SWE-2
SWE-2 is Cognition’s advanced coding model designed to improve software engineering performance while reducing the cost of agentic coding workflows. The model is post-trained from Kimi K3 and uses reinforcement learning to optimize multiple reasoning-effort levels within a single training run. SWE-2 is designed to explore codebases more selectively, begin implementation sooner, and complete tasks with fewer redundant reads and reasoning steps than earlier Cognition models. Its capabilities include code generation, debugging, test creation, verification, repository analysis, and complex terminal-based software engineering tasks. The model also emphasizes stronger engineering judgment, end-to-end test coverage, instruction following, and evidence-based verification of user assumptions. SWE-2 is available through Devin Desktop and Devin CLI, with broader rollout planned across Devin Web and Fusion.
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Cognite
Cognite is an industrial data and AI platform that helps asset-intensive organizations unify, contextualize, and activate their operational information to improve decision-making, increase efficiency, and accelerate digital transformation. Built with scalability and openness in mind, the platform supports integration with existing tools and workflows through open APIs and connectors. It also provides low-code industrial AI agents and workbenches, enabling users to automate complex tasks, execute advanced analytics, and develop AI-driven workflows without extensive software engineering investment. Cognite breaks down data silos, enabling contextual search across large datasets, powering predictive maintenance and reliability analytics, and scaling AI solutions across facilities and enterprise operations.
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Siemens Industrial Copilot
Siemens Industrial Copilot is a generative AI-powered assistant designed to help industrial companies optimize workflows, scale operations, and drive innovation across the entire industrial value chain, from design and planning to engineering, operations, and service. Developed in partnership with Microsoft, it supports human-machine collaboration by automating repetitive tasks, reducing workloads, and helping bridge skilled labor gaps. Engineering teams can generate, optimize, and debug complex automation code, accelerate development, and improve productivity. Maintenance professionals can interact with the assistant through a chatbot interface to explain equipment problems, request information, troubleshoot machinery, and discuss suggested solutions. It supports key maintenance tasks, from configuration to remediation, helping minimize machine downtime and improve operational efficiency.
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FlowFuse
FlowFuse is an industrial application software built on Node-RED that lets teams connect machines and protocols, collect and model data, and operate applications at scale while adding AI-powered assistance to accelerate development and deployment. It extends the intuitive low-code, visual programming environment of Node-RED with enterprise-grade features such as secure communication with devices, robust operational management, centralized remote deployment, team collaboration, and comprehensive security controls. FlowFuse includes interactive, responsive dashboards, AI-assisted flow creation and enhancement, and tools for transforming raw data into structured models using natural language prompts. It also adds support for DevOps-style pipelines to manage staged environments and version control, remote fleet management through a device agent, and advanced observability to monitor performance across instances.
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