GEP Quantum Intelligence

{
  "agent_id": "gep_quantum_intelligence",
  "name": "GEP Quantum Intelligence",
  "url": "https://gep.com/software/gep-quantum-intelligence/agentic-integration",
  "logo": "https://agentery.com/logos/CP-4PW7CZ.bin",
  "niche": "procure-to-pay-agent",
  "category": "finance-ops",
  "short_summary": "Integrates AI agents across enterprise systems for autonomous procurement; agents extract quotes, run sourcing events, negotiate with suppliers, and enforce co…",
  "task_performed": "Integrates AI agents across enterprise systems for autonomous procurement; agents extract quotes, run sourcing events, negotiate with suppliers, and enforce compliance across the source-to-pay process",
  "inputs_accepted": [
    "User natural-language requests",
    "ERP and external system data",
    "supplier and contract data"
  ],
  "outputs_produced": [
    "AI-powered automation",
    "real-time analytics",
    "sourcing events",
    "supplier negotiations",
    "compliance enforcement",
    "cross-system read/write actions"
  ],
  "integrations_available": [
    "Model Context Protocol (MCP)",
    "SAP",
    "Oracle",
    "NetSuite",
    "DocuSign",
    "Ironclad",
    "Conga",
    "Icertis",
    "Sirion",
    "LinkSquares",
    "Adobe Sign",
    "MS Dynamics",
    "Workday",
    "Infor",
    "SAP ECC",
    "SAP S/4HANA",
    "Basware",
    "EcoVadis",
    "ProcessUnity",
    "OneTrust",
    "Exiger",
    "SAP Ariba",
    "Coupa",
    "JAGGAER",
    "Ivalua",
    "Axiom",
    "Candex",
    "Amazon Business",
    "FourKites",
    "Project44",
    "Descartes",
    "BluJay",
    "E2open",
    "Kinaxis",
    "Blue Yonder",
    "o9 Solutions",
    "Snowflake",
    "Databricks",
    "Power BI",
    "Tableau",
    "Looker",
    "Palantir",
    "Alteryx",
    "Salesforce",
    "HubSpot",
    "SAP C4C",
    "Zoho",
    "Pipedrive",
    "Fieldglass",
    "Concur",
    "Expensify",
    "Ramp",
    "Brex",
    "Gmail",
    "Google Workspace",
    "Teams",
    "Slack",
    "Outlook",
    "M365",
    "AWS",
    "Azure",
    "TealBook",
    "Moody's",
    "TrustPair",
    "LexisNexis",
    "D&B",
    "Vertex",
    "CDQ",
    "Early Warning"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "procurement and supply chain"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "unclear",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": true,
    "billing": "contact_sales",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Contact sales (no public price)",
    "summary": "GEP Quantum Intelligence does not publish a numeric price and directs buyers to contact the company for pricing.",
    "confidence": "medium",
    "source_url": "https://gep.com/software/gep-quantum-intelligence/agentic-integration",
    "checked_at": "2026-09-02T04:42:08.598Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "GEP Quantum Intelligence",
        "price": "Contact for pricing",
        "period": null,
        "persona": "enterprise",
        "highlights": []
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Top Rated by Real Users",
    "customer logos / named enterprise integrations"
  ],
  "evidence_quality": "medium",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://gep.com/software/gep-quantum-intelligence/agentic-integration",
    "https://www.gep.com/software/gep-quantum-intelligence/agentic-integration"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://gep.com/software/gep-quantum-intelligence/agentic-integration",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1949,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:35:16.183Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}