Action Agent
Action Agent is an autonomous AI with enterprise‑grade controls that reasons, runs code, and executes tasks across your data and systems without manual prompting. It lets you build custom agents with shared tools for IT and business teams, activate them via a unified interface, and supervise performance at scale with governance and monitoring features. By ingesting large data files, the agent can analyze complex datasets and generate charts, graphs, and presentations; draw insights from competitive landscapes and research; and create ready‑to‑use outputs based on high‑level instructions. Action Agent consistently ranks #1 on GAIA Level 3 and Computer Use benchmarks, demonstrating proficiency in web search and scraping, data analysis and visualization, browser and system navigation, task orchestration, file generation, and code execution. A forthcoming library of 80 + connectors will ground its autonomy in real workflows, integrating with core enterprise systems.
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Agentation
Agentation is a visual feedback tool designed for AI coding workflows that transforms user interface annotations into a structured, machine-readable context that AI agents can understand and act on. It allows users to click directly on elements within a live application, add notes or feedback, and generate formatted output that can be pasted into AI tools such as Claude Code, Cursor, or other coding agents. This output includes precise technical details such as CSS selectors, source file paths, component hierarchy, and computed styles, enabling agents to locate and modify the exact part of the codebase without ambiguity. By capturing both visual context and user intent, Agentation eliminates the need to describe UI issues in natural language, reducing misinterpretation and improving the accuracy of AI-generated fixes. It operates through an interactive overlay that highlights elements on hover and supports structured annotations.
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Incredible
Incredible is a no-code automation platform powered by agentic AI models designed for real work across applications, letting users create AI “coworkers” that perform complex, multi-step workflows merely by describing tasks in plain English. These AI agents integrate with hundreds of productivity tools, CRMs, ERPs, email systems, Notion, HubSpot, OneDrive, Trello, Slack, and more to perform actions like content repurposing, CRM health checks, contract reviews, and content calendar updates without writing any code. Its architecture supports parallel execution of hundreds of actions with low latency and handles large datasets efficiently, dramatically reducing token limitations and hallucinations in data-critical tasks. The latest model, Incredible Small 1.0, is available in research preview and via API as a drop-in alternative to other LLM endpoints, offering high-precision data processing, near-zero hallucination, and enterprise-scale automation.
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Surfer H
Surfer H from H Company is an autonomous web-agent platform built to understand and navigate user interfaces like a human by combining three modular models; a policy model that plans tasks, a localizer model that identifies UI elements visually, and a validator model that checks outcomes. The agent works purely through the browser interface with no special API hooks, enabling it to scroll, click, type, and complete real-web tasks such as booking hotels, comparing product deals, or extracting structured information. When paired with H Company’s open-weight vision-language models, Surfer H achieved state-of-the-art performance on the WebVoyager benchmark (92.2% accuracy at around $0.13 per task) and supports deployment locally, via Docker, or on cloud infrastructure. Use cases span web automation, QA testing without brittle scripts, data harvesting, and intelligent workflow agents that interact with the web directly as a human would.
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