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Helia

Helia provides an AI voice agent infrastructure that manages the full lifecycle of technical support calls for industrial companies. The platform integrates natively with SAP, Salesforce, HubSpot, and Microsoft Dynamics to execute actions directly on enterprise systems during conversations, eliminating manual data entry and workflow interruptions. It maintains conversational memory across calls and operates 24/7 with sub-800ms voice response latency, with all data hosted in the EU.

Traction 9/10
Bologna, Italy · HQ
Founded 20265300+ followers
  • AI Agents
  • Artificial Intelligence
  • Enterprise Software
  • Software Only
  • Industrial Automation
Updated 8 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Industrial companies lose significant operational time to phone-based support interactions, where staff must interrupt their work to manually retrieve data from business systems, update records, and handle repetitive requests. Traditional phone assistants and menu-based systems lack the ability to execute actions on enterprise software, leaving the full burden of task completion on human employees and creating delays, data-entry errors, and workflow interruptions.

Solution

Helia provides an AI voice agent infrastructure that manages the full lifecycle of technical support requests in industrial environments. When a call comes in, the AI recognizes the caller, retrieves their history, and cross-references the company's enterprise stack—including SAP, Salesforce, HubSpot, and Microsoft Dynamics—to execute actions directly on the relevant systems during the conversation. The platform handles natural-language dialogue, updates tickets, modifies orders, checks inventory availability, and schedules appointments without human intervention. Helia maintains conversational memory across calls, allowing returning users to resume ongoing interactions seamlessly. The system also analyzes interactions to identify knowledge gaps and proactively flags missing information that customers need. Human teams receive notifications only after processes are completed, allowing them to focus on complex exceptions and high-value relationships.

Target Audience

Primary customers are mid-sized industrial manufacturers, logistics companies, and operations-heavy businesses that handle high volumes of technical support calls from partners, suppliers, and field technicians, including COOs and Innovation Managers seeking to digitize operations and customer care channels.

Features

  • Native integration with CRM, ERP, and calendar systems (SAP, Salesforce, HubSpot, Microsoft Dynamics) for real-time data retrieval and transactional updates during calls
  • Conversational memory that recognizes returning callers and resumes open cases from where they left off, with deep context management through dedicated business-process mapping onboarding
  • Warm transfer capability that passes full conversation context to human agents when escalation is required
  • Multilingual, 24/7 availability across phone, email, and other communication channels
  • Process-mapping onboarding that aligns the AI with specific company workflows and operational logic, enabling precise answers based on certified company data
  • Proactive knowledge-gap analysis that identifies missing information in the knowledge base based on customer interactions and reports exactly what clients need
  • Field technician support enabling voice-based access to manuals, spare-part availability, and maintenance-log updates without a computer
  • Direct integration with PBX systems and automatic caller identification from phone numbers for instant history retrieval and contextual responses
  • Sub-800ms voice response latency and 100% EU-hosted telephony, inference, and data storage
  • Agentic automation for complex recurring workflows, from inventory-based sales to follow-ups, with full audit trail and governance controls
This profile is AI-generated and may contain inaccuracies.