or data initiative? Let’s chat.