
11 - 50 employees
🤖 Artificial Intelligence
⚡ Energy
🤝 B2B
Artificial Intelligence • Energy • B2B
Applied Computing is an artificial intelligence company that builds physics‑grounded foundational models for energy and industrial operations. Its flagship product, Orbital, connects to plant DCS, historians and LIMS to monitor thousands of sensors in real time, forecast trends, detect anomalies, recommend optimal set‑points across competing objectives, and surface early warnings while enforcing physical constraints (mass and energy balances, reaction kinetics). Applied Computing combines time‑series models, physics‑based modeling and a language model trained on chemical engineering and petrochemical knowledge to produce explainable, auditable insights for oil & gas, refining and chemical plants. The company partners with industry firms (e. g. , KBR, Wipro) and has been recognized for AI innovation in the energy sector.
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11 - 50 employees
🤖 Artificial Intelligence
⚡ Energy
🤝 B2B
Artificial Intelligence • Energy • B2B
Applied Computing is an artificial intelligence company that builds physics‑grounded foundational models for energy and industrial operations. Its flagship product, Orbital, connects to plant DCS, historians and LIMS to monitor thousands of sensors in real time, forecast trends, detect anomalies, recommend optimal set‑points across competing objectives, and surface early warnings while enforcing physical constraints (mass and energy balances, reaction kinetics). Applied Computing combines time‑series models, physics‑based modeling and a language model trained on chemical engineering and petrochemical knowledge to produce explainable, auditable insights for oil & gas, refining and chemical plants. The company partners with industry firms (e. g. , KBR, Wipro) and has been recognized for AI innovation in the energy sector.
• Partner with managers and leaders on performance, development, team effectiveness, organisation changes and day-to-day people topics • Help managers set expectations, give feedback, address performance concerns, and make decisions about development and progression • Coach managers on leading teams, including difficult conversations and situations • Manage day-to-day employee relations matters, escalating complex or sensitive situations to the Head of Talent Experience • Own projects and workstreams across onboarding, performance, talent, manager capability and engagement • Turn People direction and priorities into practical solutions and delivery • Use data and feedback to identify organisational themes and improve ways of working • Collaborate with Talent Acquisition and People Operations on the employee experience • Support hands-on People team work in a small, growing company
• HR Business Partner, People Partner or strong HR generalist experience • Experience within a scale-up or fast-changing environment, within the tech industry • Experience working directly with managers on a range of people matters • Good foundations across performance, employee relations, talent and development • Some experience building or improving People processes, programmes or ways of working • Comfortable taking ownership and working autonomously, while knowing when to ask for support • Curious and keen to learn, with an interest in broadening experience as the company scales • Practical and willing to get into the detail • Able to bring structure to something that isn’t fully defined without needing everything mapped out • Clear, thoughtful communicator with good judgement • Comfortable working in an environment where priorities and processes continue to evolve
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