Products

Orbital monitors thousands of sensors, forecasts outcomes, finds optimal set-points across competing objectives, and informs early warnings of equipment issues all in real time. It learns from your plants' real operating data, but is constrained by the physics that governs your process.

Cutting-edge AI-driven infrastructure tailored for collecting, analyzing, and interpreting behavioral data. By leveraging the power of AI and machine learning, we transform raw behavioral data into actionable intelligence, enabling organizations to make data-driven decisions with unprecedented accuracy and efficiency.

Conviction AI is an innovative platform designed to streamline web automation tasks through natural language instructions. By simply describing the desired automation, users can direct the Conviction Assistant to browse websites, perform specific actions, or extract data efficiently. This user-friendly approach eliminates the need for complex coding, making automation accessible to a broader audience. Key Features and Functionality: - Automation Studio: Enables users to create automations by d

NVIDIA Nemotron is a family of open-source, multimodal AI models designed to empower developers and enterprises in building advanced agentic AI systems. These models excel in tasks such as complex reasoning, coding, visual understanding, and information retrieval, making them versatile tools for a wide range of applications. Key Features and Functionality: - Open Models: NVIDIA provides transparent and adaptable models, allowing developers to customize and deploy AI solutions with confid

Stable LM 2 12B is a 12.1 billion parameter decoder-only language model developed by Stability AI. Pre-trained on 2 trillion tokens from diverse multilingual and code datasets over two epochs, it is designed to generate coherent and contextually relevant text across various applications. The model employs a transformer decoder architecture with 40 layers, a hidden size of 5120, and 32 attention heads, supporting a sequence length of up to 4096 tokens. Key features include the use of Rotary Posit

StepFun is an innovative technology company specializing in the development of advanced artificial intelligence (AI) models and tools designed to enhance human-AI collaboration across various domains. By integrating cutting-edge research with practical applications, StepFun aims to provide solutions that streamline complex tasks, improve efficiency, and foster creativity. Key Features and Functionality: - Multimodal AI Models: StepFun has developed models like Step3, a multimodal reasoning

Phi-4 is a state-of-the-art language model developed by Microsoft Research, designed to deliver advanced reasoning capabilities within a compact architecture. With 14 billion parameters, this dense decoder-only Transformer model is optimized for text-based inputs, particularly excelling in chat-based prompts. Trained on a diverse dataset comprising 9.8 trillion tokens—including synthetic datasets, filtered public domain content, academic literature, and Q&A datasets—Phi-4 emphasizes high-qua

Yi-Large is a cutting-edge large language model (LLM developed by 01.AI, designed to deliver exceptional performance in natural language understanding and generation tasks. With a substantial parameter scale, Yi-Large excels in multilingual capabilities, particularly in languages such as Spanish, Chinese, Japanese, German, and French. It is engineered to rival leading models like GPT-4, offering a cost-effective solution for complex AI applications. Key Features and Functionality: - Multil

Command A is Cohere's most advanced large language model, specifically engineered to meet the complex demands of enterprise applications. With 111 billion parameters and a context length of 256,000 tokens, it excels in tasks such as tool use, retrieval-augmented generation , agent-based workflows, and multilingual processing across 23 languages. Designed for efficient deployment, Command A operates effectively on just two GPUs, making it a cost-effective solution for businesses seeking high-perf

Deep Cogito builds general superintelligence via advanced reasoning and iterative self‑improvement LLMs outperforming peers.

Together with advanced constitutive material models, various complex mechanisms can be captured including, breakout modes, creeping shale, internal / external filter-cake. Elfen wellbore includes all near wellbore applications such as, stress, stability and loss circulation, fines migration and mud-cake modelling, sanding analysis and prediction, sand screens and advanced completions systems design, near wellbore fracture and damage prediction, and well string assessments (via Elfen horizon).

The efficient and intuitive UI allows the user to import in-situ conditions, define the completion design and injection schedule and realise the most detailed physics-based fracture propagation in terms of fracture height growth and influence of stress shadowing.

Elfen Horizon can provide operational limits to mitigate potential risks from well instability, fault slip, reservoir compaction and mudline subsidence. The field scale reservoir and overburden are 3D structures with complex material and stress states that cannot be accurately described by traditional 1D methods.

Accurate large strain Finite Element simulations of geological evolution.

Decision support solution designed to identify potential well candidates for workovers and provide reliable geological and process data