Computer use agents that know you | New York City .

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June 03, 2026 · New York City

Computer Use Agents

Learn how computer use agents learn from your actions, securely building context, injecting auth, and completing enterprise workflows with high performance.

Overview
Tech stack
  • Anthropic
    Anthropic is a frontier AI safety and research company, developing the Claude family of large language models (LLMs) via its Constitutional AI framework.
    Anthropic is an AI safety and research company, founded in 2021 by former OpenAI executives Dario and Daniela Amodei, and structured as a Public Benefit Corporation (PBC) . The core mission is building reliable, steerable AI systems, with a focus on interpretability and long-term alignment . Its flagship product is the Claude family of LLMs, which are highly capable models designed for complex reasoning and coding tasks . A key technical innovation is Constitutional AI (CAI), a training method that aligns the models with a set of ethical principles to ensure helpful, harmless, and honest outputs . The company has secured significant backing, including up to $4 billion from Amazon and a $2 billion commitment from Google .
  • OpenAI
    OpenAI is an AI research and deployment company: We build safe artificial general intelligence (AGI) to benefit all of humanity.
    OpenAI is a premier AI research and deployment company, focused on developing safe Artificial General Intelligence (AGI) for global benefit. The organization operates under a unique structure: a non-profit Foundation governs a for-profit Group, which functions as a public benefit corporation. Its technology portfolio includes industry-defining models like the GPT series (e.g., GPT-4o, GPT-5.1), the conversational platform ChatGPT, and the text-to-video model Sora. These tools drive innovation across multiple sectors, providing powerful, accessible AI capabilities for developers, businesses, and consumers worldwide.
  • Gemini
    Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
    Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.
  • Neo4j
    Neo4j is the world's leading native graph database, purpose-built for high-performance management and traversal of connected data.
    Neo4j is the leading native graph database, leveraging the Property Graph Model (nodes, relationships, properties) for data storage and retrieval . It is an ACID-compliant, high-performance platform designed for managing highly connected data at scale (billions of nodes) . Queries execute using the declarative Cypher query language, which simplifies complex traversals that would cripple relational systems with numerous JOINs . This architecture delivers orders of magnitude performance improvements (often minutes to milliseconds) for relationship-based queries . Major use cases include fraud detection, recommendation engines, and knowledge graphs for AI, trusted by 84 of the Fortune 100 .
  • Amazon EC2
    Provision and manage resizable compute capacity (virtual servers, or 'instances') on the AWS cloud.
    Amazon Elastic Compute Cloud (EC2) delivers secure, scalable compute infrastructure: We offer the industry's broadest platform, featuring over 1000 instance types optimized for diverse workloads (e.g., General Purpose, Compute Optimized). You select an Amazon Machine Image (AMI) — essentially a template with your OS and software — to launch a virtual server. EC2 supports multiple operating systems, including Amazon Linux, Ubuntu, Windows Server, and macOS. Key services like Auto Scaling and Elastic Load Balancing (ELB) are integrated to automatically adjust capacity and distribute traffic across instances, guaranteeing high availability and performance.