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Arrowhead

Human-like AI voice bots for enterprises.
General Information
Founders:
Devyani Gupta
Founded Date:
2022-01-01
Linkedin:
Headquarters Region:
Asia-Pacific (APAC)
Domain Rating:
0.6
Last Equity Funding Date:
2024-02-09
Last Equity Funding Type:
Pre-Seed

Overview

Arrowhead is a conversational AI platform that enables businesses to deploy ultra-realistic voice bots capable of holding natural, human-like phone conversations across sales, customer support, banking, insurance, and more. These voice bots are tailored to specific industries, respond in real-time, scale with call volumes, and support over 50 languages — revolutionizing how enterprises manage high-volume, multilingual voice interactions.

Key Features

  • Human-Like Voice Bots
    Simulates authentic human emotion and tone for natural-sounding conversations.
  • Live AI Call Capability
    Customers can engage in real-time calls with bots that converse like humans in multiple languages.
  • Multi-Language Support
    Bots communicate fluently in 50+ global languages, making Arrowhead ideal for diverse markets.
  • Scalable Call Volume Management
    Handles thousands of calls per day, automatically adjusting to daily volume spikes and load variations.
  • CRM Integration
    Seamlessly syncs with customer relationship platforms for lead tracking, updates, and automated follow-ups.
  • Industry-Specific Use Cases
    Customized bots for verticals like insurance, e-commerce, banking, edtech, lending, and more.
  • Compliance & Security
    SOC-2 compliant for secure deployment across global enterprises.

Pros

  • Truly Natural Voice Interaction: Emulates real human speech, tone, and emotion.
  • Versatile Across Industries: Ready-to-deploy use cases for finance, retail, insurance, education, and beyond.
  • Supports Global Expansion: With multilingual capabilities, it enables customer engagement across borders.
  • Automates Repetitive Calls: Reduces dependence on human agents for FAQs, scheduling, verification, and reminders.
  • Fast Deployment: Voice bots can be trained, customized, and launched in record time.

Cons

  • Voice-Call Specific: Currently optimized for audio calls — less applicable for chat-based workflows.
  • Enterprise-Scale Focus: Best suited for medium-to-large enterprises with large call volumes and technical support.
  • May Require Integration Time: Full CRM and system integration may take time depending on existing infrastructure.
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