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What is AryaCare?

AryaCare is a cloud-based AI virtual assistant tailored for small to medium-sized businesses, adeptly handling customer interactions across multiple channels such as phone, WhatsApp, website chat, email, and Telegram. This assistant operates continuously, available 24/7 in 14 languages, and leverages content from a company's website along with any uploaded documents, including PDFs, Word files, or Excel spreadsheets. It efficiently schedules appointments, processes orders or reservations, and escalates requests that need human attention to appropriate staff, complete with a brief summary. Operators have the ability to oversee current conversations via a shared dashboard, where they can also access summaries and formulate responses. Furthermore, AryaCare can confirm pricing, links, and contact details before sending replies to customers. LML Technologies offers customization for each client, with a setup process that typically takes about two weeks and requires no technical skills from the user. This advanced tool is particularly beneficial for clinics, restaurants, retail shops, hotels, and various professional offices, helping them to significantly improve their customer service. As a result, AryaCare not only streamlines operations but also elevates the overall customer experience, making it a crucial tool in a competitive market.

What is Arya.ai?

Arya.ai distinguishes itself as a powerful AI platform tailored for the finance industry, offering an extensive array of both low-code and no-code tools alongside seamlessly integrable APIs. With its rich Apex API library housing over 100 specialized models, Arya.ai addresses diverse areas, including natural language processing, computer vision, predictive analytics, and biometric authentication—encompassing technologies like facial recognition and liveness detection—as well as optical character recognition and document fraud detection. Beyond these capabilities, it also provides features for health vitals scanning, translation, named-entity recognition, QR code masking, and image enhancement. The Weave orchestration layer facilitates smooth connections to existing databases, enterprise resource planning systems, and cloud services, allowing for secure real-time inference while maintaining strict governance throughout the workflow. Moreover, Arya's architecture is designed to support various deployment options, whether in the cloud, on-premises, or at the edge, with a strong focus on compliance with regulatory standards, ensuring auditability, minimizing latency, and enabling scalability to meet increasing demands. All these capabilities position Arya.ai as an essential tool for financial institutions aiming to harness cutting-edge AI technology effectively. In a rapidly evolving financial landscape, adopting such innovative solutions can pave the way for enhanced operational efficiency and improved customer experiences.

Media

Media

Integrations Supported

Telegram
WhatsApp

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

€79/month
Chat starts at €79/month and Phone at €149/month, plus VAT. Monthly plans include a 30-day money-back guarantee. One-time activation fees are €490 for Chat and €790 for Phone; annual plans include activation.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

LML Technologies

Date Founded

2024

Company Location

Italy

Company Website

aryacare.ai

Company Facts

Organization Name

Arya.ai

Date Founded

2013

Company Location

India

Company Website

arya.ai/

Categories and Features

AI Receptionists

Not specified

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

AI Orchestration

Not specified

API Gateways

Not specified

API Management

Not specified

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