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Helpx.ai

ORQEX — Build AI Agents That Execute Real Work

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Added
Jul 26 2024

About Helpx.ai

ORQEX builds AI agents that can be assembled into teams to perform business tasks. It allows users to define objectives, compose agents, select capabilities, and insert human checkpoints when needed. The system tracks outcomes and provides a structured, observable workflow from discovery to delivery. The approach centers on collaborative work between AI agents and human oversight within controlled boundaries.

The platform supports creating roles and goals for agents, configuring instructions and output, and coordinating multiple agents toward a shared business objective. It emphasizes orchestration, knowledge grounding, and execution with traceable actions. The design aims to enable complex work to move from research to delivery through an integrated AI workforce.

Users can deploy specialized AI agents across their business, starting with ready agent roles or creating their own. Each agent can have its own knowledge, tools, permissions, behavior and operating rules. The system highlights capabilities such as web research, data collection, knowledge base usage, APIs and systems connections, scheduling, alerts, and execution history.

Use cases

  • Research at scale to discover targets, sources and context.
  • Find, enrich and structure information from multiple sources.
  • Answer users with business knowledge and take approved actions.
  • Monitor websites, pricing, competitors and signals.
  • Cross-check critical facts, sources and confidence.

Key features

  • Create AI Agents by defining roles, goals, instructions, output and operating behavior.
  • Coordinate multiple agents into teams around a shared objective.
  • Ground agents in documents and private company knowledge.
  • Combine fixed workflow steps with AI decisions and actions.
  • Require human approvals for sensitive actions.
  • Hand off between bot and human with full context preserved.
  • Return work to the AI agent after human intervention.
  • Schedule and trigger autonomous runs.
  • Maintain memory of instructions and corrections for future runs.
  • Monitor information and issue alerts or reports.
  • Record execution history and tool usage.
  • Connect internal systems and let agents perform actions.

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