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Haiva is an adaptive agent platform whose core capability enables AI not only to generate answers but also to perform end-to-end real-world tasks—ranging from answering phone calls and resolving service tickets to fulfilling orders and scheduling appointments, all within closed-loop workflows. It does not rely on building new systems or migrating data; instead, it directly integrates with over 480 existing enterprise systems and APIs, including CRM, ERP, customer service, payment platforms, and more. Operating under real-time contextual guidance, it autonomously executes tasks and seamlessly hands off to human staff when human judgment is required.

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What is Haiva?

Haiva is an adaptive agent platform designed for enterprise operations, small and medium-sized merchants, and individual users. It offers a unified console and identity framework, encompassing Haiva Enterprise (for large-scale customer service and complex workflows), Haiva Business (a mobile-first AI workforce for small businesses), Haiva Personal (a private, Pangu-based personal assistant), Haiva Agent Studio (a natural-language-driven agent-building tool), and Haiva AgentOS (a self-hosted, managed runtime environment). The platform supports five interaction channels—text, voice, WhatsApp, API, and others—covering industries such as healthcare, retail, finance, infrastructure, and hospitality. It has already been deployed at organizations like Reliance Digital, Apollo Hospitals, and Phoenix Marketcity.

Key features

  • Adaptive agents possess real-time contextual understanding, integrating current data, relevant memories, and real-world signals to make dynamic decisions. Each agent operates strictly within clearly defined authorization boundaries, with tightly constrained system access, action limits, and termination conditions, ensuring safety and control.

  • The platform supports both single agents focused on executing a single task and multi-agent “swarms” that collaborate across systems to achieve unified business objectives, eliminating information silos and manual handoffs inherent in traditional workflows. All agents share the same context, delivering a consistent and traceable experience regardless of whether interactions are initiated via SMS, voice, or API.

Use cases and audience

Large enterprises (customer operations), small and medium-sized businesses (mobile-first AI employees), individual users (private smart assistants), as well as developers and builders (agent development).

  • In customer operations across sectors like healthcare, retail, and finance, it automatically handles customer service calls, marketing campaigns, and complex workflows, spanning both voice and digital channels.
  • Provide small businesses with a mobile-first AI assistant for answering phone calls, capturing business opportunities, and handling bookings and orders.
  • As a private intelligent assistant, it runs on personal devices without a cloud environment, supporting natural language interaction and authorized operations.
Input

Real-time contextual data, relevant memories, real-world signals, integration with existing system APIs, databases, and applications, along with user commands or conversational inputs.

Output

Specific outcomes of completed tasks—such as resolved service tickets, fulfilled orders, or booked appointments—as well as human handoffs accompanied by complete contextual details in case of exceptions, immutable audit logs, and coordinated actions executed across multiple systems.

Frequently asked questions

Does Haiva support on-premises deployment?

Support: Can run on Haiva cloud, user VPC, or fully offline on your own hardware, using the same runtime and control mechanism.

How does Haiva ensure operational auditability and controllable permissions?

Each agent operates under a real identity, with permissions strictly limited to systems and records that its role is authorized to access; sensitive steps require manual approval; all decisions, tool invocations, and result writes are recorded in an immutable audit trail.

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