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Data Analytics

Rootlenses

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9.4
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Key Features

Overview

Rootlenses Suite is an AI-driven analytics and voice automation platform combining Rootlenses Insight and Rootlenses Voice. Insight is an AI-powered data analyst that securely connects to data sources and answers questions in natural language. Voice provides AI lifelike voices to place outreach calls, schedule appointments, follow up with prospects, and manage reminders. Capabilities include secure data integration, real-time querying with conversational UI for cross-functional teams, and outbound voice automation for outreach, scheduling, reminders, and rescheduling, aimed at faster decisions, improved service, lower costs, and scalability. The adoption path is outlined as a four-step process: expert consultation, solution definition (scope/roadmap), deployment (workflows + training), and ongoing optimization, with a CTA to book a free initial consultation. Public pricing is not listed; pricing is sales-led and available on request. Contact details ([email protected]; +507 2099002; +57 44310559; +1 215-883-4359) and office addresses (Panama main office; Medellín; Austin, TX) are provided on the Spanish page for reference.

Details

Developer
Launch Year
2025
Free Trial
No
Updated
2026-02-01

Features

Rootlenses Suite

AI analytics and voice automation as a cohesive product suite.

Rootlenses Insight

AI-powered data analyst that connects to data sources and answers questions in natural language.

Rootlenses Voice

AI lifelike voices to place calls, schedule appointments, follow up, and manage reminders.

Security + Real-time querying

Secure data integration and real-time, conversational querying for cross-functional teams.

Outbound automation

Outbound voice outreach, scheduling, reminders, and rescheduling to reduce no-shows.

Adoption path

Four-step process: expert consultation, solution definition, deployment, and ongoing optimization.

Screenshots

Rootlenses Screenshot
Rootlenses Screenshot

Audience

IndustriesUsed across multiple sectors including banking, automotive, healthcare, financial services, and tech.

Tags

AI analyticsvoice automationdata integrationappointment managementbusiness automationcross-industry

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